Having the right solution at the right time can mean the difference between tabling thoughts or transforming industries. Ansys technologies put the power of innovation in your hands.
Join us for a free, virtual, global simulation event that is designed to inspire, equip and empower you to innovate.
Simulation is transforming mobility to address unprecedented challenges and deliver cost-effective, competitively differentiated solutions, from safer, more sustainable designs to the complex electronics and embedded software that define them.
The aerospace and defense industries must operate on the cutting edge to deliver advanced capabilities. Digital engineering helps them increase flexibility, update legacy programs, and speed new technology into service.
Industries rely on simulation to streamline production and distribution of safer, cleaner, more reliable energy through fuel-to-power conversions, and to accelerate scaling of low-carbon energy solutions.
Safer medical treatments require more testing and clinical trials, making traditional approaches less affordable. Simulation-driven in silico methods are reducing market costs and facilitating breakthrough innovation, without compromising patient safety.
Integrated electronics and semiconductors, 3D-ICs, embedded software, wired and wireless connectivity, embedded electromechanical subsystems and advanced sensors and displays: simulation helps contextualize them all within an entire system, from chip to mission.
Having the flexibility and open ecosystem needed to simulate modern, complex products and systems at scale requires the latest advancements in hyperscale and cloud computing.
AI-augmented simulation technology is a real game-changer, bringing unprecedented speed, innovation, and accessibility to engineering. It's not just about accelerating simulation, it's about making it simple, natural, and accessible.
Digital engineering sorts through complexity to reduce time, cost, and risk, increasing accuracy and performance with physics rigor to deliver a design infrastructure and open ecosystem along a two-way digital thread.
Electromagnetic simulation enables the successful modeling, analysis and design of many high- and low-frequency electronics, including computing platforms, generators and transformers, communications systems and satellites, and advanced driver-assistance systems.
Simulation solves complex structural engineering challenges quickly and efficiently through finite element analysis, customized and automated solutions for structural mechanics, and multiple design scenario analysis to ensure greater product integrity.
By gaining insights into the forces that affect fluid flow using CFD analysis, companies can make critical design decisions that significantly reduce energy consumption and improve product performance.
Optics-specific tools and workflows help optical designers innovate across an entire industry to expedite groundbreaking product development and improve performance, reliability, and yield — from the nano to the micro scale.
Increasing the speed and efficiency of semiconductor manufacturing requires comprehensive multiphysics EM/IR, thermal, and electromagnetic simulation to support 3D-IC design, bespoke silicon, and intelligent connectivity.
FEATURED SPEAKERS
Dr. Ajei Gopal
President and Chief Executive Officer, Ansys
Ajei Gopal's idea to drive "pervasive simulation," or the use of engineering simulation throughout the product life cycle, has transformed the industry. Prior to Ansys, he served in various leadership roles where he demonstrated his ability to simultaneously drive organizational growth and improve operational efficiency.
Dr. Prith Banerjee
Chief Technology Officer, Ansys
Prith Banerjee leads the evolution of Ansys technology and champions the company's next phase of innovation and growth. During his 35-year technology career — from academia, to initiating startups, to managing innovation in enterprise environments— he has actively observed, and promoted how organizations can realize open innovation success.
Walt Hearn
Senior Vice President, Worldwide Sales and Customer Excellence, Ansys
As an innovative business leader and simulation expert at Ansys, Walt Hearn leads high-performing teams to develop and execute sales strategy, technical excellence, and mentorship across the organization. He prides himself on ensuring customer success and helping organizations achieve top engineering initiatives to change the future of digital transformation.
Pete leads the development of nuclear reactors tailored for space at Westinghouse. Prior to joining, he has previously led development efforts on lunar landers, satellites, aircraft, helicopters & other robotic systems. He has multiple patents and publications and holds BS & MS in Mechanical Engineering from Drexel University.
AGENDA
Keynote sessions will not be available on demand following the event.
Agenda subject to change. Check back closer to event dates for more updates.
From the Racetrack to the Board Room: Winning with Simulation
Ajei Gopal
President & CEO at Ansys
From the Racetrack to the Board Room: Winning with Simulation
10:00 AM - 10:15 AM EDT
Smart organizations understand that failure simply isn’t an option when it comes to their products. They know that their product is ultimately their brand. That’s why they rely on the power of simulation to design, develop, and deliver next-generation products that defy imagination. From the largest brands on the planet, to the mid-market, to some of the most innovative startups, companies are breaking down barriers that have stood for decades or longer by harnessing simulation as their secret weapon. And we have only scratched the surface of what is possible – thanks to simulation.
Ajei Gopal's idea to drive "pervasive simulation," or the use of engineering simulation throughout the product life cycle, has transformed the industry. Prior to Ansys, he served in various leadership roles where he demonstrated his ability to simultaneously drive organizational growth and improve operational efficiency.
10:15 AM - 10:25 AM
10:15 AM - 10:25 AM
Engineering the Future: Ansys and NVIDIA
Jensen Huang
Founder and CEO at NVIDIA
Engineering the Future: Ansys and NVIDIA
10:15 AM - 10:25 AM EDT
Learn how Ansys and NVIDIA collaborate on AI and accelerated computing to revolutionize engineering simulations and product design across key industries.
Jensen Huang
Founder and CEO at NVIDIA
Jensen Huang founded NVIDIA in 1993 and has served since its inception as president, chief executive officer, and a member of the board of directors. NVIDIA is now driving the platform shift of accelerated computing and generative AI, transforming the world's largest industries and profoundly impacting society.
10:25 AM - 10:45 AM
10:25 AM - 10:45 AM
Simulation: The Engine of Innovation – Driving Quantifiable Transformation
Walt Hearn
SVP, Worldwide Sales and Customer Excellence at Ansys
Simulation: The Engine of Innovation – Driving Quantifiable Transformation
10:25 AM - 10:45 AM EDT
As we stand on the precipice of the Fifth Industrial Revolution, characterized by unprecedented connectivity and the convergence of physical, digital, and biological domains, simulation emerges as the cornerstone of transformative progress. This keynote explores the pivotal role of simulation in propelling us into this new era of innovation and growth. By harnessing advanced computational models and cutting-edge technologies, simulation not only revolutionizes traditional manufacturing processes but also serves as a catalyst for exponential advancements in digital engineering and fuels your AI. Through virtual prototyping, predictive analytics, and advanced simulations, companies can optimize product development lifecycles, anticipate market demands, and deliver tailor-made solutions that exceed expectations. From conceptualization to deployment, simulation enables agile, cost-effective, and sustainable approaches to digital engineering leveraging inputs to train and accelerate AI. Join us as we delve into the transformative power of simulation in driving the Fifth industrial revolution, illuminating the path towards sustainable growth, enhanced efficiency, and quantifiable savings across multiple aspects of operations.
Walt Hearn
SVP, Worldwide Sales and Customer Excellence at Ansys
As an innovative business leader and simulation expert at Ansys, Walt Hearn leads high-performing teams to develop and execute sales strategy, technical excellence, and mentorship across the organization. He prides himself on ensuring customer success and helping organizations achieve top engineering initiatives to change the future of digital transformation.
10:40 AM - 11:00 AM
10:40 AM - 11:00 AM
The Air Force Test Center Digital Modernization Strategy: Digital-First Initiatives to Ensure Warfighter Trust in Systems
John Grigaliunas
Technical Advisor at Air Force Test Center
The Air Force Test Center Digital Modernization Strategy: Digital-First Initiatives to Ensure Warfighter Trust in Systems
10:40 AM - 11:00 AM EDT
Digital Materiel Management requires the Test & Evaluation community to shift its mindset from providing data that supports decision making at discrete intervals to a mindset of providing a knowledge base as an input to refine the authoritative source of truth; which validates, updates, and refines the digital twin in a continuous evaluation process throughout the life cycle of a system, even before metal is bent.
But digital acquisition is about more than just building better systems; it’s about building systems better and allowing the acquisition community to design faster, enable seamless assembly, test more efficiently and effectively, and provide easier upgrades to maintain our competitive edge. But how will we decide when a model becomes so realistic that we accept it as a complete substitute for reality? The answer: when real-world data anchors the model; otherwise, it’s nothing but a fancy video game. And that real-world data comes from test, whether conducted on a supercomputer, in a pristine laboratory, or on a complex open air range.
In this presentation, I'll share the digital first initiatives the Air Force Test Center has made to marry digital and physical systems, the digital engineering principles applied to developing, delivering, and sustaining test capabilities, and the infrastructure investments made to enable data management.
John Grigaliunas
Technical Advisor at Air Force Test Center
Mr. John M. Grigaliunas, a senior-level executive, is the Technical Advisor for Flight Test and Evaluation, Air Force Test Center, Edwards Air Force Base, California. He is the senior technical advisor to the AFTC Commander regarding health and suitability of airframe, avionics/cyber, installed propulsion, and electronic warfare flight and supporting ground test capability across AFTC’s test ranges and facilities valued at more than $31 billion, including 116 aircraft and 164 ground test facilities.
10:45 AM - 11:05 AM
10:45 AM - 11:05 AM
Decarbonization Powered by ANSYS Tools
Decarbonization Powered by ANSYS Tools
10:45 AM - 11:05 AM EDT
The decarbonization is one of the biggest challenges of our generation to finally reach the net zero target. But the global energy demand is rising rapidly throughout the next years. Existing energy generation such as oil, gas and nuclear power have plenty of disadvantages. Solar and wind power generate carbon free energy. However solar panels are dependent on sunlight to effectively gather solar energy. And wind turbine’s effectiveness in generating electricity depends on the weather as well. We at GLOBE Fuel Cell Systems believe the future of energy lies in hydrogen. Because of its carbon free production its storability and transportability. That is why we develop and produce hydrogen powered fuel cell systems. We are currently developing a large 250kw fuel cell power generator together with our partner Rolls-Royce Power Systems. The project goal was a highly overall efficiency and therefore it was needed to secure equal air supply to both fuel cell stacks, by achieving the same flow regime of mass flow, pressure & humidity in the system. ANSYS tools are boosting our development speed, reduce our development costs and enables us to adopt a collaborative development style. And in our presentation, we will explain how.
10:45 AM - 11:15 AM
10:45 AM - 11:15 AM
Digital Engineering & Maturing Low-Carbon Solutions… An Accelerated Path to Sustainability
Digital Engineering & Maturing Low-Carbon Solutions… An Accelerated Path to Sustainability
10:45 AM - 11:15 AM EDT
In the long term, and to meet net-zero targets 2050 and beyond, we will need to mature low-carbon solutions. It has been estimated that more than 35% of the technologies we’ll need to meet such targets — offshore wind, carbon capture and storage, hydrogen hubs, fusion etc. — are not yet mature at the scale we need today. Contributions to further carbon reduction will rely on maturing these new low-carbon energy technologies. Digital engineering, simulation. and the broader digital transformation of the energy sector will all be accelerators in the maturing and scaling of these net-zero targeted solutions
10:45 AM - 11:05 AM
10:45 AM - 11:05 AM
Democratizing the In-silico Testing of Orthopedic Screws in Compliance with ASTM Standards
Democratizing the In-silico Testing of Orthopedic Screws in Compliance with ASTM Standards
10:45 AM - 11:05 AM EDT
This presentation showcases how standard ASTM or ISO physical tests can be virtualized using computer models and simulations (CM&S) and then used by non-simulation experts. With the help of Sawbones®, the leading provider of rigid foam blocks mimicking human bones for testing orthopedic implants, a CM&S was developed in ANSYS LS-DYNA and validated following the ASME V&V40 guidelines to predict the axial pullout force and driving torque of orthopedic screws in synthetic bones, according to the ASTM F543 standard. The CM&S is now embedded in a web-based application: with minimal input, the whole simulation is automatically set-up from the geometry creation to the generation of a simulation report that the end user can provide to the regulatory body. Thus, this application can be used by non-simulation specialists as a complementary or surrogate tool to the ASTM F543 experimental tests, resulting in a significant reduction in the time and resources required for evaluating new orthopedic screw designs. The presentation focuses on the validation process of the CM&S, its predictive performance and ends with a short overview of the web-based app.
10:45 AM - 11:05 AM
10:45 AM - 11:05 AM
Accelerating EV Battery Development for Safety and Performance through Simulation
Xiao Hu
Sr. Principal Engineer at Ansys
Accelerating EV Battery Development for Safety and Performance through Simulation
10:45 AM - 11:05 AM EDT
In this presentation, we will focus on EV battery thermal runaway propagation simulation. In such a simulation, we model the heat generation due to exothermal reactions during thermal runaway and the subsequent heat transfer of the heat to the cooling system. The exothermal reaction models are calibrated from the accelerating rate calorimetry (ARC) data of a battery cell. The heat transfer is modelled using conjugate heat transfer models in computational fluid dynamics (CFD). Modelling of venting and vented gas reaction is also discussed. Several validated examples will be shown in this presentation including module/pack runaway propagation and the associated venting and vented gas reaction.
Learn more about Ansys solutions for battery cell-to-pack design.
Xiao Hu
Sr. Principal Engineer at Ansys
Xiao is currently a Sr. principal engineer at Ansys. Xiao has spent 23 years of his career at ANSYS, Inc. For the last ten years, he has been focusing on EV/HEV battery simulations including battery electrical modeling, battery thermal management simulation, and battery electrochemistry modeling. Xiao has a Ph.D. degree in mechanical engineering from Purdue University.
10:45 AM - 11:05 AM
10:45 AM - 11:05 AM
Autonomous Vehicle Safety Through Accurate Simulation at Scale
Autonomous Vehicle Safety Through Accurate Simulation at Scale
10:45 AM - 11:05 AM EDT
Discover how Ansys tackles the engineering challenge of ensuring safety through scenario-based simulation testing within model-based systems engineering. Our presentation offers a comprehensive approach to safety, covering design integration, verification/validation, and incremental safety case delivery, all supported by simulation and analysis tools. An in-depth look at Ansys's commitment to safety and simulation at scale is provided, augmented by a testimonial from BMW, highlighting the groundbreaking 'Personal Pilot L3' featured in the new BMW 7 Series. Gain insights into integrating safety effectively, navigating system limits with a focus on safety and SOTIF, and utilizing synthetic sensor data for perception ML/AI training. Explore how simulation at scale validates Advanced Driver Assistance (AD) features, including sensitivity and reliability analysis within scenario-based simulations. Join us to explore the forefront of safety engineering in complex systems.
10:45 AM - 11:05 AM
10:45 AM - 11:05 AM
Arm Solutions Ansys Tool Integration – A Deductive Analysis Use Case
Arm Solutions Ansys Tool Integration – A Deductive Analysis Use Case
10:45 AM - 11:05 AM EDT
At ARM, we've developed a rapid prototyping approach for safety-critical systems using Ansys tools and custom scripts. This allows us to efficiently explore different system architectures with various IP configurations. We can then perform functional safety analysis within the same environment, minimizing downtime. Architectural changes can be driven by partner requirements, updates to our IP products, or even insights from the safety analysis itself. Our presentation will delve into this entire process. We'll showcase how Ansys SCADE Architect and Medini Analyze facilitates our Model-Based System Engineering (MBSE) approach, utilizing models with varying levels of detail and incorporating non-safety analysis data for a holistic view. We'll then demonstrate how custom scripts bridge the gap between SCADE Architect and Ansys Medini Analyze, automating fault tree creation for rapid prototyping. Finally, we'll highlight our current automation successes and future plans. This presentation aims to achieve two key goals. Firstly, we want to demonstrate that ARM goes beyond offering individual component IPs; we strive to solve problems at the complete system level. Secondly, we want to share our valuable experience with Ansys, highlighting features we've found particularly useful to encourage further development of their toolchain.
10:45 AM - 11:10 AM
10:45 AM - 11:10 AM
3D Modeling and Flow Simulation in Complex Congenital Heart Disease
3D Modeling and Flow Simulation in Complex Congenital Heart Disease
10:45 AM - 11:10 AM EDT
Patient specific 3D models of complex congenital heart disease can be created from CT or MRI scans. These engineering quality surface models of the heart are used by surgeons for preoperative planning and intraoperative guidance to repair congenital defects. Our engineering team at Boston Children’s Hospital performs virtual surgery on the 3D models to reflect the planned operation or several options for repair. Computational fluid dynamics is utilized to evaluate the blood flow through the heart and blood vessels in different configurations to evaluate different operative repairs and quantitatively determined the best option. This utilization of 3D modeling and computational fluid dynamics has been transformational in the care of children with the most complex congenital heart disease.
10:45 AM - 11:10 AM
10:45 AM - 11:10 AM
Chips are Everywhere – What Are 3D-ICs, and Why Are They Changing the World?
Chips are Everywhere – What Are 3D-ICs, and Why Are They Changing the World?
10:45 AM - 11:10 AM EDT
Every industry – from automotive, aerospace, and defense, to consumer, industrial, and medical – is undergoing a digital revolution, where semiconductor chips (aka integrated circuits, or ICs) are enabling amazing new functionality and differentiated, bespoke products. This and the AI revolution with applications like ChatGPT are driving an insatiable need for more computational power to push the boundaries of industrial sectors such as autonomy, electrification, high-performance compute (HPC), and 5G/6G connectivity. One of the key underlying reasons this has become possible is advanced new semiconductor packaging technology called 3D-IC that allows dozens of chips to be stacked together and operate like one, giant silicon system. This session will discuss what 3D-ICs are as well as the challenges and opportunities they present to a number of industries. We also will highlight how the 7-year partnership between Synopsys and Ansys has played a key role in making this technology revolution a practical reality.
11:00 AM - 11:20 AM
11:00 AM - 11:20 AM
Wireless Channel Modeling for Dynamic Terrestrial Environments
Shawn Carpenter
Program Director, 5G & Space at Ansys
Nate McBee
Senior Manager Product Management at Ansys
Wireless Channel Modeling for Dynamic Terrestrial Environments
11:00 AM - 11:20 AM EDT
As wireless systems become complex and reach for more spectrum, RF engineers must rely on high-fidelity simulation solutions to model and test their proposed new networks effectively. We offer tools to address these challenges and enable network architects and mission planners to digitally model and simulate dynamic wireless networks within an accurate systems simulation environment. Leveraging solutions for electromagnetic wave propagation, electronically steered antenna design tools, and a digital mission simulation, engineers can rapidly deploy models and execute them within a high-fidelity, physics-accurate digital testing environment. Engineers will understand the impacts of terrain, urban landscapes, and the dynamic kinematic motions across any number of simulated scenarios needed to test anticipated wireless network performance against design requirements thoroughly. Ansys is combining these industry-leading modeling and simulation tools to provide a workflow-driven solution to these unique needs and challenges. Join us to learn more about the new Ansys RF Channel Modeler and how it can help you and your organization leverage digital modeling and simulation tools like never before.
Shawn Carpenter received his BEE degree in electrical engineering from the University of Minnesota Institute of Technology in 1988, and an MSEE in Electrical Engineering from Syracuse University in 1991 concurrently with the General Electric Thomas Edison Advanced Course in Engineering program. He has served as a Senior Microwave Engineer in Module Design and Array Technology for the GE Aerospace Electronics Laboratory (Syracuse, NY), VP Sales and Marketing for Sonnet Software, Inc., and Director, Sales & Marketing for Delcross Technologies. Shawn joined Ansys Inc. during the 2015 acquisition of Delcross Technologies and is currently a Program Director for 5G and Space applications. His current interests include phased array modeling techniques for MIMO and adaptive beamforming, installed antenna-host interactions, mm-wave radar sensor modeling and wireless physical channel modeling for electrically large environments. He is also an active amateur radio (ham) operator with callsign N2JET, embracing a hobby he adopted at age 11.
11:00 AM - 11:20 AM
11:00 AM - 11:20 AM
Cell Therapy Can Cure Cancer. Bring It To Life.
Gerald Kreindl
Chief Technology Officer at Sarcura GmbH
Cell Therapy Can Cure Cancer. Bring It To Life.
11:00 AM - 11:20 AM EDT
Sarcura is an Austrian start-up company developing a high-tech platform, utilizing leading-edge semiconductor technologies and photonics integrated in microfluidic cartridges. The goal is to enable cell therapy companies to scale manufacturing capacity 100x, reduce costs by 10x while bringing bioprocess control to cellular level. We believe that only by bringing together autonomy, integration (of additional functionality), miniaturization, and modularity we can achieve the 100-fold increase in manufacturing capacity the cell therapy industry requires. This presentation will demonstrate how Ansys will help Sarcura to reduce cost and dramatically increase cycle-of-learning. This is especially true in the design and optimization of realistic engineering components, sub-systems and geometries mainly related to next generation Semiconductors, Micro-Electro-Mechanical Systems and Microfluidics. Furthermore, Ansys helps to better understand, parametrize and predict component and sub-system level understanding which ultimately leads to a faster time to market.
Gerald Kreindl
Chief Technology Officer at Sarcura GmbH
Gerald Kreindl is a seasoned industry expert, leading research and development efforts, spanning basic research and technology development through late-stage development in the semiconductor and life-science sector. Gerald earned a degree in Chemical Industrial Engineering from the Technical College in Wels, Austria in 2001 and a Master of Business Administration for Biotechnology and Pharmaceutical Management from the Danube Business School in 2019. He holds more than 20 (pending and issued) patents and has written several publications in journals.
11:00 AM - 11:20 AM
11:00 AM - 11:20 AM
Developing High Efficiency EV Powertrains
James Goss
Principal Product Manager at Ansys
Developing High Efficiency EV Powertrains
11:00 AM - 11:20 AM EDT
Ansys ConceptEV is new innovative cloud-based design & simulation platform for the design of EV powertrains. It enables engineers to collaborate on a shared system simulation connected to requirements from the start of the design process. ConceptEV provides a model-based approach to optimizing the powertrain system & components with rapid evaluation of different powertrain configurations & component design choices using innovative simulation techniques. This presentation introduces a revolutionary new tool from Ansys that will allow you to optimize your powertrains and your teams.
James Goss
Principal Product Manager at Ansys
James is a Principal Product Manager at Ansys and the former CEO of Motor Design Ltd. He has worked throughout his career on the development of design and simulation tools for electric machines and holds a Doctorate in the design of electric machine from the University of Bristol.
11:00 AM - 11:20 AM
11:00 AM - 11:20 AM
High-Performance Design with Rapid RTL Profiling of Critical Power Scenarios
Alexander Pivovarov
Senior Member of Technical Staff at AMD
High-Performance Design with Rapid RTL Profiling of Critical Power Scenarios
11:00 AM - 11:20 AM EDT
High current events (di/dt) in the SoC are the result of the sudden high current demand caused by a large number of simultaneous switching activities from the workload. Unless appropriate mitigation strategies are in place, these di/dt events can cause significant voltage drops in the power grid. From an analysis of RTL level switching activity profiles of representative workloads and their dynamic power profiles, the critical windows where adverse di/dt events might occur can be revealed. Consequently, RTL stage solutions for better Power & Performance can be implemented in a timely manner, during the design phase.
Alexander Pivovarov
Senior Member of Technical Staff at AMD
With over 10 years of experience in the semi-conductor industry, Alexander has had significant exposure to design verification and power convergence, both at IP level and at SoC. He has worked on analyzing and driving power optimization across numerous projects and has developed novel methodologies for getting more accurate results.
11:00 AM - 11:20 AM
11:00 AM - 11:20 AM
Digital Engineering for Wastewater Sustainability: CFD for Water and Wastewater Engineering
Rodrigo de Oliveira Marques
Water and Wastewater Engineer at Worley
Digital Engineering for Wastewater Sustainability: CFD for Water and Wastewater Engineering
11:00 AM - 11:20 AM EDT
Worley is driven by a common purpose: delivering a more sustainable world. Our ambition translates our purpose into what we do operationally, and digital transformation plays a central role in transitioning from ambition to reality. Computational fluid dynamics (CFD) simulation for water and wastewater engineering is an asset with remarkable potential to assist Worley’s clients in delivering a more sustainable world. In this context, Ansys and Worley partnered up to bring CFD simulations into the water and wastewater field, with several possible applications even during initial project stages.
Senior process engineer (M.Sc. and PhD) specialized in treatment process modelling and design. Has practical experience with municipal clients (water and wastewater treatment plants) and various types of industries, such as: ammunition, battery, beverage, chemical, cosmetic, metallurgical, and steel
11:05 AM - 11:25 AM
11:05 AM - 11:25 AM
Numerical Analyses for Energy Infrastructure
Numerical Analyses for Energy Infrastructure
11:05 AM - 11:25 AM EDT
The design of Energy Infrastructure is a challenging task. It involves the analysis of multi-disciplinary, highly non-linear systems and components with complex geometries, subjected to a variety of loading types, that cannot always be addressed using analytical approaches, therefore advanced numerical analyses are often employed to address these challenges. This presentation summarises applications examples comprising structural finite element (FE) analyses, computational fluid dynamics (CFD) analyses, as well as coupled fluid-structure-interaction (FSI) analyses.
11:05 AM - 11:30 AM
11:05 AM - 11:30 AM
Achieving Increased Battery Consistency and Quality with Production Process Simulation
Achieving Increased Battery Consistency and Quality with Production Process Simulation
11:05 AM - 11:30 AM EDT
The battery manufacturing process is a crucial link to driving innovation in transportation. It directly determines the yield of the final battery product, and many factors such as material usage and production scale that can also affect the company's profits. However, meeting the dynamic and evolving nature of the EV battery market requires more than increasing production capacity and reducing supply chain risks. Manufacturers are continually striving to improve energy density which involves the utilization of new materials and chemistries to enhance performance. The industry is also looking for ways to minimize environmental impact of manufacturing and disposal. Ansys battery manufacturing solutions provide end-to-end simulation capabilities to optimize the production process for the improvement of battery cell quality and operating conditions as well as perform predictive maintenance in a digital twin context. Corresponding best practices for electrochemical modeling, lifetime prediction of battery cell, and reducing maintenance cost will be shared.
11:05 AM - 11:30 AM
11:05 AM - 11:30 AM
Integrated Modeling and Simulation to Support the Digital Engineering Ecosystem
Integrated Modeling and Simulation to Support the Digital Engineering Ecosystem
11:05 AM - 11:30 AM EDT
Digital Engineering (DE) is a transformational approach to not only Systems Engineering, but a Digital Ecosystem (DECO) that is used throughout the program lifecycle. The implementation of DE and its associated digital environments provide a robust approach to system development and lifecycles to ensure that requirements are well defined, system disconnects are identified early, and inter-operability is maintained. The use of Model Based Systems Engineering (MBSE) provides digital trace during the Project Definition phase. MBSE is the same implementation of the Systems Engineering V-Model, but instead of a paper-based paradigm, a digital living model is used to describe the Concept of Operations, Requirements, Architecture and Detailed Design (the left side of the V). The Digital Model facilitates the Verification and Validation (V&V) of System and Mission Level Requirements with the use of Digital Twins that can identify deficiencies and disconnects early in the system lifecycle. A Digital Twin (DT) is an evolving model of the system that is used to perform V&V and trace the requirements by allowing for simulation of performance that is representative of the Key Performance Parameters (KPPs) and Key System Attributes (KSAs). These KPPs and KSAs are compared to the performance metrics that make up the requirements. This continuous cycle of utilizing the DT to V&V requirements is used through the Project Test and Integration phases of the system lifecycle (the right side of the V) as trade studies, optimizations, analysis of alternatives, and other Multi-Disciplinary Analysis and Optimization (MDAO) studies are performed. In addition, Product Lifecycle Management (PLM). Build of Materials (BOM), reduced order DT’s that leverage feedback from the system, and advanced trade studies all support system life extensions and change management throughout the final phases of the lifecycle. DE encompasses, MBSE, Computer Aided Design, Product Lifecycle Management, and end of life programs. Each of these phases are digital environments that can be incorporated into a Digital Ecosystem. A digital engineering ecosystem includes enterprises’ interconnected digital environments, stakeholder-networks, and semantic data that allows the exchange of digital artifacts from an authoritative source of truth to serve the stakeholder communities' interests. These systems are collaborative and use digital environments to enable pre-agreed rules for transacting the exchange of digital artifacts from Authoritative Sources of Truth (ASoT) within a stakeholder network. This enables agile, rapid, and flexible development cycles to field complex systems of systems encompassing the entire Product Lifecycle. In addition, the DECO is extended into the programmatic environment and used in conjunction with the Cost, Schedule, Technical Risk analysis along with Enterprise Resource Management (ERM) tools and data to provide the highest level of integration for informed decision making for the Program Manager. This paper will present an overview of the various Digital Environments incorporated into a Digital Ecosystem (DEco) that can be used to support the entire system lifecycle. This paper will illustrate the overall DEco required and example architectures of Digital Twins, MBSE, and other analytics and methodologies used to ensure proper configuration of ASoT data as well as the development of Business Processes that are used to configuration manage and orchestrate the flow of data throughout the DEco.
11:05 AM - 11:50 AM
11:05 AM - 11:50 AM
Realizing Digital Transformation
Realizing Digital Transformation
11:05 AM - 11:50 AM EDT
Digital transformation aims to have more integrated processes to improve design and better identify and communicate requirements. Additionally, to compress design and delivery timelines and reduce risk and uncertainty. Accomplishing these goals requires a change to existing workflows and processes. This webinar presents how Digital Mission Engineering solutions support integration and streamline development team workflows. We will demonstrate how our simulation solutions can change how air systems are developed. What You Will Learn Reduce risk and uncertainty with digital transformation Speed time to market Streamline development workflows.
11:10 AM - 11:50 AM
11:10 AM - 11:50 AM
Healthcare Regulatory Panel Discussion
Healthcare Regulatory Panel Discussion
11:10 AM - 11:50 AM EDT
Potential Questions for discussion:
· What drew you personally to modeling and simulation technology and the interface with healthcare?
· How is modeling and simulation perceived within your agency/organization?
· How do you or your organization perceive the potential for modeling and simulation to impact the population for which you are responsible or the organizations you serve?
· What possibly unique challenges is your organization facing in advancing modeling and simulation?
· How can the leaders here in the audience from pharma, medical device, and medical technology partner with you or support you in achieving your respective missions or overcome the challenges associated with regulatory use of modeling and simulation?
11:20 AM - 11:40 AM
11:20 AM - 11:40 AM
Automotive Manufacturing Simulation Advances
Mikael Schill
Senior Manager Application Engineering, Dynamore Nordic at Ansys
Automotive Manufacturing Simulation Advances
11:20 AM - 11:40 AM EDT
The automotive industry is undergoing significant transformations driven by the weight reduction in Body in White structures and the shift towards Electric Vehicles (EVs). This necessitates a transformation from conventional design paradigms towards lightweight, multi-material solutions. Correspondingly, process simulations must evolve to accommodate novel manufacturing methods, demanding precise material descriptions, increasing accuracy, efficient multiphysics integration, and novel joining methods. Production process simulation aids in both manufacturing process development and part design, while also providing essential inputs for subsequent performance simulations such as crash safety analysis. Consequently, as the performance standards for cars escalate, so do the demands on manufacturing simulations. This presentation discusses the automotive industry's pressing need for advanced production process simulations, illustrating various application challenges and accompanying solutions within a virtual process environment. By addressing these challenges, the automotive sector can navigate the complexities of modern design and manufacturing, ensuring efficient and effective production processes in the era of lightweighting and electric mobility.
Mikael Schill
Senior Manager Application Engineering, Dynamore Nordic at Ansys
Dr Mikael Schill PhD in Solid Mechanics from Linköping University in Sweden 25 Years experience with working with LS-DYNA. Since 2023: Team leader for the Production Process Team at Dynamore (an ANSYS Company)
11:20 AM - 11:40 AM
11:20 AM - 11:40 AM
Digital Innovation in Design
Jeppe Funk Kirkegaard
Head of TE Digital Innovation at Siemens Gamesa Renewable Energy
Digital Innovation in Design
11:20 AM - 11:40 AM EDT
Digital Innovation at Siemens Gamesa Renewable Energy supports the business through the pursuit of authoritative models in design using an advanced reduced order model paradigm and with mass consumption of field data using digital threads.
Jeppe Funk Kirkegaard
Head of TE Digital Innovation at Siemens Gamesa Renewable Energy
Mr. Jeppe Funk Kirkegaard received a Master’s degree in Mechanical Engineering from Aalborg University in 2006, a Bachelor’s degree in Business Administration from VIA University in 2017 and is a certified Senior Project Manager (PMI). He has been with Siemens Wind Power since 2011, first as project manager in the Blades Technology Module and in 2015 moving to engineering management positions starting with responsibility for project and technology management in the blade area before he took the position as head of the Blades Structural Design department in 2018. He has recently been responsible for scoping of new offshore turbines and is currently Head of Digitalization for R&D focusing on how to support design processes and the internal tool stack with technologies like digital twins, surrogate modelling and xR.
11:20 AM - 11:40 AM
11:20 AM - 11:40 AM
In-Silico Modelling of Tumor Prognosis: Towards the Digital Twin
María Angeles Perez Anson
Professor at University of Zaragoza, Spain
In-Silico Modelling of Tumor Prognosis: Towards the Digital Twin
11:20 AM - 11:40 AM EDT
The complexity of cancer arises from the intricate interplay of diverse biological interactions together with a significant genomic heterogeneity.
In-silico research has an enormous potential in contributing to deliver personalised diagnosis, prognosis and treatment for cancer.
By harnessing this potential, we can pioneer the development of a digital twin of cancer, enabling customized and precise healthcare interventions tailored to individuals battling the disease.
We present here a methodology for the creation of patient-specific tumour models, which incorporates the following initial patient-specific conditions: tumour geometry, cell density and tumour vasculature, all of which are obtained from clinical Magnetic Resonance Imaging (MRI) data.
The methodology has been numerically implemented using Ansys and it is here applied to two neuroblastoma (paediatric cancer) cases with different prognosis, who received similar chemotherapy treatment.
The in-silico model showcases its capacity by effectively predicting the degree of tumour shrinkage resulting from chemotherapy, highlighting its inherent potential.
María Angeles Perez Anson
Professor at University of Zaragoza, Spain
María Angeles Pérez is a Professor at the School of Engineering and Architecture at University of Zaragoza (Spain) and researcher at Engineering Research Institute of Aragon (I3A). She obtained her PhD in Computational mechanics (2004), afterwards she was a postdoctoral fellow at the Trinity College Dublin (Ireland) and at the Ecole de technologie supérieure Montreal (Canada). She is a member of the European Society of Biomechanics since 2007. Her present research and collaborations mainly focuses on computational biomechanics and mechanobiology, design of prostheses and implants and experimental and computational tissue engineering. She is an author of more than 50 publications in peer- reviewed journals, and more than 150 contributions to International and National Conferences. She has been part of the Council of the European Society of Biomechanics (ESB) during 8 years (2012-2020), being President of the ESB (2018-2020). She is the principal investigator of the research group Multiscale in Mechanical and Biological Engineering (University of Zaragoza) and of many research projects. She has been also the Director of the MSC in Biomedical Engineering at the University of Zaragoza and actively took part of the PhD program in Biomedical Engineering.
11:20 AM - 11:40 AM
11:20 AM - 11:40 AM
Digital Engineering for Navy Systems: Digital Thread to improve Life Cycle Support
Manuel Martínez
Director of Engineering and Shipbuilding at Armada
Digital Engineering for Navy Systems: Digital Thread to improve Life Cycle Support
11:20 AM - 11:40 AM EDT
To be successful in the acquisition of complex systems such as warships, a very rigorous process should be followed.
As stated by the “European Defense Agency”, effective military capabilities can take decades to research, develop, procure, integrate and field, but new threats can emerge with little warning.
So, the problem for defense stakeholders is to “think in advance” and to “understand the future” in terms of critical technologies and new threats. This is a challenge not only for the warship industry but also for the defense ecosystem. Therefore it is critical to “accelerate” the acquisition process, and consequently digital engineering proves to be a key tool to assist navies and Defense Industry to do so.
Just to understand the complexity, a modern warship operates in 5 domains simultaneously: air, underwater, surface, space, and “bottom sea” in a highly integrated way.
• Air: predictable and under “Maxwell Equations” for RF signals.
• Underwater: unpredictable and difficult to detect and track. Limited communications & need of AI/ML for underwater signal intelligence.
• Surface: intersection of previous domains; challenging scenarios with full of clutter and “environmental noise” that might limit sensor performance. Emerging threats based on low cost UXVs.
• Space: based on MTMD requirements, satellite communications, precise navigation and timing,…
• Bottom Sea: surveillance and protection of strategic assets, materials (e.g. minerals) and infrastructure (e.g. underwater cables).
These points highlight the huge challenges ahead for warships system design and shipbuilding. Some relevant examples include but are not limited to: increased sensor sensitivity; consideration of the ship as a cloud (computing capability and data center); integration of extra wide-band secure communications; development and integration of highly sophisticated direct energy weapons; electromagnetic complexity and antenna topside characterization and design; new energy management and efficient electric systems (new systems are “power hungry”); signature optimization and system of systems concept and operational impact.
What does digitalization mean for defense systems?:
• User domain:
o Model Based System Engineering (MBSE) to help the user to better characterize and define requirements and system specifications.
o Modelling and virtual reality to achieve “smart logistics” (Model Based Product Support, MBPS).
• Industry domain:
o Modelling to ensure system design.
o Simulation to develop a virtual ecosystem based on the digital twin of the real system.
Currently, Spanish Armada and industry are developing a digital ecosystem for current and future navy programs. The challenge is to accommodate “system engineering” and “digital engineering” in a seamless way to ensure the development of a “digital thread” to be used for both industry and Armada during the life cycle of a warship.
To address MBSE and simulation in the system engineering context, there is a new “V Chart” developed by Navantia called “Diamond Chart” that states the so called “digital thread” in warship acquisition programs. This approach requires industry and Armada to work together during the life cycle of the acquisition program. Digital interoperability is a must.
The process starts by establishing the “need” by the user, the Navy. Then, the typical system engineering “V chart” in the physical domain is followed, but including a “specular twin” in the virtual domain. The top-down thread (specification-design-implementation) is driven by a bottom-up modelling that points down to each system engineering milestone. This means that no design decision is made in the physical system until the corresponding model has been assessed in the virtual domain.
Once the physical system is built, the bottom-up testing thread drives a top-down simulation assessment from virtual production to virtual qualification and finally virtual certification.
This means that at the end of the production phase, the real system and a digital twin come together and this is the starting point for the life cycle support, including predictive maintenance and smart logistics in one side (the Navy) and product improvement that drives field optimization in the industry side.
We can take the current F-110 Program as an example of how Armada and Navantia (as technical design authority) worked together to develop user requirements and system specifications using modeling and simulation toolboxes, such as ANSYS.
Road to SDR. For the definition phase, Armada placed a contract with Navantia which played the role of “design authority” for Navy ships, to develop the ship definition that finally resulted in a complete set of ship system specifications.
Digital engineering, modelling and simulation were widely used in areas such as:
• Electromagnetic modelling
• Forced Vibration Analysis for the ship to comply with the most advanced “comfort” “system environmental” requirements.
• Hull optimization based on CFDs and hull design validation in hydrodynamic channels.
• Modelling and simulation to support design decisions to comply with the signature requirements established by the NSR.
• Digital Twin development in critical systems to support predictive maintenance and to help developers to improve their product during life cycle.
In summary, physical and virtual integration is only possible having the appropriate digital infrastructure that helps navies and industries to develop a robust digital thread. This is critical to have an affordable life cycle support for complex systems and this is why ANSYS is so important as enabler to navies /MODs and industry.
Manuel Martínez
Director of Engineering and Shipbuilding at Armada
Vice Admiral (VADM) Manuel Antonio Martinez Ruiz is a retired admiral, serving previously as Director of Engineering and Naval Shipbuilding in the Spanish Navy Logistics Command. He was graduated in the Naval Academy in 1983 as line officer, spending several in warships. In 1995 he joined the Spanish Navy Engineering Branch once completed the corresponding studies at the Royal Observatory of the Navy and at the ETSIT (Telecommunications Technical School at the Polytechnic University Madrid). In 2003 he became PhD in Telecommunications Engineering after completing the doctorate at the “Carlos III University of Madrid (UC3M)”. As a Navy Engineer officer, he was appointed to the Navy Research & Development Center (CIDA), participating in some of the most relevant projects in the Spanish MOD (EW, TDLs, C2, etc…). He was representing Spain (DGAM) in international NATO R&D programs as well. In 2002, he passed the Joint General Staff Course “EMFAS” (2002- 2003) at the “CESEDEN” Center in Madrid, and afterwards he was assigned a position in the Logistics Division of the Navy Staff, Navy Programs Section. In 2005, he was appointed to SPAWAR (International Office of the MIDS Program, Logistics Division), in San Diego, CA (USA), as Spanish representative until 2009, with responsibilities in platform systems integration and in contract negotiation with US and European defense companies. In 2009, he was moved again to the frigate F-100/F-105 Program Office, being named Head of Program in 2011 and Director for the Operational Qualification Tests (CSSQT) for the Frigate F-105 "Cristobal Colon", in the USA. In 2014, he was appointed by the MOD Secretary of State, as the new Frigate F-110 Program Manager, in the Directorate General of Armament and Material (DGAM), Subdirectorate for Programs Management. On March 3, 2018, he was promoted to Rear Admiral and he was appointed as Deputy of Engineering in the Spanish Navy. On September 28, 2018, he was promoted to Vice Admiral and he was appointed as Director of Engineering and Naval Constructions on October 3. VADM Martinez Ruiz is a frequent lecturer in Universities invited by the Spanish Institute for Strategic Studies and CESEDEN, such as the Polytechnic University of Madrid, the Complutense University of Madrid, UC3M, the University of La Rioja, the University of Valladolid, the Jean Monnet Center of Excellence, Camilo Jose Cela University, etc. He has been an associate professor at the Universidad Carlos III, and is a tenured professor of the Master in Logistics and Economic Management for the Defense at the Complutense University of Madrid (UCM) and Professor of the International Master of Military Naval Engineering at the Naval Engineering School (ETSIN-UPM). He was given an excellence award by the UCM. He has also given conferences and seminars on naval programs, BMD (Ballistic Missile Defense) capabilities and logistic support integrated in multiple specialized forums, both in Europe and in South America and the US. He has passed several engineering courses in NATO and in the USA. He has also completed the Program Management, High Logistics Management Courses and National Defense Course for General Officers at CESEDEN. He has extensive international experience in Program Management, Defense Technology, System Engineering and Integrated Logistic Support topics.. He has represented the DGAM in industrial conferences in International Programs in Canada, Saudi Arabia, Colombia, US etc... VA Manuel Martinez Ruiz was retired august 05, 2023. He is still involved in Conferences and Seminars as keynote speaker and defense acquisition expert. He is Senior Advisor for Mckinsey in Aerospace and Defence.
11:25 AM - 11:45 AM
11:25 AM - 11:45 AM
Accelerate Hydrogen Adoption Using Ansys Simulation
Accelerate Hydrogen Adoption Using Ansys Simulation
11:25 AM - 11:45 AM EDT
Hydrogen is an important element of cleaner technology to accelerate the ongoing energy transition and meet the decarbonization goals of several countries. It plays a dual role in the global decarbonization mission as an energy storage medium for integrated energy systems and as a cleaner fuel for mobility, heavy industry (e.g., iron and steel, chemicals, cement, etc.), aviation, maritime shipping, and other industries. There has been a tremendous focus on the hydrogen value chain — which includes hydrogen production, storage and transportation, and utilization (or consumption) to enable sustainable and safer hydrogen adoption. Simulations plays an important role in understanding the performance of different systems and components to accelerate their designs. This talk will showcase how industry leverages simulations throughout hydrogen life cycle from design to operations.
11:25 AM - 11:45 AM
11:25 AM - 11:45 AM
HiL for 5G and 6G: Testing Real Radios as Installed in Virtual Cities
HiL for 5G and 6G: Testing Real Radios as Installed in Virtual Cities
11:25 AM - 11:45 AM EDT
What if you could test a real 5G or 6G radio (or radio design) in any city or location without installing a single antenna, or obtaining an installation permit? This presentation describes a joint technical collaboration between Ansys and Keysight Technologies for virtual-city over-the-air (V-OTA) installation testing of 5G/6G radio systems. Ansys tools provide the industry gold-standard in high frequency electromagnetic design of 5G/6G base station antenna systems and integrated mobility device antennas. In addition, Ansys has developed the new Ansys RF Channel Modeler to model RF propagation in highly interactive installation environments in real time, capturing high-fidelity wideband wireless channel models that connect base stations to mobile wireless devices, accounting for network subscriber motion over time. Keysight Technologies is a recognized world leader in RF test and measurement hardware, as well as waveform and protocol analysis tools. They provide a toolkit called SystemVue that provides RF system functional block simulation, together with tool templates centered around commercial vehicular radar and 5G/6G radio and signal processing system modeling. In addition, Keysight provides a hardware channel emulator in a product called PropSim GCM. PropSim GCM uses wireless channel delay spread models from ray-tracing modelers or from other-the-air testing activities and uses that data to program an FPGA-based wireless channel emulator. Real hardware devices can be connected to this emulation box for test and evaluation. Hardware devices can include 5G radios and baseband units, 5G waveform and protocol analyzers, mobile 5G devices, and spectrum analyzers. The combination of Ansys HFSS, RF Channel Modeler with Keysight SystemVue and PropSim GCM provides 5G and 6G developers the ability to test virtual and real radio designs with physics-accurate antenna system models, against accurate, dynamic installation environment locations—entirely in simulation.
11:30 AM - 11:55 AM
11:30 AM - 11:55 AM
Journey of EV Virtualization – Challenges and TCS Solutions
Journey of EV Virtualization – Challenges and TCS Solutions
11:30 AM - 11:55 AM EDT
The presentation will take the audience into TCS’s journey of EV Virtualization initiative. The growth of Electric Vehicles (EV) is well known, and it is estimated that Passenger EVs will represent more than 50% of vehicles sold globally by 2030. There will be huge growth in components for EV & Autonomous vehicles by 2030. Global Automotive OEMs and Tier1s are investing on development of EV technologies such as Battery, Electric Drive Units, eMotors, Power Electronics, etc. There are several key challenges in development such as choosing efficient battery cell electrochemistry, enhancing battery range, power density, reduce rear earth magnets in eMotors etc. The presentation further narrates TCS’s journey on EV virtualization taking audience through various vehicle development phases such as concept development, detailed design, prototype and physical build and how Systematic & Synergistic Approach by TCS helped in faster EV Development. TCS deployed various simulation methods, techniques such as system level simulations in early development, advanced material models, high fidelity models simulating complex multi-physics to help increase virtualization of EV program. This helped TCS customer to significantly reduce several physical tests, prototypes and development time. TCS Virtualization Framework can help transform physical validations into virtual simulations to leverage power of growing digital technologies. Future of engineering relies on NextGen Technologies in simulation such as Physics based Digital Twin, AI Augmented Simulations, Simulations on Cloud etc.
11:35 AM - 12:10 PM
11:35 AM - 12:10 PM
How Leading Customers are Radically Rethinking Power Integrity Analysis and Breaking Through the Status Quo
How Leading Customers are Radically Rethinking Power Integrity Analysis and Breaking Through the Status Quo
11:35 AM - 12:10 PM EDT
Industry experts discuss power integrity challenges and best practices in designs at 7nm and below, and in 2.5D and 3D-IC packages.
11:40 AM - 12:00 PM
11:40 AM - 12:00 PM
Ammonia – a renewable fuel for zero emission mobility
Young Suk Jo
Chief Technology Officer at Amogy
Ammonia – a renewable fuel for zero emission mobility
11:40 AM - 12:00 PM EDT
While global energy transition is underway in various forms of decarbonization, there is little solution available for heavy industry & heavy-duty transportation. Amogy offers ammonia-based, emission-free, high-energy-density power solutions to decarbonize transportation for a sustainable future, accelerating the global journey towards Net Zero 2050. To date, Amogy’s scalable ammonia-powered, zero-emissions energy system has been demonstrated with success in a 5 kW drone, a 100 kW heavy-duty tractor, and a 300 kW Class 8 semi-truck. Amogy is currently retrofitting a tugboat to demonstrate the world’s first ammonia-powered vessel in summer of 2024. In this talk, Amogy's vision of decarbonization as well as technology focusing on catalyst, reactor, and system layout will be discussed.
Young Suk Jo
Chief Technology Officer at Amogy
Young is the founding CTO of Amogy, leading development of ammonia-based energy storage solution for decarbonization of heavy-duty transportation and stationary power generation. Amogy demonstrated the world-first ammonia-powered mobilities, including drone, tractor and a class 8 semi-truck. Young’s previous work covers R&D on various hydrogen storage materials, such as ammonia, methanol, formic acid, and LOHC, and development of a compact energy conversion solutions based on them. Young received his mechanical engineering PhD at MIT in 2016, with the focus on energy conversion devices.
11:40 AM - 12:00 PM
11:40 AM - 12:00 PM
In Silico Regulatory Evidence for the Digital Era
Alejandro Frangi
Bicentennial Turing Chair in Computational Medicine at The University of Manchester
In Silico Regulatory Evidence for the Digital Era
11:40 AM - 12:00 PM EDT
Novel medical technologies are being introduced at unprecedented rates, demanding scientific evidence of their safety and efficacy at an unprecedented pace to ensure patient safety and benefit. With success in both in-vitro/in-vivo studies, products are tested on clinical trials assessing use in humans. Predicting low-frequency side effects has been difficult because such side effects may not become apparent until many patients adopt the treatment. When medical devices fail at later stages, financial losses can be catastrophic. Testing on many people is costly, lengthy, and sometimes implausible (e.g., paediatric patients, rare diseases, and underrepresented or hard-to-reach ethnic groups).
Computational Medicine underpins In-silico trials (IST), i.e., computer-based trials of medical products performed on populations of digital twins (aka virtual patients). Computer models/simulations are used to conceive, develop, and assess devices with the intended clinical outcome explicitly optimised from the outset (a-priori) instead of tested on humans (a-posteriori). This will include testing for potential risks to patients (side effects) and exhaustively exploring medical device failure modes before being tested in human clinical trials. In-silico evidence is still consolidating but is poised to transform how health and life sciences R&D and regulations are conducted. UK can take a leadership position in in-silico trials, which would cement its position as a global leader in health and life sciences, help drive the UK economy and provide UK citizens with early access to innovative health products.
In this talk, I will introduce the attendees to this world of new possibilities and summarise progress made in this new paradigm among academia, industry, regulators, and policymakers. A recent landscape report would be a helpful companion to this talk: Frangi, AF, et al. Unlocking the Power of Computational Modelling and Simulation Across the Product Lifecycle in Life Sciences: A UK Landscape Report. InSilicoUK Pro-Innovation Regulations Network, 2023, doi:10.5281/zenodo.8325274.
Alejandro Frangi
Bicentennial Turing Chair in Computational Medicine at The University of Manchester
Professor Alejandro F Frangi FREng is the Bicentennial Turing Chair in Computational Medicine at the University of Manchester, Man-chester, UK, with joint appointments at the Computer Science and Health Sciences Schools. He is Director of the Christabel Pankhurst Institute on health technologies research and in-novation. He is also the Royal Academy of Engineering Chair in Emerging Technologies, with a focus on Precision Computational Medicine for in silico trials of medical devices. He is an Alan Turing Institute Fellow. He also leads the InSilicoUK Pro-Innovation Regulations Network. Professor Frangi's primary research interests lie at the crossroads of medical image analysis the Director of the Christabel Pankhurst Institute on health technologies research and inmodelling, emphasising machine learning (phenomenological models) and computational physiology (mechanistic models). He is particularly interested in statistical methods applied to population imaging and in silico clinical trials. His highly interdisciplinary work has been translated into cardiovascular, musculoskeletal and neurosciences.
11:40 AM - 12:00 PM
11:40 AM - 12:00 PM
A Multiphysics Simulation Flow for High Performance MMIC Products for 5G and RF Application
Vittorio Cuoco
Senior Principal Modeling Engineer - Multiphysics Domain at Ampleon
A Multiphysics Simulation Flow for High Performance MMIC Products for 5G and RF Application
11:40 AM - 12:00 PM EDT
Pressure on cost and performance of MMIC products for 5G and RF applications requires EM-based optimization of designs to gain competitive advantage. Moreover, the need to reduce size requires packing many components in a limited space, leading to increased temperatures. To make sure that such temperatures and the related mechanical stress levels remain under reliability limits, Multiphysics simulations are needed at system level, including chip, package, board and cooling blocks. To tackle this challenge, Ampleon engineers use Ansys tools. In more detail, Raptor X is used to simulate full MMIC designs on low-resistivity substrates, which are especially challenging to model due to the slow-wave propagation. Ansoft 3D layout is used to import the layout into Electronic Desktop (AEDT) where it is combined with board, package, and cooling blocks for system level Multiphysics simulations in AEDT/Mechanical. At this stage, engineers are not only able to optimize system designs to make sure that temperature and stress levels remain under safe limits, but also to explore different cooling options. Having EM and Multiphysics tools under the same roof with a simple interface improves efficiency, boost productivity, and enables cutting-edge designs of high-performance products and allows Ampleon to save costs gaining market competitiveness.
Vittorio Cuoco
Senior Principal Modeling Engineer - Multiphysics Domain at Ampleon
Dr. Vittorio Cuoco is Senior Principal Engineer at Ampleon, where he is responsible for Multiphysics simulations. Before, he was Principal Modeling Engineer at NXP and at Philips Semiconductors. He earned a Ph.D. at the Delft Technical University. He is (co)author of more than 20 conference papers and 15 patents.
11:40 AM - 12:00 PM
11:40 AM - 12:00 PM
Accurate Multiscale Electromagnetics System Simulation: From Chip to Vehicles
Juliano Mologni
Lead Electronics Product Manager at Ansys
Accurate Multiscale Electromagnetics System Simulation: From Chip to Vehicles
11:40 AM - 12:00 PM EDT
The automotive industry is undergoing a transformation from analog to fully digital architecture. The number of ECUs (Electronics control unit) and the electronics density is increasing more than ever due to ADAS (Advanced driver-assistance system), which includes high-speed communication and radar. Simulation plays a crucial role in order to safely design all the systems and sub-systems and ensure that safety and EMC (Electromagnetic compatibility) standards are met. Historically, simulating an entire system was not practical due to numerical challenges such as meshing the full model, computational resources and the workflow to create full automotive assemblies since vendor are not willing to provide 3D models due to intellectual property. This approach, however, compromises accuracy, and simulating the entire system is necessary especially now that we have newer technologies such as 5G and Automotive Ethernet. In this presentation a complete workflow is presented, showing how to assemble entire detailed systems such as chip-package-PCB (Print circuit board) in vehicles and use technologies such as Ansys HFSS Mesh Fusion and encrypted 3D components from tier-1 suppliers to solve the systems without compromising accuracy or violating intellectual property.
Juliano Mologni is a Lead Electronics Product Manager at Ansys. Over 20 years of experience in computational electromagnetics, author of patents and more than 60 journal and conference papers. Previous experience includes Lead Application Engineer at ESSS, Systems Engineer at Delphi Automotive and hardware engineer at WebTech Wireless.
11:45 AM - 12:10 PM
11:45 AM - 12:10 PM
Earth Rescue Episode 2
Earth Rescue Episode 2
11:45 AM - 12:10 PM EDT
New Energy Earth Rescue, an Ansys online series, reveals what visionary companies are doing today to engineer radical new ideas in the fight against climate change. In this episode, explore three amazing new ways to power our modern lives: off-shore wind platforms from X1 Wind, transporting carbon-free fuels with Baker Hughes, and carbon-free fusion energy from General Fusion.
11:45 AM - 12:05 PM
11:45 AM - 12:05 PM
The Power of Digital Twins in Orthopedic Innovation and Personalized Treatment
The Power of Digital Twins in Orthopedic Innovation and Personalized Treatment
11:45 AM - 12:05 PM EDT
Imagine a future where orthopedics are personalized to the unique anatomy of each patient and lifestyle, minimizing the risks of complications in both the short and long term. Twinsight is pioneering this revolutionary approach, harnessing the power of simulation and digital twins to offer, for both industries and surgeons, personalized and predictive insights before they even consider stepping foot into the operating room. As a first clinical use case, Twinsight develops SurgiTwin to address total knee replacement, that suffer for insufficient clinical success. This surgery is currently supported by the precision of surgical tools, robots or AR but is missing the accuracy of the personalization of the treatment. Using SurgiTwin, the 3D Motion Digital Twin enables surgeons to observe kinematics and evaluate personalized strategies for each individual patient. Pending FDA and CE approvals, Twinsight platform solution can be used for segmentation, landmarking, metrics, biomechanical in silico trials.
11:50 AM - 12:15 PM
11:50 AM - 12:15 PM
5G Communications Digital Beamformer (DBF) Digital Engineering Reference Architecture
5G Communications Digital Beamformer (DBF) Digital Engineering Reference Architecture
11:50 AM - 12:15 PM EDT
Application of the Digital Engineering processes to build a 5G reference architecture rooted in multi-physics analysis. This executable framework enables customer domain experts to contribute to the system construction in their tool of choice as the system matures from ideation, design implementation through Preliminary, Intermediary, and Critical Design Reviews, and into system construction. The exemplar 5G system connects the stakeholder requirements through a design reference mission to the underlying microelectronics (ME) hardware and then through continuous iteration improves the hardware representations with detailed multi-physics and software/hardware co-simulation. This methodology demonstrates how technical requirements may be managed and distributed throughout the design process, connecting them to domain experts and software analysis, to be rapidly iterated and re-iterated to optimize system performance.
11:55 AM - 12:15 PM
11:55 AM - 12:15 PM
Open Architecture for Collaborative Prototype Development
Open Architecture for Collaborative Prototype Development
11:55 AM - 12:15 PM EDT
Avionics products , both hardware and software, were traditionally built by a single company. This was both expensive and time consuming. Now, using standard, open system architecture new products can be built rapidly by leveraging components from multiple suppliers.
11:55 AM - 12:20 PM
11:55 AM - 12:20 PM
The SDV Software Factory: A Case Study
The SDV Software Factory: A Case Study
11:55 AM - 12:20 PM EDT
How can OEMs utilize the Software-defined Vehicle (SDV) to create a leading-edge vehicle experience? And how can simulation help to shift usability and architecture validation up-stream, helping to significantly reduce down-stream costs and risks? This presentation is based on a concrete case study, providing real-world insights.
12:00 PM - 12:20 PM
12:00 PM - 12:20 PM
Addressing Antenna Deployment Challenges and Unlocking Opportunities with Simulation
Laila Salman
Principal Technical Specialist at Ansys
Addressing Antenna Deployment Challenges and Unlocking Opportunities with Simulation
12:00 PM - 12:20 PM EDT
In the era of connected vehicles, connecting information via high-speed wireless network infrastructure so data can be analyzed and shared could very well drive the future of autonomous vehicles and improve road safety and efficiency. Several factors must be considered to reach high levels of autonomy, including advanced sensor technology, precise determinization of vehicle location, up-to-date mapping information, local perception of other vehicles and pedestrians, and planning and decision making. Many conversations need to happen between an autonomous vehicle (AV) and other elements within a self-driving ecosystem, enabled by vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), vehicle-to-network (V2N), vehicle-to-people (V2P), and vehicle-to-everything (V2X) smart technologies to ensure safety. All these smart technologies rely on consistent low latency connectivity to expand perception beyond what is directly in front of the vehicle. This is especially true in dense 5G-and-beyond telecommunication environments of the future, where a lot of information can be exchanged. The advent of autonomous vehicles will drive the need for multiple sensors, spanning microwave and millimeter wave radar, as well as visible and infra-red spectra. ADAS and Autonomous vehicle systems are likely to require at least 6 radar systems to monitor traffic and to perform safety functions to ensure the safety of the passengers. These safety systems will be effective and efficient, giving autonomous and human-drive vehicles instantaneous reflexes to react to sudden and unanticipated dangers and to take evasive action. In addition, radar sensors are likely to have a significantly higher degree of functionality, with ability to image the road scene, detect and track objects and obstructions, and to locate safe paths through unfolding hazards. In addition, these radars will be able to monitor road conditions—even locating and reporting potholes and debris on the road. While hardware testing is valuable during the sensor design stage, simulation becomes even more valuable when validating and testing radar sensor performance in the real world. Specifically, radar engineers need to be sure that the radar sensors will accurately sense the environment and provide consistent information to the vehicle’s perception algorithms. Failure to do this can severely compromise the safety of fully autonomous vehicles. Ansys has developed an efficient simulation workflow to model complex radar scenarios in real time using an electromagnetic simulation technique based on the shooting and bouncing rays (SBR) method. This solver is based on the same SBR solver found within Ansys HFSS and has been graphics processing (GPU)-unit accelerated to perform simulation in real time. Simulation will be a key enabler in optimizing these new, connected experiences, not only for autonomy, but also for any critical vehicle subsystem like battery management systems. Simulation is one of the strongest tools in collecting synthetic data. In addition to its ability to virtually replicate and test countless conditions, simulation can generate large quantities of synthetic data that cover a wide range of scenarios, including instances that are rare, difficult, or dangerous to observe in the real world. This can help improve the performance and generalizability of AI/ML-based radar perception models by informing the data with more specific and unique circumstances.
Dr. Laila Salman received the B.S. and M.S. degrees in electronics and communication engineering from Cairo University, Giza, Egypt, in 2003 and 2005, respectively, and the PhD. Degree in electromagnetics and antenna design from the University of Mississippi, MS, USA in 2009. She also worked as a post-doctoral student at the Université de Quebec en Outaouais, Gatineau, QC, Canada till 2010. Her research was on dielectric resonator antennas, wearable antennas, microwave and millimeter-wave circuits and systems, microwave imaging for early detection of breast cancer and scattering from left-handed metamaterials. Dr. Salman joined Ansys Canada Ltd. In August 2010 as a Principal Technical Services Specialist for High Frequency Electromagnetics. Her current expertise is mainly in high frequency RF microwave applications, antenna design, 5G & millimeter wave applications, Automotive Radar, and IoT Applications
12:00 PM - 12:20 PM
12:00 PM - 12:20 PM
Novamera’s Surgical Mining Technologies- a new way to mine smarter, faster, and more sustainably
Theresa Quick
VP Marketing at Novamera
Parinaz Naseri
Senior Antenna & Hardware Design Engineer at Novamera
Novamera’s Surgical Mining Technologies- a new way to mine smarter, faster, and more sustainably
12:00 PM - 12:20 PM EDT
To support the move towards electrification, the world needs a significant volume of critical metals and minerals-quickly. It’s estimated that we are currently facing a 14.6B tonne supply gap for just one generation of technology to phase out fossil fuels. Novamera has developed a suite of surgical mining technologies to access and extract minerals while minimizing environmental and social impact. The transformative method can unlock over $6T in smaller narrow vein deposits that have previously been uneconomic or inaccessible to mine using traditional underground or open-pit mining methods. Requiring only a small footprint, modular and mobile, the entire solution integrates with conventional drilling equipment to precisely identify, navigate and extract high-value deposits (of all kinds)- producing ~95% less waste, and ~44% GHG Emissions, at a fraction of the cost of conventional mining.
An essential part of the ability to do Surgical Mining is the proprietary Guidance Tool that identified the orebody in real-time. The innovative tool generates 4900% sub-service data than conventional cross-cutting holes. Novamera uses the simulation tools provided by Ansys to develop and anticipate various environmental factors the tool will encounter in extreme and remote mining locations.
Theresa Quick
VP Marketing at Novamera
Theresa has over 15 years' experience in the marketing and product development. Before joining Novamera and entering the mining industry, Theresa specialized in supporting emerging technologies find product/market fits and effective go-to-market strategies. Theresa holds a Bachelor of Business Administration from the Schulich School of Business, a Publicity and PR/ Certificate at Rotman from the University of Toronto, Marketing Analytics Certificate from Berkeley and most recently a professional certificate in Sustainable Mining from the University of Queensland.
12:00 PM - 12:20 PM
12:00 PM - 12:20 PM
Using Predictive Engineering to power full-lifecycle Product Development
Eric Corndorf
VP R&D Advanced Surgical Technologies at Medtronic, Plc
Using Predictive Engineering to power full-lifecycle Product Development
12:00 PM - 12:20 PM EDT
Predictive engineering is an investment that can be difficult to justify early in a development program, but is rarely regretted late in a development program. In this talk we will step through both a) the compelling role that Predictive Engineering can play in all lifecycle phases of a development program, and b) the unique role that every member of an engineering/management team can play in sponsoring Predictive Engineering.
Eric Corndorf
VP R&D Advanced Surgical Technologies at Medtronic, Plc
Eric Corndorf is the VP of R&D for Advanced Surgical Technologies at Medtronic, Plc. In his 18-year career at Medtronic Eric has focused on product development and served many therapy spaces including cardiac rhythm, heart failure, neuroscience, robotics, and surgery. Eric holds a PhD in electrical engineering from Northwestern University and a BSEE from the University of Michigan. Eric sits on the board of directors of the Science Mill – a not-for-profit science museum in Texas that serves underrepresented communities. Eric lives in Minneapolis with his two kids and remarkably talented wife.
12:00 PM - 12:20 PM
12:00 PM - 12:20 PM
Enabling personalized care with digital twins
Jan Hertwig
CEO at Simq GmbH
Enabling personalized care with digital twins
12:00 PM - 12:20 PM EDT
Personalized medicine is poised to transform patient outcomes by moving away from a one-size-fits-all approach to treatment and toward customized medical solutions. Especially in the area of medical devices there are limited options for choice and adoption to unique patients needs. At the heart of this shift is the use of digital twins, virtual models that reflect the unique physiological characteristics of individual patients. This innovative approach allows healthcare providers to simulate and evaluate different treatment scenarios, optimizing patient-specific strategies prior to intervention. Simq is at the forefront of this revolution, using advanced biomechanical simulation and in silico technologies to create accurate patient-specific digital twins. Their platform, powered by pyAnsys, seamlessly integrates with the healthcare industry's existing frameworks and daily workflows, facilitating the widespread adoption of personalized medicine. By democratizing access to simulation technologies, Simq empowers medical professionals to design and implement personalized care plans for each patient with greater precision and efficiency. The adoption of digital twins in healthcare marks a significant paradigm shift toward more informed, individualized, and effective medical treatments, setting a new standard for patient care and medical innovation.
As a dedicated advocate for computational modeling in medicine, I aim to enhance product safety and medical therapies through computer simulations. As a representative of DIN and ISO, I champion the use of simulation in patient-specific implants and medical device approval processes.
12:10 PM - 12:35 PM
12:10 PM - 12:35 PM
Using Ansys’ Power Signoff Solution for European Supercomputer chip
Using Ansys’ Power Signoff Solution for European Supercomputer chip
12:10 PM - 12:35 PM EDT
Security, AI, climate, health… supercomputers are essential to solve strategic scientific, industrial and societal challenges for Europe. But Europe is behind the curve in terms of supercomputing equipment. For example, 0% of the microprocessors powering Europe supercomputers are European. This lack of sovereign technology has serious implications on Europe security, intellectual property and competitiveness.
To tackle this problem, the European Union has launched two initiatives:
- The EuroHPC JU to deploy a world class exascale(1) supercomputing infrastructure in Europe,
- The European Processor Initiative (EPI) project to design a European low-power microprocessor for exascale supercomputing.
These initiatives work well.
- 5 years after the launch of the EuroHPC JU, Europe ranks 133 supercomputers in the Top500 of the most powerful supercomputers worldwide instead of 97 before. 2 of them are in the global Top4.
- SiPearl is the private company born inside EPI to industrialize the low-power European microprocessor for exascale supercomputing.
As supercomputers are using lots of energy - roughly 15MW per machine per year -, the energy-efficiency is a key factor of differentiation for SiPearl first generation microprocessor Rhea. Based on high performance, power efficient Arm® Neoverse V1 platform, Rhea will be the world’s first HPC-dedicated microprocessor designed to work with any third-party accelerator (GPUs, artificial intelligence specialized chips or quantum accelerators). Moreover, it will cut power consumption by 2 for equivalent computing power.
To meet this aggressive low-power goal, SiPearl selected the best-in-class Ansys Redhawk-SC Multiphysics simulation platform for Rhea’s design and implementation phases.
Thus, Rhea will contribute to meet strategic challenges for Europe in medical research, artificial intelligence, security, energy management, climate, engineering while dramatically reducing the environmental footprint of supercomputing.
12:10 PM - 12:40 PM
12:10 PM - 12:40 PM
Novel CAD Methodology for IR Drop and Reliability Verification of Stacked Dies (3D-IC)
Novel CAD Methodology for IR Drop and Reliability Verification of Stacked Dies (3D-IC)
12:10 PM - 12:40 PM EDT
As Stacked Die usage continues to grow, a robust CAD solution around vendor EMIR tools is needed for quick and efficient sign-off. A Flow around the vendor tool needs to account for # number of dies and succinctly pinpoint and summarize problem areas in a 3D stack that cannot be found in single-die runs.
12:10 PM - 12:35 PM
12:10 PM - 12:35 PM
Earth Rescue Episode 3
Earth Rescue Episode 3
12:10 PM - 12:35 PM EDT
Mobility Earth Rescue, an Ansys online series, reveals what visionary companies are doing today to engineer radical new ideas in the fight against climate change. From manufacturing to entertainment, virtually everything we do runs on power. In this episode, see how new energy pioneers Quaise Energy and Amber Kinetics are powering our lives more sustainably.
12:15 PM - 12:40 PM
12:15 PM - 12:40 PM
Autonomous Systems in Aerospace & Defense - Empowering Innovation through Advanced Simulation
Autonomous Systems in Aerospace & Defense - Empowering Innovation through Advanced Simulation
12:15 PM - 12:40 PM EDT
In the realm of Aerospace & Defense, the arrival of autonomous systems announces a new era of complexity and innovation. Ansys provides a suite of advanced simulation tools that address this complexity head-on, enabling industry professionals to forge ahead with confidence in three critical areas: Performance, Safety and Reliability, and Time & Cost Efficiency. Our presentation will showcase how Ansys leverages full-physics sensor simulations to drive unmatched accuracy in performance. It will also highlight our real-time simulation capabilities, born from our in-depth physics models, which are instrumental in the rapid development of reliable autonomous systems. Safety and reliability are paramount in A&D; Ansys's rigorous safety analysis and accurate component level simulations are designed to uphold the highest standards of operational security and longevity. These protocols are essential in an industry where precision is vital, and errors have significant consequences. We will also demonstrate how Ansys reduces time to market and development costs through automated optimization and digital twin technology—key factors that not only enhance ROI but also provide a competitive edge in a swiftly evolving landscape. Join us to explore how Ansys is empowering the future of Aerospace & Defense, elevating innovation, and redefining what's possible in the skies and beyond.
12:20 PM - 12:45 PM
12:20 PM - 12:45 PM
Full Stack ADAS/AD Software Validation through Physics-Based Sensor Simulation - How to Narrow the Gap between Virtual and Real Environment Tests
Full Stack ADAS/AD Software Validation through Physics-Based Sensor Simulation - How to Narrow the Gap between Virtual and Real Environment Tests
12:20 PM - 12:45 PM EDT
In the rapidly evolving landscape of autonomous vehicles (AVs), the shift towards higher levels of automation (Level 3 and 4) presents a myriad of challenges and opportunities. The expansion of the operational design domain (ODD) requires innovative solutions for safety verification, testing, and validation. The presentation will demonstrate how accurate sensor simulation, grounded in physics, plays a pivotal role in addressing the evolving needs of the industry.
12:20 PM - 12:40 PM
12:20 PM - 12:40 PM
The Role of Modeling & Simulation in Philips
Ger Janssen
Principal Data & AI Scientist, Head of Data Management, Computational Modeling & Responsible AI at Philips
The Role of Modeling & Simulation in Philips
12:20 PM - 12:40 PM EDT
Philips is a leading HealthTech company providing solutions in the Professional Healthcare and Personal Health area, with a very diverse portfolio of solutions. As a consequence, a broad range of (coupled) physics domains needs to be covered in the development processes. In Philips we use computational modeling & simulation in our Virtual Design & Test activities to accelerate product development, while at the same time achieve improved designs for optimal performance and reliability. Various real-life examples are explained. Apart from product development, computational modeling also plays a role in the digital twin area, for operational and clinical applications. The concept of digital twin is explained, with examples of digital twin in the operational and clinical spaces. Finally, hybrid modeling, which is the combination of computational modeling with AI and which is crucial for the future, is being discussed and shown.
Ger Janssen
Principal Data & AI Scientist, Head of Data Management, Computational Modeling & Responsible AI at Philips
Ger Janssen has a PhD in Applied Physics from Eindhoven University of Technology in the Netherlands. He joined Philips in 2001 in the computational modeling domain, and later started to focus also on AI and hybrid intelligence, combining AI with computational modeling. He was head of the AI, Data Science & Digital Twin department in Philips Research and currently Principal Scientist Data & AI and lead of Data Management, Computational Modeling and Responsible AI supporting Philips businesses in bringing new innovative solutions to the market.
12:20 PM - 12:40 PM
12:20 PM - 12:40 PM
Wireless Channel Modeling for Dynamic Terrestrial Environments
Shawn Carpenter
Program Director, 5G & Space at Ansys
Nate McBee
Senior Manager Product Management at Ansys
Wireless Channel Modeling for Dynamic Terrestrial Environments
12:20 PM - 12:40 PM EDT
As wireless systems become complex and reach for more spectrum, RF engineers must rely on high-fidelity simulation solutions to model and test their proposed new networks effectively. We offer tools to address these challenges and enable network architects and mission planners to digitally model and simulate dynamic wireless networks within an accurate systems simulation environment. Leveraging solutions for electromagnetic wave propagation, electronically steered antenna design tools, and a digital mission simulation, engineers can rapidly deploy models and execute them within a high-fidelity, physics-accurate digital testing environment. Engineers will understand the impacts of terrain, urban landscapes, and the dynamic kinematic motions across any number of simulated scenarios needed to test anticipated wireless network performance against design requirements thoroughly. Ansys is combining these industry-leading modeling and simulation tools to provide a workflow-driven solution to these unique needs and challenges. Join us to learn more about the new Ansys RF Channel Modeler and how it can help you and your organization leverage digital modeling and simulation tools like never before.
Shawn Carpenter received his BEE degree in electrical engineering from the University of Minnesota Institute of Technology in 1988, and an MSEE in Electrical Engineering from Syracuse University in 1991 concurrently with the General Electric Thomas Edison Advanced Course in Engineering program. He has served as a Senior Microwave Engineer in Module Design and Array Technology for the GE Aerospace Electronics Laboratory (Syracuse, NY), VP Sales and Marketing for Sonnet Software, Inc., and Director, Sales & Marketing for Delcross Technologies. Shawn joined Ansys Inc. during the 2015 acquisition of Delcross Technologies and is currently a Program Director for 5G and Space applications. His current interests include phased array modeling techniques for MIMO and adaptive beamforming, installed antenna-host interactions, mm-wave radar sensor modeling and wireless physical channel modeling for electrically large environments. He is also an active amateur radio (ham) operator with callsign N2JET, embracing a hobby he adopted at age 11.
12:20 PM - 12:40 PM
12:20 PM - 12:40 PM
ARPA-E History, Mission, Digital Technology and Vision for the Future
Christian Vandervort, PhD, PE
Technology-to-Market Advisor at DOE ARPA-A
ARPA-E History, Mission, Digital Technology and Vision for the Future
12:20 PM - 12:40 PM EDT
DOE ARPA-E’s enabling legislation was included in the 2007 America COMPETES Act. In 2009 ARPA-E received its first appropriations of $400 million. The team was charged with ensuring the U.S, maintains a technical lead in developing and deploying advanced energy technologies. ARPA-E’s mandate includes five core energy-related pillars:
1) reduce imports,
2) improve efficiency,
3) reduce emissions,
4) improving the management, clean-up and disposal of radioactive waste and spent nuclear fuel, and
5) improve the resilience, reliability, and security of energy infrastructure.
ARPA-E is or has funded programs across the entire spectrum of energy and climate science. Typical ARPA-E programs are approximately 4 years with average, total budgets of $40-50M. Technology initiatives are defined and developed by our ARPA-E Program Directors. A program will fund 12 – 16 performer teams chosen through the standard, competitive federal funding proposal process. Successful projects are eligible to propose for next-stage funding under the ARPA-E SCALEUP program. In parallel, our performer teams are encouraged to pursue follow-on funding from the investor community and other governmental agencies. There is potential for DOE Office of Clean Energy Demonstrations (OCED) and Loan Programs Office (LPO). ARPA-E recognizes the value of digital engineering. We routinely require engineering analysis and physics-based modeling as compliments to experimental discovery for our projects. Insight provided by the modeling is vitally important to understanding results and defining next steps.
We encourage continued investment and advancement of digital technology to address key topics for infrastructure construction and development. Next generation digital engineering tools are necessary to improve our nation’s infrastructure with applications including electrical grid expansion, new pipelines for carbon dioxide
Christian Vandervort, PhD, PE
Technology-to-Market Advisor at DOE ARPA-A
Dr. Christian Vandervort is as a Technology-to-Market Advisor at the Advanced Research Projects Agency – Energy (ARPA-E). He champions commercialization of technologies in the fields of carbon capture and sequestration, high temperature alloys and coatings, fuel cells, nuclear fission, and gas turbines. Prior to joining ARPA-E, Chris served with General Electric for 29 years with roles at GE Power and GE Global Research Center (GRC). At GE Power, he was Product Manager for the 9HA.02 Gas Turbine and Combined Cycle Power Plant. In this role, he focused on product development, introduction, manufacturing, and sales. The system was successfully introduced with multiple, major power generation projects spanning six countries across two continents. Chris rejoined GE Power & Water in 2013 following 10 years at GE’s Global Research (GEGR) Center. As Technology Leader - Combustion Systems, his team performed Research and Development in support of key initiatives across multiple businesses in the transportation, power, and aviation sectors. Prior to his move to GRC, Chris held leadership positions in several design engineering departments, including Hydro, Steam Turbine, Generator, and Gas Turbine Combustion Engineering. Chris completed Nuclear Plant Engineer qualification with the Knolls Atomic Power Laboratory nuclear plant operations program. He participated in operations and training at a Naval Nuclear Submarine Prototype. Chris received his Ph.D. in Mechanical Engineering from Rensselaer Polytechnic Institute, M.S. in Nuclear Engineering, and B.S. in Nuclear Engineering & Mathematics at the University of Wisconsin-Madison. Chris has been awarded 38 patents, authored numerous technical publications, and delivered multiple technical presentations.
12:20 PM - 12:40 PM
12:20 PM - 12:40 PM
The tool certification process of Ansys RedHawk-SC Electrothermal: another successful collaboration with Ansys
Ki Wook Jung
Staff Engineer at Samsung Electronics
The tool certification process of Ansys RedHawk-SC Electrothermal: another successful collaboration with Ansys
12:20 PM - 12:40 PM EDT
Many global leading semiconductor companies are developing heterogeneous 2.5D/3D IC multi-die systems and the Samsung Electronics is one of them. A range of 2.5D packaging options (I-Cube and H-cube) as well as 3D vertical stacking with X-cube technology have been introduced by Samsung since 2020. However, the dense integration of multiple chips creates a major challenge in heat dissipation. For the better thermal management solutions for these systems, accurate prediction of thermal behavior is a must to SoC designers. Therefore, Samsung has been collaborating with Ansys to certify RedHawk-SC Electrothermal to accurately predict thermal performance of the multi-die systems. The predictive accuracy of RedHawk-SC Electrothermal has been validated with Ansys' Icepak solution for thermal analysis of electronic assemblies - Including forced-air cooling and heat sinks. Less than 10% discrepancy rate between two thermal simulation tools has been recognized in steady-state as well as transient thermal simulation results. The next step will be validating the prediction accuracy of RedHawk SC Electrothermal with a set of experimental data from a 3D IC test vehicle.
Ki Wook Jung
Staff Engineer at Samsung Electronics
Dr. Ki Wook Jung graduated in 2020 with his Ph.D. in Mechanical Engineering at Stanford. He has a strong background in MEMS fabrication techniques, and embedded cooling solutions for high-power density electronics. He is currently working on developing thermal-aware design methodology for 2.5D/3D IC multi-die systems at Samsung Foundry Business.
12:20 PM - 12:40 PM
12:20 PM - 12:40 PM
Digital Engineering for NASA Science Missions
David Richardson
Astrophysics Line of Business Manager at NASA Goddard
Digital Engineering for NASA Science Missions
12:20 PM - 12:40 PM EDT
NASA has a competitive process for robotic science missions, that has clearly defined deliverables that describe the mission concept. One artifact required in the proposal process is a Science Traceability Matrix (STM) – a snapshot of the Science Mission Goals, traced to Mission and Payload Operations capability and requirements. Using modern Systems Engineering Tools, the Science Mission System Architecture can be captured in a robust system model, that links system structure, behaviors and requirements.
This approach enables a more informed approach to System Architecture Development and Analysis. This discussion highlights Mission Requirements Traceability from Science Need to Engineering Description.
It demonstrates that a properly constructed Mission System Model captures the complexities of the Mission System Architecture, and illustrates that the STM is a relevant system architecture artifact that describes the underlying connectivity of the mission and payload architecture.
David Richardson
Astrophysics Line of Business Manager at NASA Goddard
Dave Richardson is currently serving as the Astrophysics Line of Business Manager for the Goddard Space Flight Center. Much of his academic career focused on modeling and simulation – with a focus on Energy Systems and their optimization. After receiving mechanical engineering degrees from the University of Rhode Island, Marquette University and the University of Maryland at College Part, Dave joined GSFC in 2006. Dave started his career at GSFC in the Facilities Management Division, performing roles for project planning, project design and construction, and program management. Dave learned a broader view of the Agency as an analyst in the Space Technology Mission Directorate, in 2012, where he contributed to the NASA Strategic Plan and captured the strategic alignment of the STMD technology development portfolio within the context of the Agency's overall strategy. In 2016, while in the Instrument and Payload Systems Engineering Branch, Dave began to focus on improvements to the Engineering Process through digital means and methods, specifically Model Based Systems Engineering. This focus, applied to science missions prepared him for his current role, where early lifecycle development of Astrophysics Mission Concept is working to establish a proper ‘digital footing’ for a science investigation from the beginning.
12:25 PM - 12:50 PM
12:25 PM - 12:50 PM
Enabling Medical Digital Twin through Advanced Mesh Morphing and High-Fidelity Patient-Specific Simulations
Enabling Medical Digital Twin through Advanced Mesh Morphing and High-Fidelity Patient-Specific Simulations
12:25 PM - 12:50 PM EDT
The in-silico approach is today well-established in healthcare applications but there is still a need for tools to integrate it into daily clinical use making the medical digital twin (MDT) easily available and manageable by the medical staff. A potential pathway to enable MDTs involves the extensive use of upfront HPC simulations to make high-fidelity results accessible in real time. The adopted strategy involves conducting a comprehensive scan of variations (hundreds, thousands), compressing the results using SVD and POD, correlating input parameters with the obtained ROM through AI and ML, and subsequently engaging in real-time interaction. These variations could pertain to the patient and/or to the treatment. In this context, advanced mesh morphing based on Radial Basis Functions has been applied in two experiments of the EC project FF4EuroHPC. The first one, known as DiTAiD, involves the development of a parametric model of the human airways which can be swiftly adapted to a specific patient, facilitating the decision-making process for the most suitable treatment. The second one, named Copernicus, focuses on defining a virtual surgery for a cyanotic infant who is to undergo the Modified Blalock-Taussig Shunt procedure.
12:35 PM - 01:05 PM
12:35 PM - 01:05 PM
Earth Rescue Episode 4
Earth Rescue Episode 4
12:35 PM - 01:05 PM EDT
Clean Up Earth Rescue, an Ansys online series, reveals what visionary companies are doing today to engineer radical new ideas in the fight against climate change. From removing space debris to sucking carbon out of the atmosphere to turning garbage into eco-friendly fuel, see how Astroscale, Climeworks, and Enerkem are helping clean up the Earth.
12:35 PM - 01:00 PM
12:35 PM - 01:00 PM
Chiplets – How does EDA Eco System Need To Evolve?
Chiplets – How does EDA Eco System Need To Evolve?
12:35 PM - 01:00 PM EDT
With today’s increasingly complex 2.5 and 3D designs, Chiplets offer cost, speed, and integration advantages when compared to monolithic chip solutions. A robust EDA toolset, die-to-die IP, and an ecosystem build out are all critical to achieving product-focused, scalable, and future proof products.
12:40 PM - 01:00 PM
12:40 PM - 01:00 PM
SigmaDVD: the solution to the transient coverage problem
Chip Stratakos
Partner, Silicon Design at Microsoft
SigmaDVD: the solution to the transient coverage problem
12:40 PM - 01:00 PM EDT
Technology scaling tends to increase power density and metal impedance, making it increasingly difficult to confidently sign off power integrity while meeting PPA and schedule requirements. Ensuring high confidence power integrity in large state of the art designs requires new approaches to traditional static and dynamic IR drop analyses. This presentation introduces a methodology that leverages the revolutionary SigmaDVD technology to enable IR prevention (shift left), power noise analysis with excellent coverage, and efficient design closure with optimized PPA.
Chip Stratakos
Partner, Silicon Design at Microsoft
Chip leads the Physical Design team for the AI custom silicon products at Microsoft. He started his career at Intel and also worked at Broadcom and Google. He holds a BSEE from Stanford.
12:40 PM - 01:00 PM
12:40 PM - 01:00 PM
Developing Better Space Payloads for Hyperspectral Missions
David Miller
Mechanical Design Lead at Wyvern
Developing Better Space Payloads for Hyperspectral Missions
12:40 PM - 01:00 PM EDT
Canadian space data company Wyvern was created to provide hyperspectral data that will enable a sustainable future for humanity. Unlike regular RGB cameras, hyperspectral cameras capture and disperse light into many, many narrow spectral bands. Plants, minerals, and objects on the surface of the earth have spectral signatures that hyperspectral cameras can detect. Previously only accessible to big-budget organizations, Wyvern is bringing low-cost, high-quality, hyperspectral imagery to industries that could not access it at scale. On the path to this, Wyvern uses a suite of Ansys products to design its payloads and plan its missions. Structural, Thermal, and Optical Performance (STOP) analysis is at the core of Wyvern’s deployable optics technology development. Wyvern uses STOP to evaluate the performance of its missions and payloads in optical performance metrics, which is all made possible by the interconnectivity of Ansys products.
David Miller
Mechanical Design Lead at Wyvern
David holds a Master's degree in Mechanical Engineering from the University of Alberta. He has 7 years of experience in design and innovation. At Wyvern, he is developing key technologies for deployable optics in Wyvern’s hyperspectral earth observation constellation.
12:40 PM - 01:00 PM
12:40 PM - 01:00 PM
In Silico technologies is paving the way innovation is introduced in the healthcare markets
Martha De Cunha Maluf-Burgman
Director Regulatory Affairs - Digital Health at Edwards Lifesciences
In Silico technologies is paving the way innovation is introduced in the healthcare markets
12:40 PM - 01:00 PM EDT
In Silico technologies is paving the way innovation is introduced in the healthcare markets.
Medtech companies are relying their innovative developments on the outcomes of computational simulations. Still credibility for performance and effectiveness is needed to be addressed first at high level, and later at R&D scopes.
How to go to the market with digital (in silico) evidence? What is needed to show credibility? How to address the ethical considerations and much more questions to be answered.
Martha De Cunha Maluf-Burgman
Director Regulatory Affairs - Digital Health at Edwards Lifesciences
Mechanical Engineer with B. Political Sciences, MBAs in International Relations and Marketing Management (SUNY-USAL), and post-grade in (Tele) Communications Regulations. Brings over 28 years of experience in Telecommunications and Radio Spectrum Regulations, International, Institutional and Governmental affairs, Satellite regulations, and advocacy on Radiocommunications and wireless technologies, Telemedicine, eHealth, Artificial Intelligence, Interoperability and Cybersecurity, and In Silico technologies. With vast experience in ETSI (including SIG Securing AI), Bluetooth SIG, IEEE PHD Cybersecurity WG, AAMI, ENISA, etc. On top of official job, she is also innovator and inventor. In previous job at Medtronic, formed and led a CoE of Radio Frequency Certification serving many business units and led the EMEA Digital Health Policy WG, was member of the R&D Council’s (AI WG) and the Telecommunications Council and was Advisor of the CISO and Product Security WG. I also collaborated with Core Technologies in the advocacy efforts on In Silico technologies via Avicenna Alliance. Since 2019 until end-2021 I has co-chaired MedTech Europe (MTE) Digital Health Committee actively participating in the AI, Data and Interoperability working groups, and since March 2021 has chaired its Cybersecurity WG, which has brought MTE members to learn and share information about cybersecurity regulatory challenges, standards, and good practices. In my role as Chair of CWG, I also have represented MTE in the European Commission’s Task Force for the drafting of the MDCG 2019-16 Guidance on Cybersecurity for Medical Devices and represented MTE in ENISA’s eHealth Security Experts Group. Joined Edwards Lifesciences in January 2022 as Director Regulatory Affairs Manager for EMEACLA, serving as strategic advisor, with focus on its Critical Care business unit, and also advising THV, TMTT, Advance Technologies, the Computer Modelling & Simulation Team, and the Corporate Data Management organisation. Liaises with R&D, CISO & InfoSec on specific on cybersecurity regulations and standards and is member of the Corporate Regulatory Intelligence Council and the PAOW project as subject matter expert on digital health. In partnership with Edwards’ CM&S Team, promotes internally the development and incorporation of in-silico clinical trials and digital twins.
Edwards representative in MedTech Europe, participating actively in its Digital Health Committee: Data Governance (as Co-Chair), Interoperability, AI and Cybersecurity WGs (re-elected as Chair); MedTech Canada; AdvaMed Cybersecurity WG. Martha also achieved the goal of making Edwards an active Avicenna Alliance member by collaborating actively in different Working Groups and their deliverables. Martha is currently the Leader of Avicenna Alliance’s Policy Development Working Group.
12:40 PM - 01:00 PM
12:40 PM - 01:00 PM
Accelerating a sustainable future in automotive through simulation
Judy Curran
Sr. Chief Technologist Automotive at Ansys
Accelerating a sustainable future in automotive through simulation
12:40 PM - 01:00 PM EDT
Sustainability related topics like weight reduction, fuel economy improvements, and using safe and regulated materials, have always been a significant part of the vehicle development process. These challenges have become yet more important with road transportation accounting for almost one-fifth of the carbon dioxide (CO2) released into the environment. Automakers today face a huge challenge when it comes to their role in climate change, and they are sharing pledges and goals such as: percentage of EVs to be produced, zero carbon footprint achievements by a certain year, increased use of recyclable and sustainable materials, and many more declarations.
The goal of reducing emissions applies to all components in the vehicle especially the ever-growing amount of vehicle electronics that is being added. From the efficiency of the electrical architecture to the efficiency of the electric powertrain itself, to the slew of sensors added for the latest ADAS features, every system must be optimized.
Optimization includes selection of carbon neutral materials, design of efficient engineering processes that reduce prototype waste, design of components for recyclability, design for reusability across many vehicles, and many other optimization concepts.
Change may not come fast enough.
However, with the help of advanced technologies like simulation, the process toward a sustainable future can accelerate. In our presentation, we will use real-life examples from the automotive industry to show how simulation helps to master these sustainability challenges.
Judy Curran
Sr. Chief Technologist Automotive at Ansys
Judy is an accomplished senior automotive executive with over 30 years of experience in automotive/mobility engineering, and technology leadership. She currently is the Chief Technologist Automotive at Ansys: partnering with OEMs and suppliers in their digital transformation. She is also an independent corporate board director at FORVIA, and MicroVision providing guidance on the automotive industry, and key technologies.
12:40 PM - 01:05 PM
12:40 PM - 01:05 PM
Automotive NVH Analysis using Ansys Multiphysics Offering
Automotive NVH Analysis using Ansys Multiphysics Offering
12:40 PM - 01:05 PM EDT
Vehicle noise and vibration impact customer satisfaction, comfort and purchasing decisions. Resolving these challenges requires expertise and is time-consuming. Simulation software, like Ansys, is essential for efficiently analyzing complex Multiphysics applications
12:45 PM - 01:10 PM
12:45 PM - 01:10 PM
Ansys Partner Ecosystem Intro for ADAS/AD Application with MORAI's Scenario-based Safety Evaluation and SOTIF Readiness with Advanced Autonomous Simulation
Ansys Partner Ecosystem Intro for ADAS/AD Application with MORAI's Scenario-based Safety Evaluation and SOTIF Readiness with Advanced Autonomous Simulation
12:45 PM - 01:10 PM EDT
MORAI is a leading South Korean tech company specializing in simulation platform for verifying and validating the safety of unmanned mobility systems. Digital Twin based simulation platform is designed to accelerate adoption of autonomous vehicles, urban air mobility (UAM), maritime autonomous surface ships (MASS), autonomous robotics and offroad applications. MORAI toolchain provides large-scale Digital Twin environment, customized dynamics, various test scenarios, synthetic dataset per sensor, mobility monitoring system and much more. MORAI's simulation platform is trusted by over 150 clients, spanning diverse industries, academia and the government entities in the world.
12:50 PM - 01:10 PM
12:50 PM - 01:10 PM
Toward a Digital Twin of the Digestive System, the Central Role of the Stomach
Toward a Digital Twin of the Digestive System, the Central Role of the Stomach
12:50 PM - 01:10 PM EDT
Food digestion is important for human health. Advances have been made through in vivo human and animal studies and in vitro experiments to study food digestion. However, there is considerable potential for numerical approaches in stomach modelling, as they can provide a comprehensive understanding of the complex flow and chemistry in the stomach. Rigorous verification and validation are essential as part of model development. We will present validation and verification studies on the digestion system, focusing on gastric functions of the stomach and the intestine system and discuss the relationship between the acid diffusion process and fluid mixing behaviour in the stomach. Ultimately the advancement of modelling of gastric food digestion aims to not only provide insights into diet selection and optimize drug delivery methods, but also streamline the development of food products that are beneficial to human health.
01:00 PM - 01:20 PM
01:00 PM - 01:20 PM
Computational Modeling and Simulation in the Regulated Medical Device Industry
Jeffrey E. Bischoff, PhD
Senior Research Director at Zimmer Biomet
Computational Modeling and Simulation in the Regulated Medical Device Industry
01:00 PM - 01:20 PM EDT
Computational modeling and simulation (CM&S) is an accepted tool for evaluating the safety and performance of orthopaedic medical devices. Over the past decade, the use of CM&S in this industry has advanced from early concept evaluation and worst-case evaluation in support of safety and performance testing to more innovative applications that more closely aim to mimic the clinical environment, and more directly impact individual patient care. These applications have been facilitated by guidance from standards organizations and device regulatory agencies around determining the appropriate model credibility for uses of simulation that can impact patients. The aim of this presentation is to provide an overview of traditional and emerging applications of CM&S in support of orthopaedic device development.
Jeffrey E. Bischoff, PhD
Senior Research Director at Zimmer Biomet
Dr. Jeffrey Bischoff is Senior Director of Biomechanics at Zimmer Biomet, where he has been since 2006. Prior to joining the medical device industry, he completed his Ph.D. in Mechanical Engineering at the University of Michigan, served as Lecturer at the University of Auckland (New Zealand) and as Assistant Professor at the University of South Carolina, where he pursued federally funded research in various aspects of computational biomechanics and was instrumental in forming a biomedical engineering degree program. Over the past fifteen years, Jeff has supported device development efforts using computational analysis across a wide range of orthopaedic applications, and throughout the total product life cycle from design ideation through regulatory clearance and commercialization. He has been actively involved with the ASME VVUQ40 Sub-Committee, including as chair of the orthopaedic working group and as vice-chair of the sub-committee. He is currently on his second term as chair of the sub-committee, effective 2022-2025.
01:00 PM - 01:20 PM
01:00 PM - 01:20 PM
Use of ANSYS products for in silico medicine in the cardiovascular system
Gabriele Dubini, PhD
Professor of Bioengineering at Politecnico di Milano, Milan, Italy
Use of ANSYS products for in silico medicine in the cardiovascular system
01:00 PM - 01:20 PM EDT
In silico medicine refers to computational techniques and mathematical models for clinical use. In particular, we speak of digital twins when these technologies are used to support medical decisions (e.g. diagnosis, treatment) for a single patient, leading to greater personalization of treatment and reducing the need for invasive tests. In silico trials involve the use of individualized computational models to ensure the safety and efficacy of new medical devices, drugs, or new surgical procedures in a clinical trial, leading to a potential reduction in human and animal involvement in trials, reducing time, costs and risks for the development of new products or treatments. In silico medicine requires the development of computational models able to faithfully reproduce both the patient-specific anatomy and the features and the materials of the medical treatment. At the Laboratory of Biological Structure Mechanics (LaBS) of Politecnico di Milano we have established a workflow able to generate a number of reliable models for in silico medicine in the cardiovascular system. In this presentation, I will describe three of them: the Transcatheter Aortic Valve Implantation (TAVI), the Thoracic EndoVascular Aortic Repair (TEVAR) and the Intra-Arterial Thrombectomy (IAT).
Gabriele Dubini, PhD
Professor of Bioengineering at Politecnico di Milano, Milan, Italy
Gabriele Dubini holds an MSc in Mechanical Engineering (cum laude, 1988) and a PhD in Bioengineering (1993) from POLIMI. He worked as Research Assistant in the Cardiothoracic Unit of Great Ormond Street Hospital for Children in London and was lecturer of Thermodynamics and Heat Transfer in the Energy Engineering Department of POLIMI, Associate Professor in Industrial Bioengineering and Director of Laboratory of Biological Structure Mechanics – LaBS of Politecnico di Milano. At present, he is Professor of Bioengineering in the Department of Chemistry, Materials and Chemical Engineering ‘Giulio Natta’. From 2008 to 2012 he was a member (elected) of the Council of the European Society of Biomechanics (ESB) and the Secretary-General for the 2010-12 biennium. Major research activities have included the microcirculation, virtual planning of paediatric cardiac surgery procedures, design and characterization of endovascular devices and microfluidic devices for biomedical applications. He has been the Chair of the PhD Programme in Bioengineering at Politecnico di Milano since January 2022. His h-index is 50, with more than 7,000 citations (Scopus, as of 31 July 2023).
01:00 PM - 01:25 PM
01:00 PM - 01:25 PM
Advancing Geothermal Drilling: Simulations of Particle Drilling Techniques
Advancing Geothermal Drilling: Simulations of Particle Drilling Techniques
01:00 PM - 01:25 PM EDT
Geothermal energy has emerged as a prominent renewable energy source, gaining substantial traction in recent years, primarily driven by global clean energy initiatives. Despite its promise, geothermal projects encounter specific challenges, notably in drilling through tough geological formations like granite. Particle drilling represents a cutting-edge approach that revolutionizes geothermal drilling practices. Particle drilling introduces a novel concept where hardened steel particles are utilized to disintegrate rock formations. These particles, propelled at high velocities, effectively blast through the hard substrates, facilitating efficient drilling operations. The core of particle drilling's success lies in its intricate design, through advanced simulations using Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM). These simulations delve deep into the dynamics of particle flow within the drill bit's nozzles and optimizing the drilling process. Furthermore, CFD and DEM simulations also play a crucial role in assessing the erosion dynamics of the drill bit. As the hardened steel particles rebound from the formation, they create a complex interaction that can lead to wear on the drill bit. By simulating these interactions, engineers can fine-tune the drill bit's design, enhancing its durability and longevity in demanding geothermal drilling environments.
01:00 PM - 01:20 PM
01:00 PM - 01:20 PM
SigmaDVD (sDVD): High Coverage Solution for Power Integrity Signoff
Anusha Vemuri
Physical Design Methodology Engineer at NVIDIA
SigmaDVD (sDVD): High Coverage Solution for Power Integrity Signoff
01:00 PM - 01:20 PM EDT
SigmaDVD (sDVD) is a unique simulation method that provides complete power grid noise coverage for 100% of the design instances. This novel simulation technique generates tens of thousands of unique switching scenarios for each instance independently, using Monte Carlo techniques, and gathers the results into a distribution with a known three-sigma DVD value (sDVD) per instance. This analysis closes a known gap in power grid noise coverage available from other methods, such as vectorbased and vectorless direct transient simulations as well as BQM. The main considerations when comparing this new IR-Drop flow with other techniques are coverage (what % of hotspots from other IR-Drop methods does sDVD cover?) and how to handle the increase in hotspots/violating instances caused by the massive increase in noise coverage. We quantified this new flow's coverage capabilities through heatmap comparisons. In this presentation, we will first discuss the theory of sDVD, various trials we conducted to compare sDVD with other IR-Drop methods, and main conclusions (such as cost/coverage) based on our analyses. To demonstrate the added value from sDVD, we investigated sDVD's coverage of post-silicon identified outliers.
Anusha Vemuri
Physical Design Methodology Engineer at NVIDIA
Anusha Vemuri works at NVIDIA as a Physical Design Methodology Engineer in the Hardware-VLSI team. She studied at UCLA for her Bachelors and Masters in Electrical Engineering and graduated in December, 2020.
01:05 PM - 01:30 PM
01:05 PM - 01:30 PM
Automotive Crash Safety: Emerging Trends and Capabilities
Automotive Crash Safety: Emerging Trends and Capabilities
01:05 PM - 01:30 PM EDT
A. Haufe, F. Andrade, A. Gromer, S. Stahlschmidt, T. Graf, D. Koch, T. Erhart, S. Hartmann (all Ansys Inc.) Crash Safety has been a major development goal in the automotive industry for decades. While during the last decades it became more and more apparent, that proper vehicle design, w.r.t crashworthiness and its various requirements imposed through dozens of load cases, could only be achieved by extensive usage of state-of-the-art CAE technology, nowadays impressive predictiveness is achieved by careful calibration and thorough validation of every single aspect of the applied crashworthiness models: Sophisticated spatial discretization, constitutive and connection modelling as well as advanced contact algorithms contribute to this achievements. So, the question arises, what challenges are ahead when it comes to crashworthy vehicle design? The present talk will therefore focus on three topics: Two of which will prove critical to increase predictiveness of crashworthiness models in future, namely higher order spatial discretization including isogeometric analysis (IGA) on the one side and taking the production process chain of all critical parts into account, on the other side. While it is clear, that higher order approximation of spatial discretization will surely improve predictiveness, it may only be visible for the experienced material specialist, that production processes change local material properties of a part in a critical sense. Hence, these effects need to be considered when energy dissipation during a highspeed event needs to be increased in a critical domain. The third topic directly arises from the fact, that with all these efforts to increase the predictiveness of our models, the certification of models, eventually leading to a fully virtual homologation process, is the logical and from an engineering perspective exciting next step: If hundreds of certification crash tests are replaced by virtual, high-fidelity simulation models the corresponding carbon footprint is being reduced by the maximum possible. This is even more the case, if comprehensive homologation procedures for vehicles (or products in general) are done virtually for as many markets worldwide as possible. Clearly, dropping the physical twin is the next visionary and overarching goal in many industries.
01:05 PM - 01:50 PM
01:05 PM - 01:50 PM
Navigation in Lunar and Cislunar Space
Navigation in Lunar and Cislunar Space
01:05 PM - 01:50 PM EDT
This presentation provides a broad overview of the challenges and best practices for navigation in the cislunar and near-lunar space. It will provide insights into the unique aspects of navigating a spacecraft from Point A to Point B when there are no trail markers or established paths, and there is a need for precise orbit knowledge in support of mission and trajectory requirements. We will look beyond traditional ground-based tracking options to increase tracking diversity while decreasing the load on Earth-based tracking networks.
01:20 PM - 01:30 PM
01:20 PM - 01:30 PM
TBD
TBD
01:20 PM - 01:30 PM EDT
01:25 PM - 01:45 PM
01:25 PM - 01:45 PM
Hybrid, Hydrogen, and Electric Aircraft Propulsion Systems
Hybrid, Hydrogen, and Electric Aircraft Propulsion Systems
01:25 PM - 01:45 PM EDT
Aviation is one of the most carbon intensive forms of transport and one of the most difficult to decarbonise. To move aviation to net zero by 2050 which is the aspiration, will require the sector to innovate and solve many engineering challenges. These are mapped out in this presentation and the application areas which simulation and system design can be used to address are identified. This is complimented by two companies active in this field and how their engineering is supported by Ansys Simulation.
High level overview of regulatory changes driving Sustainability across the globe and how the PTC and Ansys joint offerings can help towards achieving sustainability commitments in Manufacturing. Examples will include integration system footage based on Vestas wind turbines and how modularity, material data and simulation supports Greener Wind Turbines.
01:25 PM - 01:45 PM
01:25 PM - 01:45 PM
Solution for 2.5D/3D ICs ESD Verification
Solution for 2.5D/3D ICs ESD Verification
01:25 PM - 01:45 PM EDT
Electrostatic Discharge (ESD) verification is extremely important in ICs design. With technology feature size shrink in fast pace, with more and more designs move to 3DIC, the problem size has been increasing exponentially. Our solution with classic PathFinder-SoC has reached it's capacity limit, and new solutions need to be provided for the emerging needs.Implemented on SeaScape platform, a new solution PathFinder-SC with bump-to-clamp, clamp-to-clamp, bump-to-bump resistance, current density and connectivity checks supported, by utilizing massive parallelism capability from the SeaScape platform, PathFinder-SC is able to split and reduce problem size and enables concurrent computation in ESD resistance and current density checks on 2.5D/3D ICs. In addition, efficient algorithms that reduces the computational complexity to be proportional to the port (bumps and clamps) size helped further improve the runtime and capacity. We are able to provide industry first 3DIC ESD solutions. Using PathFinder-SC, with 32 CPUs, it is capable to compute 9.5 million ESD resistances in 8 hours , and, 110 current density check analysis in 21.5 hours. Even for single die, we are able to reach 60x speed up and 5x memory reduction compared with competitor/traditional solutions.
01:30 PM - 01:55 PM
01:30 PM - 01:55 PM
Sponsor Session: Ansys and Kalypso Partnership Compounds Value for Automotive Manufacturer
Sponsor Session: Ansys and Kalypso Partnership Compounds Value for Automotive Manufacturer
01:30 PM - 01:55 PM EDT
Disparate material definitions and the need to keep up with the increasing materials reporting demands of their customers have been a compounding challenge for our client, a major Tier 1 automotive manufacturer. Granta MI provides the foundation to address these immediate concerns and grow the collaboration and efficiency of the engineering teams. The future looks to expand the consumption of materials data more broadly within the organization, and to enhance visibility to sustainability within the engineering process.
01:30 PM - 01:55 PM
01:30 PM - 01:55 PM
Pushing the Boundaries of Aerodynamic Design
Pushing the Boundaries of Aerodynamic Design
01:30 PM - 01:55 PM EDT
Automotive external aerodynamics is a crucial factor in the design and performance of vehicles. It affects performance, fuel efficiency, stability, noise, and comfort. In the context of electric vehicles (EVs), aerodynamics plays a pivotal role, as it critically influences both battery range and longevity. Additionally, EVs exhibit lower engine noise levels than traditional combustion engines, thereby elevating the importance of aerodynamics in achieving acoustic comfort. Traditionally, aerodynamic simulations, which are computationally expensive and time-consuming, have been performed using CPU-based solvers. In this presentation, we will show how Native Multi-GPU solver can dramatically accelerate simulation by an order of magnitude and improve the accuracy of aerodynamic predictions, enabling faster design iterations and better optimization. Finally, we are excited to introduce our latest AI innovation, Ansys SimAI, that will enable a new paradigm for data driven design.
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May 15, 2024
TIME EDT
TITLE
SPEAKER(S)
10:00 AM - 10:20 AM
10:00 AM - 10:20 AM
Future of Simulation-Driven Product Innovation
Prith Banerjee
Chief Technology Officer at Ansys
Future of Simulation-Driven Product Innovation
10:00 AM - 10:20 AM EDT
Traditionally, engineered products were designed with mechanical and electrical CAD tools, simulated and validated for correctness with CAE tools, prototypes were fabricated and tested, and products were then manufactured at scale in factories.
This process required long product cycles often spanning years to build a new product. Today, unlimited computing and storage on the cloud can use generative design to explore thousands of design choices in near real-time, verify and validate these products virtually through simulation and manufacture the products using factory automation.
In the past, simulation tools were used to model specific, single physics such as mechanical structures, fluid dynamics, or electromagnetic interactions by solving second order partial differential equations using numerical methods.
Today, simulation tools solve multi-physics problems at scale using the most complex solvers. My talk will discuss five key pillars of the Ansys long term technology strategy:
(1) Core Physics and Numerical Methods including novel solver methods, geometry and meshing, and multi-domain, multiscale simulation
(2) High-Performance Computing using shared memory, message-passing, GPUs and quantum computing
(3) AI/Machine learning for solver acceleration and automatic solver settings
(4) Cloud and Platforms for cloud marketplace and cloud native solvers
(5) Digital Engineering including MBSE and digital twins.
Prith Banerjee leads the evolution of Ansys technology and champions the company's next phase of innovation and growth. During his 35-year technology career - from academia, to initiating startups, to managing innovation in enterprise environments - he has actively observed, and promoted how organizations can realize open innovation success.
10:20 AM - 10:40 AM
10:20 AM - 10:40 AM
Turbocharging product development with a simulation digital thread
Rob Davis
Director Product Management at Ansys
Turbocharging product development with a simulation digital thread
10:20 AM - 10:40 AM EDT
The most effective way of extending the capabilities of simulation across the product life cycle is by developing a data-driven architecture that connects all digital assets and data for engineering processes in an unbroken chain that can be retrieved and used throughout the product design lifecycle: we call this a Simulation Digital Thread. This can be created by connecting simulation related process, tools and data or models across the teams. The advantage of doing this is to leverage the insight offered by simulation up and down the product lifecycle in a model-based and traceable way. This supports a deeper engineering collaboration, and being tool-agnostic, can be implemented in a modular way. Find out more about how to 'turbocharge' product development with Rob Davis from Ansys.
Find out more about how to amplify the benefit of simulation with a connected digital thread.
Rob Davis
Director Product Management at Ansys
Rob Davis is Director of Product Management for the Ansys Connect Products, covering Materials, MBSE, Optimization and SPDM. Rob joined Ansys in 2019 as part of the Granta acquisition where he lead the product management team. Prior to joining Ansys Rob gained over 18 years of product management experience growing software-based products in start-up businesses across a wide range of industries. Rob has a PhD in Control Systems Engineering from Cambridge University.
10:20 AM - 10:45 AM
10:20 AM - 10:45 AM
Simulation of Transcatheter Aortic Valve Replacements: Guiding the Treatment for Optimal Performance
Nils Karajan
Senior Principal Application Engineer at Ansys
Simulation of Transcatheter Aortic Valve Replacements: Guiding the Treatment for Optimal Performance
10:20 AM - 10:45 AM EDT
In general, the design of a stent frame for transcatheter valve replacements is a challenging task as manufacturing has an influence on the final shape of the device. Moreover, a complicated fluid-structure interaction load case is required to assure optimal performance of the valve and to predict stresses and strains in the frame for fatigue life assessment. The goal of this presentation is to simplify these simulations and work toward connecting them in an automated workflow. Starting with shape-setting simulations of the stent frame the device is then crimped into a delivery capsule to prepare it for treatment. A simulation of the micro catheter insertion process will lead to a good initial position to deploy the device into the anatomy. These simulations can be repeated at different implant depths to find a position where the performance of the valve is optimized using fluid-structure interaction simulations. Such a workflow will allow design engineers in industry to quickly assess design ideas under real-life loading conditions. Also, clinicians will find this useful to check the optimal sizing and positioning of the device.
Install pyheartlib to learn more about heart modeling.
Nils Karajan
Senior Principal Application Engineer at Ansys
1997 – 2003: Civil Engineering studies at the University of Stuttgart 2003 – 2009: PhD at the Institute of Applied Mechanics, University of Stuttgart 2009 – 2012: PostDoc for Continuum Biomechanics at the Cluster of Excellence forSimulation Technology (SimTech), University of Stuttgart 2012 – 2017: Engineering Consultant at the DYNAmore GmbH, Stuttgart 2018 – 2023 : Engineering Manager at DYNAmore Corporation, Columbus, OH, USA Since 2024: Senior Principal Application Engineer at DYNAmore, An Ansys Company to develop new healthcare strategies
10:20 AM - 10:45 AM
10:20 AM - 10:45 AM
Ansys AI, Advancing design by leveraging the power of AI
Dr. Marc Born
Senior Director Product Management at Ansys Germany GmbH
Ansys AI, Advancing design by leveraging the power of AI
10:20 AM - 10:45 AM EDT
The recent progress in AI technology surely has the potential to change human life in various aspects. As it is Ansys’s vision to power innovation that drives human advancements we are fully committed to leverage the power of AI to let that vision come true. We work along our pervasive insights strategy that will help everybody to make better and faster decisions with the help of simulation and AI. In this presentation our recent advancements in AI at Ansys will be introduced: Ansys SimAI, which is a cloud-native, deep-learning AI platform for simulation that is trained with past simulation data to solve different application cases in various physics at lightning speed. Ansys GPT, which is the new AI-driven virtual assistant with Ansys-specific knowledge based on reliable and traceable resources. And finally, Ansys AI+ which are various applications of AI technology to enhance the capabilities of our existing products.
Learn more about AI-Accelerated simulation solutions.
Dr. Marc Born
Senior Director Product Management at Ansys Germany GmbH
Dr. Marc Born is Senior Director in the Ansys product management organization. In his current role he is responsible for the product management teams of the Safety, Embedded Software and Digital Twin product lines as well as Ansys AI. His main interests include Model-based Systems Engineering (MBSE) and model-based safety analysis.
10:20 AM - 10:40 AM
10:20 AM - 10:40 AM
A Perspective on the Adoption of Digital Engineering Within an Enterprise
Steve Bleymaier
Brig Gen (Ret) USAF, CTO for Aerospace & Defense at Ansys
A Perspective on the Adoption of Digital Engineering Within an Enterprise
10:20 AM - 10:40 AM EDT
Digital engineering maturity is a journey, and digital transformation is much more than a buzzword. Increasing complexity and decreasing tolerance for lengthy program/product timelines demands a revolutionary improvement approach, not an incremental one. The answer is digital engineering, which is not about adoption of digital technologies. It is about connecting current independent silos within organizations to respond quickly to engineering changes to stay competitive. The common traits of a successful digital transformation on the journey toward digital engineering maturity include: an open ecosystem approach, a mission or operation-centric approach, and establishing truly connected digital threads. Combined, you’re able to reduce risks and timelines, validate requirements, rapidly transition to operations, and extract better and faster portfolio investment insights.
Sign up for our 'Digital Transformation and MBSE: solution for the future' webinar series.
Steve Bleymaier
Brig Gen (Ret) USAF, CTO for Aerospace & Defense at Ansys
Brig Gen (Ret) Steve Bleymaier served 28 years in the Air Force commanding at all levels including a 9,500-person, $2.8B Air Logistics Complex. Thereafter, he consulted for Aerospace & Defense companies and then joined Ansys 4 years ago, first as Vice President, Government Programs, and currently as CTO for A&D.
10:20 AM - 10:40 AM
10:20 AM - 10:40 AM
Key Findings of Surveys on Cloud Computing for Engineering Simulation
Wim Slagter, PhD
Director, Partner Programs at Ansys
Key Findings of Surveys on Cloud Computing for Engineering Simulation
10:20 AM - 10:40 AM EDT
In this presentation, we will unveil the key insights obtained from recent research studies on cloud-enabled simulations. These studies were conducted by Hyperion Research and Peerless Research through surveys involving over 800 engineers, engineering and IT managers, as well as C-level executives. Beyond the overarching findings, you will gain a deeper understanding of the challenges, driving factors (including financial ROI), methods for accessing cloud resources, and best practices for implementing and expanding a cloud computing initiative.
Learn more about our Ansys Cloud & HPC Solutions available.
Wim Slagter, PhD
Director, Partner Programs at Ansys
Wim is director partner programs at Ansys. In his role, he is responsible for the overall design and execution of the partner programs (including HPC programs) within Corporate Development and Global Partnerships at Ansys. Wim has 30 years of experience in the business of engineering simulation software with management positions in software development, consulting, sales, and product management. Wim holds a PhD degree in Aerospace Engineering from the Technical University of Delft in the Netherlands.
We’re witnessing a disruption in product development as the physical and digital worlds merge to generate unprecedented product innovation. Because products are smarter and more innovative than ever, how they are designed, brought to market, and operated has been profoundly altered. Engineering simulation is key in enabling greater insight and rigor in product design. In this presentation, Dr. Williams will describe several of the key inventions contributed by Ansys that have led to the most powerful suite of tools for engineering simulation. Advancements in numerical methods like electromagnetic mesh fusion, computational fluid dynamics GPU solvers, and Isogeometric explicit solvers, and AI/ML solutions will be discussed. Industry examples will be drawn from automotive, aerospace, healthcare, and high-performance computing.
Larry Williams
Distinguished Engineer at Ansys
Dr. Larry Williams serves as Distinguished Engineer at Ansys, Inc., responsible for driving the application and strategic direction of the company’s advanced simulation products, with emphasis on Electronics, Structural Mechanics, and Fluid Dynamics solvers. He is best known for his work on the High Frequency Structure Simulator (HFSS) for 3D high-frequency electromagnetics, antennas, and high-speed electronics. Dr. Williams is an expert in the application of electromagnetic field simulation and has over 20 years’ experience in the fields of electromagnetics and communications engineering, has delivered technical lectures internationally, and has published numerous technical papers on the subject. He serves on the UC Irvine Henry Samueli School of Engineering Dean’s Advisory Board. He received his Masters, Engineers, and Ph.D. degrees from UCLA in 1989, 1993 and 1995, respectively.
10:20 AM - 10:45 AM
10:20 AM - 10:45 AM
Using GenAI and ML in Simulation Tools for Chiplet-based 3DIC Design
Norman Chang
Ansys Fellow at Ansys
Using GenAI and ML in Simulation Tools for Chiplet-based 3DIC Design
10:20 AM - 10:45 AM EDT
Chiplet-based design adds multiple chiplets in 3DIC and interfaces to systems already having millions of parameters, regions, and connections. AI/ML can help handle the increased complexity much as it has in many other areas. Typical uses include parameter value and consistency checks, rapid identification of problem areas, trend analysis, optimization procedures, and rule and standards checking. ML can simplify procedures, offer suggestions, explain error warnings, and make complex programs easier to use. Design tools can also offer interfaces to custom ML applications and to popular systems such as ChatGPT/GenAI. ML can even provide intelligent help with difficult tasks such as simulation and sytem technology co-optimization.
Learn more about AI-Accelerated simulation solutions.
Norman Chang
Ansys Fellow at Ansys
Norman Chang is an Ansys Fellow and Chief Technologist of Electronics, Semiconductor, and Optics BU, where he currently leads AI/ML and security initiatives. Before joining Ansys, he was Co-Founder/VP at Apache Design Solutions, a leading provider of innovative power analysis and optimization solutions. He also led a research group on power/signal/thermal integrity of chipsets based on VLIW architecture at HP Labs. He holds 30 patents and has co-authored over 60 IEEE papers and a popular book on “Interconnect Analysis and Synthesis” by Wiley-Interscience. He is an IEEE fellow and an active committee member at IEEE EDPS (Electronic Design Process Symposium) and SI2. He earned a PhD in electrical engineering and computer sciences from UC Berkeley.
10:40 AM - 11:00 AM
10:40 AM - 11:00 AM
What Exactly is MBSE?
J. Simmons, Ph.D
Digital Engineering Consultant at The J. Simmons, LLC
What Exactly is MBSE?
10:40 AM - 11:00 AM EDT
What is MBSE? This is an all too common question. And the standard answer, the one taught by many experts, and frequently given by them, is: “MBSE is Systems Engineering with models.” But, this just begs the question what is Systems Engineering? And how would you even do it with models? In this presentation we will provide a concrete answers to these questions and look at what is needed to actually "do" MBSE.
Find out more in our model-based systems engineering explained blog.
J. Simmons, Ph.D
Digital Engineering Consultant at The J. Simmons, LLC
J. Simmons is a Digital Engineering consultant with over 15 years of experience in Digital and Systems Engineering. He has a Ph.D. in Space Systems Engineering from the Air Force Institute of Technology and has supported all corners of the aerospace industry from the armed services to the aerospace primes to national labs.
10:40 AM - 11:00 AM
10:40 AM - 11:00 AM
Model-Based Solutions for Embedded Controls of the Future
Christian Schrader
Global Technical Lead Automotive at Ansys
Model-Based Solutions for Embedded Controls of the Future
10:40 AM - 11:00 AM EDT
Autonomous driving is pushing the demands for fail-operational systems in cars today and tomorrow. This presentation gives insights into the problem space and how it can be addressed by means of a model-based end-to-end software development approach for safety-critical systems in accordance with the ISO 26262 safety standard.
Request an Ansys SCADE free trial today to start your embedded software project.
Christian Schrader
Global Technical Lead Automotive at Ansys
Working in application engineering for safety analysis, model-based software design and model-based system engineering since 2006. Holding a diploma in computer science and embedded systems. Based in Oldenburg, Germany.
10:40 AM - 11:00 AM
10:40 AM - 11:00 AM
Ansys Advances Availability of Ansys’ Simulation Solutions in the Cloud with Ansys Access on Microsoft Azure
Larry Williams
Distinguished Engineer at Ansys
Ansys Advances Availability of Ansys’ Simulation Solutions in the Cloud with Ansys Access on Microsoft Azure
10:40 AM - 11:00 AM EDT
Larry Williams, Distinguished Engineer at Ansys will have the amazing pleasure to officially announce the upcoming general availability of Ansys Access on Microsoft Azure. This brand-new released product allows customers to use popular Ansys products in one unique workspace on Microsoft Azure – This new offering will be available on May 30th , 2024, via the Azure Marketplace, enabling customers to run simulations in their own Azure subscription and using their existing licenses. This new offer will enable customers to use their existing Ansys applications along with Azure services purchased directly from Microsoft to deliver cost-savings and improved data management as well as greater flexibility. The addition of Ansys Access on Microsoft Azure to Ansys’ current cloud offerings will allow customers to choose the most effective method to realize the benefits of cloud-based simulation for their organizations. Join Larry Williams to learn more about this new offering.
Learn more about our Ansys Cloud & HPC Solutions available.
Larry Williams
Distinguished Engineer at Ansys
Dr. Larry Williams serves as Distinguished Engineer at Ansys, Inc., responsible for driving the application and strategic direction of the company’s advanced simulation products, with emphasis on Electronics, Structural Mechanics, and Fluid Dynamics solvers. He is best known for his work on the High Frequency Structure Simulator (HFSS) for 3D high-frequency electromagnetics, antennas, and high-speed electronics. Dr. Williams is an expert in the application of electromagnetic field simulation and has over 20 years’ experience in the fields of electromagnetics and communications engineering, has delivered technical lectures internationally, and has published numerous technical papers on the subject. He serves on the UC Irvine Henry Samueli School of Engineering Dean’s Advisory Board. He received his Masters, Engineers, and Ph.D. degrees from UCLA in 1989, 1993 and 1995, respectively.
10:45 AM - 11:10 AM
10:45 AM - 11:10 AM
Empower Innovation and Capture Market Share with HFSS 3D Components
Hawal Rashid, Ph.D
Sr. Principal Engineer at Ansys
Empower Innovation and Capture Market Share with HFSS 3D Components
10:45 AM - 11:10 AM EDT
In an era where technological innovation shapes the competitive landscape, the strategic integration of 3D components into product design and development emerges as a pivotal driver for business transformation. This presentation underscores the compelling potential of leveraging Ansys HFSS (High-Frequency Structure Simulator) 3D components to forge new business models aimed at accelerating revenue growth. It highlights the critical role these components play across key industries such as Electronics, Aerospace, and Automotive, enhancing product quality, performance, and thereby competitive advantage. Implementing your products as encrypted 3D components available within the HFSS library not only simplifies the engineering process for your customers but also broadens your market reach and visibility on a global scale. The presentation aims to show how adopting HFSS 3D components can unlock innovative revenue streams, foster strategic partnerships, and enhance customer value. Through real-world examples and strategic insights, attendees will learn how this technology leads to the development of new a business model that propels their companies into new realms of profitability and market leadership.
Hawal Rashid, Ph.D
Sr. Principal Engineer at Ansys
Dr. Hawal Rashid, with a Ph.D. in Electrical Engineering, specializes in the next-generation 5G/6G wireless communication technology at Ansys. He's an expert in phased arrays, RF design, and digital modeling for complex systems. Dr. Rashid also researches THz systems and components, contributing to advancements in Microwave/THz technologies through over 50 publications and patents.
10:45 AM - 11:05 AM
10:45 AM - 11:05 AM
AI-Powered Innovation Enhancing the Ansys Support Experience
Anthony Dawson
VP, Ansys Customer Excellence at Ansys
AI-Powered Innovation Enhancing the Ansys Support Experience
10:45 AM - 11:05 AM EDT
With nearly thirteen years of tenure with Ansys and twenty years of experience in numerical analysis, Anthony Dawson has dedicated his career to simulation. Currently, the Vice President of Ansys Customer Excellence (ACE), Anthony leads Ansys’ global engineering teams. The mission for ACE is clear—make Ansys customers successful. Today, Anthony shares one of the latest innovations from ACE, AnsysGPT- an AI-powered virtual support engineer. Built using ChatGPT technology on an Open AI Microsoft Azure platform, fusing the expertise of accredited Ansys engineers with the dynamism of artificial intelligence and machine learning to deliver a general-use tool capable of providing rapid customer support. AnsysGPT empowers customers to independently find solutions to questions, enhancing the ACE support offerings. Through hands-on customer partnership and cutting-edge technological solutions, ACE is committed to scaling and influencing global innovation while tailoring Ansys technology to better serve customers in 2024 and beyond.
Learn more about AI-Accelerated simulation solutions.
Anthony Dawson, VP of Ansys Customer Excellence, previously VP and General Manager of Product. Before joining Ansys, Dawson was a Research Scientist at the U.S. Department of Defense. Dawson has dedicated his career to simulation and currently leads Ansys’ global engineering teams.
10:45 AM - 11:10 AM
10:45 AM - 11:10 AM
The Foundation of Domain Decomposition Technologies in HFSS
Kezhong Zhao
Ansys Fellow at Ansys
The Foundation of Domain Decomposition Technologies in HFSS
10:45 AM - 11:10 AM EDT
There have been significant advances in HFSS over the last decade. Some of these new technologies such as general domain decomposition solver, hybrid finite element-boundary integral solver (FE-BI), hybrid integral equation region solver (IE region), and more recently 3D component array and mesh fusion solvers are all based on powerful domain decomposition method (DDM). DDM is a technique that allows HFSS to exploit high performance computing (HPC) capabilities to solve EM problems of unprecedented size and scope. The basic idea of DDM is to decompose the original problem into several non-overlapping and possibly repetitive sub-domains. The continuity of electromagnetic fields at the interfaces between adjacent sub-domains is enforced through some suitable boundary conditions. By doing so, the most efficient solver or meshing technology can be employed in each domain. In this presentation, we will go over the following.
• Overview of domain decomposition formulations in HFSS
• HFSS solver evolution in the past decade
• In-depth discussion in various DDM technologies available in HFSS including 3D component array, FE-BI/IE Region, and mesh fusion
• How each technology compares with traditional approach in term of accuracy and computational requirements
Enhance Your Ansys HFSS Skills with Our Free Online Courses.
Kezhong Zhao
Ansys Fellow at Ansys
Kezhong Zhao received PhD degrees in electrical engineering from The Ohio State University in 2007. Right after graduation he joined Ansoft Corporation. He is currently an Ansys fellow in the HFSS solver team. He has developed several popular features in HFSS including FEBI, 3D component array and mesh fusion solver.
11:00 AM - 11:25 AM
11:00 AM - 11:25 AM
Accelerating EV Motor design using MBSE approach
Roopesh Shroff
Domain Consultant (Centre of Excellence Team) at Tata Consultancy Services
Balasaheb Upase
Lead Simulation Engineer (Centre of Excellence Team) at Tata Consultancy Services
Accelerating EV Motor design using MBSE approach
11:00 AM - 11:25 AM EDT
Model-Based Systems Engineering (MBSE) enables requirements, design, analysis, verification, and validation of complex systems. Obtaining data for such systems is dependent on multiple stake holders and have issues related to communication, data loss, accuracy, traceability which results in time delays. This paper presents the development of new process for requirement verification by connecting System Architecture Model (SAM) with multi-fidelity, multi-disciplinary analytical models. Stakeholders can explore design alternatives at conceptual stage, validate performance, refine system models, and take better informed decisions. The use-case of connecting system requirements to engineering analysis is implemented through ANSYS ModelCenter which integrates MBSE tool CAMEO with simulation tools MotorCAD & TwinBuilder. This automated workflow translates requirements to engineering simulations, captures output and performs validations. System Architecture Model is created in CAMEO with requirements and structure diagram. MotorCAD is used to calculate motor performance and efficiency map. TwinBuilder is used to develop integrated system (EV) model and calculate vehicle level performance characteristics such as vehicle range, acceleration and gradeability etc. Trade studies are performed to evaluate design alternatives. ModelCenter empowers engineers and decision makers by providing early requirement verification capabilities thereby reducing re-work and enhancing efficiency in product development.
Sign up for our 'Digital Transformation and MBSE: solution for the future' webinar series.
Roopesh Shroff
Domain Consultant (Centre of Excellence Team) at Tata Consultancy Services
Roopesh Shroff is Domain Consultant for the Internet of Things and Digital Engineering unit’s Center of Excellence (CoE) team at TCS. He has 22 years of experience working with several automotive and locomotive customers driving simulation projects to bring value to their product development. In his current role, Roopesh is responsible to develop new simulation methods and technologies aimed to accelerate products development for Automotive customers. His interest areas are Structural, Thermal, Electromagnetics and Digital twins applications in electric and autonomous vehicles.
11:00 AM - 11:25 AM
11:00 AM - 11:25 AM
Product Development Transformation: Bridging The Gap Between Simulation And Systems Engineering
J. Robert Wirthlin, PhD
Senior Technical Leader, Systems Engineering at Ford Motor Company
Product Development Transformation: Bridging The Gap Between Simulation And Systems Engineering
11:00 AM - 11:25 AM EDT
In the automotive sector, the competitive environment is fiercer than ever. The marketplace is demanding ever-increasing complex products at a faster rate with higher quality expectations than ever before. New players in the industry are challenging industry norms and practices. Finally, all of these subject to changing technologies, government regulations, and the laws of physics demand more than ever from automotive original equipment manufacturers like Ford Motor Company. Margins on our products are razor-thin and volume sales are required for survival. Engineering and design cannot rely upon previous technical prowess to deliver new products, rather efficiencies and productivity gains are required. New methods, processes, and tools are required to augment the ever expanding demands placed upon engineers. New ways of working together across engineering functions and technical disciplines are required. This presentation will examine some of these challenges, Ford’s responses, and the increasing important role of simulation and engineering tools in the design and manufacturing of automotive vehicles.
J. Robert Wirthlin, PhD
Senior Technical Leader, Systems Engineering at Ford Motor Company
J. Robert Wirthlin, PhD, holds a PhD in Engineering Systems and a master’s from MIT, and a BS from the US Air Force Academy. Dr. Wirthlin previously held positions at GM and in the US Air Force in systems engineering and program management. He has numerous publications to his credit.
11:00 AM - 11:25 AM
11:00 AM - 11:25 AM
Sponsor Session: Unlock your Innovation with Purpose built HPC Infrastructure
Nidhi Chappell
VP Azure Infrastructure at Microsoft
Sponsor Session: Unlock your Innovation with Purpose built HPC Infrastructure
11:00 AM - 11:25 AM EDT
Simulation stands as the cornerstone of product development, bridging imagination and reality. Ansys and Microsoft, united by a shared vision, have embarked on an extraordinary journey spanning years. Their mission? To empower engineers worldwide by revolutionizing cloud infrastructure. In this pivotal session, Nidhi Chappell, VP of Azure Infrastructure, will unveil the transformative power of purpose-built, world-class HPC infrastructure. Brace yourselves—this is where breakthroughs happen.
Learn more about our Ansys Cloud & HPC Solutions available.
Nidhi Chappell
VP Azure Infrastructure at Microsoft
Nidhi Chappell is the General Manager for the AI HPC Infrastructure business for Azure. She leads a dedicated team of Product Managers who are pioneering the latest infrastructure offerings in the areas of deep learning, simulation and visualization etc. Prior to joining Microsoft, Nidhi led the development of the AI product strategy and high performance computing offerings at Intel. Nidhi has a Masters in Computer Engineering from University of Wisconsin and an MBA from University of Michigan. She holds a US patent on branch prediction in the area of computer instruction
11:05 AM - 11:25 AM
11:05 AM - 11:25 AM
SimAI, Generative AI and Deep Learning to Democratize Simulation
Nicolas Rasamimanana
R&D Director at Ansys
SimAI, Generative AI and Deep Learning to Democratize Simulation
11:05 AM - 11:25 AM EDT
We're revolutionizing engineering simulation with the power of Artificial Intelligence. Our AI-augmented simulation technology is a game-changer, bringing unprecedented speed, innovation, and accessibility to the engineering world. With Ansys SimAI, we are enabling product engineers and designers to leverage their previous simulation and measurement data to assess the performance of new designs in minutes instead of hours. SimAI is a machine learning platform for engineers who need to rapidly explore and predict the performance of new concepts across design phases. This AI platform provides reliable and fast results, accessible through user-friendly cloud-native application. SimAI targets a broad engineering audience that includes all simulation engineers and designers, Ansys or not, in every physics and industry.
Learn more about AI-Accelerated simulation solutions.
Nicolas Rasamimanana
R&D Director at Ansys
11:10 AM - 11:35 AM
11:10 AM - 11:35 AM
Ansys Fluent’s Journey to GPU Computing
Rongguang Jia
Distinguished Engineer at Ansys
Ansys Fluent’s Journey to GPU Computing
11:10 AM - 11:35 AM EDT
Graphical processing units (GPUs) are revolutionizing scientific computing. As the most popular commercial computational fluid dynamics (CFD) software in the world, Ansys Fluent is adapting to this new environment, which is challenging due to its feature richness and large user base. This presentation will cover how Ansys is engineering this software transformation with accuracy, performance, and usability.
Download the Fluent Free Trial Now.
Rongguang holds a PhD in Mechanical Engineering, working at Ansys since 2004. His focus has been on HPC in computational fluid dynamics (CFD), and optimized Ansys Fluent to run on 200k cores with good scalability. Recently, his emphasis has been on GPU computing with Fluent, and serving as the Fluent GPU Solver Project Manager.
11:10 AM - 11:35 AM
11:10 AM - 11:35 AM
The Fluent GPU Solver: Unprecedented Speed and Scale For Your CFD Studies
Jeremy McCaslin
Senior Manager Product Management at Ansys
The Fluent GPU Solver: Unprecedented Speed and Scale For Your CFD Studies
11:10 AM - 11:35 AM EDT
With the Fluent GPU solver, engineers can explore complex fluid dynamics scenarios with unparalleled speed and scale, gaining deep insights into the behavior of liquids and gases in diverse environments. With robust numerical algorithms and advanced models that comprise the gold standard accuracy of Fluent, engineers can trust that their simulations reflect real-world physics with utmost fidelity. Whether simulating flows in aerospace, automotive, energy, or biomedical applications, Fluent sets the standard for precision, speed and reliability. In this presentation we will cover the latest updates to the Fluent GPU Solver available to you in 2024 R1, the latest application use cases, performance expectations relative to your traditional CPU hardware, and teasers of what is still to come.
Jeremy McCaslin
Senior Manager Product Management at Ansys
Jeremy McCaslin is based in the Irvine, CA office of Ansys and manages the Fluids Product Management team. He holds a B.A. in Physics from Covenant College, a M.S. in Mechanical Engineering from the University of Colorado at Boulder, and a Ph.D. in Mechanical Engineering from Cornell University. With over a decade of experience in both R&D and application of numerical methods, Jeremy has worked within a broad range of areas utilizing CFD. His areas of expertise and interests include external aerodynamics, multiphase interface dynamics, and bio-inspired fluid dynamics.
11:25 AM - 11:50 AM
11:25 AM - 11:50 AM
Enabling Digital Transformation for the Defense Market
Steven Geary
Senior Director for Strategy & Engineering Technology, Integrated Defense Solutions, Intelligence and Security Sector at BAE Systems Inc.
Kimberly Bergner
Integrated Defense Solutions Growth Leader, Intelligence and Security Sector at BAE Systems Inc.
Enabling Digital Transformation for the Defense Market
11:25 AM - 11:50 AM EDT
Delivery of today’s complex weapon systems requires a rigorous and consistent application of system engineering standards, underpinned by the appropriate digital tools, to demonstrate readiness and rapidly deliver incremental capability. In recent years, that incremental capability has been viewed through the lens of multi-domain (or all-domain) operations. Multi-domain operations (MDO) unite capabilities across all domains of warfare, including land, sea, air, space, and cyberspace. To establish and maintain superiority in the increasing geopolitical environment, integration and synchronization of cross-domain operations is key to increase situational awareness, enhance operational flexibility, gain synergistic interoperability, enable accelerated decision making, and fluidly convert directives into coordinated action. Because these objectives inherently depend on integration of complex independent systems, utilization of a digital engineering environment (DEE) to implement system of systems (SoS) methodology is critical to realizing the promise of superiority through MDO. These environments are comprised of a core set of model-based systems engineering (MBSE), modeling and simulation (M&S), analysis, and product management tools which are augmented by a suite data management, visualization, and collaboration tools designed to enhance user experience. Through our partnership with Ansys, we will discuss our experiences in delivering secure digital frameworks that empower cross-functional teams to make data-driven decisions.
Read the press release about how Ansys joining BAE Systems' Mission Advantage Program to advance digital engineering across the US Department of Defense.
Steven Geary
Senior Director for Strategy & Engineering Technology, Integrated Defense Solutions, Intelligence and Security Sector at BAE Systems Inc.
Steven blends strategic vision with technical expertise to drive the Integrated Defense Solutions business technical innovation and growth. With a proven track record in leading cross-functional teams in both the commercial and defense sectors, Steven accelerates the adoption and insertion of emerging technologies, including digital transformation, in the defense market.
11:25 AM - 11:50 AM
11:25 AM - 11:50 AM
Accelerating Engineering Simulations with High Performing Ansys Solvers on AWS
Dnyanesh Digraskar
Principal HPC Partner Solution Architect at Amazon Web Services
Accelerating Engineering Simulations with High Performing Ansys Solvers on AWS
11:25 AM - 11:50 AM EDT
Customers across various industries use complex engineering simulation workflows for their product modeling and design processes. Depending on the use case, physics involved, and model complexity, simulations have different requirements in terms of compute, storage, network in order to execute at high speeds. Cloud computing offers instant access to the building blocks for high-performance computing (HPC) infrastructure used to accelerate simulations for faster time to design. In this session we describe how users can take advantage of latest AWS HPC technologies and run Ansys applications for various physics and use cases such as Fluids, Structures, Crash, and Electromagnetics. We summarize Ansys application performance on various Amazon EC2 instances and provide best practice recommendations for running them on AWS infrastructure.
Accelerating Engineering Simulations with High Performing Ansys Solvers on AWS.
Dnyanesh Digraskar
Principal HPC Partner Solution Architect at Amazon Web Services
Dnyanesh Digraskar is a Principal HPC Partner Solutions Architect at AWS. He leads the HPC implementation strategy with AWS ISV partners to help them build scalable well-architected solutions. He has more than fifteen years of expertise in the areas of CFD, CAE, Numerical Simulations, and HPC. Dnyanesh holds a Master’s degree in Mechanical Engineering from University of Massachusetts, Amherst.
Analog/RF IC design methodologies has been traditionally considered an art – sometimes even a “black art” – because in contrary to digital IC design methodologies, analog/RF design combines complexity, non-linearity, conflicting design objectives and limited automation in EDA tools. Analog/RF IC designers rely on a blend of technical expertise, intuition, accumulated experience and creativity to meet the very demanding targets of modern applications like very high operating frequencies, low power, miniaturization and shrinking design cycles. Ansys introduces a revolutionary AI-driven methodology for the optimization of the floorplan of analog and RF physical layouts according to user-defined metrics and goals. The methodology is tailored to the leading design flows and applies equally well at device-, block- and chip-level. Designers are able to shorten the design, floorplanning and optimization cycles of custom layouts by orders of magnitude - from several days or weeks to a few hours or days – and at the same time identify the global optimum that satisfies their design constraints and targets instead of settling for just a locally optimum solution.
Learn more about AI-Accelerated simulation solutions.
Kelly Damalou
Product Manager, On-die Electromagnetic Simulation at Ansys
For the past 20 years Kelly Damalou has worked closely with leading semiconductor companies, helping them address their electromagnetic challenges. Prior to becoming a Product Manager, she held several positions both in Product Development and Field Operations. Kelly holds a diploma in Electrical Engineering from the University of Patras, Greece, and an MBA from the University of Piraeus, Greece.
11:25 AM - 11:45 AM
11:25 AM - 11:45 AM
Intelligent Engineering in the Era of AI: Perspectives and Opportunities
Ralf Lampert
Global Sales Director at Ansys
Intelligent Engineering in the Era of AI: Perspectives and Opportunities
11:25 AM - 11:45 AM EDT
Artificial Intelligence (AI) is being used in engineering simulation to improve the design and optimization of complex systems, particularly in scenarios where creating and analyzing a vast design space is challenging. AI not only speeds up the design process but also leads to more innovative and efficient solutions, what we describe as Intelligent engineering solutions. AI enhanced engineering simulation is very valuable in many industries where optimizing designs for performance and efficiency is critical, especially when new designs are mainly incremental changes of their previous versions. In this presentation, we’ll introduce the Ansys Intelligent Engineering Projects, a holistic solution to quickly adjust new designs to newly upcoming or changing requirements by leveraging previous information through AI. To achieve such a valuable solution technical domains and capabilities like physics-based simulation, automation, machine learning and optimization are assembled perfectly to deploy a scalable web-based application through a data management platform to ensure data integrity, oversight, and governance.
Learn more about AI-Accelerated simulation solutions.
Ralf Lampert
Global Sales Director at Ansys
Ralf Lampert is a Global Sales Director for Optimization and AI/ML solutions at Ansys and holds a Master’s degree from the Technical University Vienna, Austria. Ralf has more than 10 years of experience in the fields of physics-based simulation, design automation & exploration as well as optimization, AI/ML and simulation democratization. After several years as pre-sales application engineer at Dynardo GmbH he led their expansion to the North American market in 2018, which after a successful market-entry ended with his acquisition in 2019. He became a product expert in the sales department for Ansys optiSLang and now oversees Ansys’ Optimization, AI/ML products globally.
11:25 AM - 11:45 AM
11:25 AM - 11:45 AM
Designing for Sustainability with an Authoritative Source of Materials
Alex Berry
Manager Application Engineering at Ansys
Designing for Sustainability with an Authoritative Source of Materials
11:25 AM - 11:45 AM EDT
Materials are central to any company’s journey to net zero. Products are being developed by teams that need to consider materials that meet performance, cost and environmental considerations as well as shifting customer attitudes. But many of these engineers are unaware of the sustainability impact of their material selection. These considerations need to be made at the beginning, not the end of the design process to avoid costly re-design and delays to product launch. Using a material management framework, reference data and analysis tools it is feasible to make proactive data-driven decisions on materials at the earliest stages of design. This includes rapid, detailed analysis of products, identifying alternative materials and publishing preferred materials lists that include sustainability indicators. By having a single authoritative source of materials truth across a business and value chain, engineers (who may not have the authority or knowledge to introduce new materials) can select from a list of preferred materials. They have real-time visibility of the impact of their material choices for a product at all stages of the product lifecycle, and all within their native CAD/PLM/Simulation environment.
Learn more about Materials Intelligence for Sustainability.
Alex Berry
Manager Application Engineering at Ansys
Alex Berry has worked at Ansys for 5 years coming from the acquisition of Granta Design. He currently leads the business development team for materials and simulation data management. During his time at Ansys he has focused heavily on the high tech and FA+D industry from his home base in Seattle, WA. Alex has a background in materials engineering working on additive manufacturing of 3D tissue constructs. He received his BS in Chemical Engineering from the University of California at Santa Barbara and MS in Materials Engineering from Stanford University.
11:35 AM - 12:00 PM
11:35 AM - 12:00 PM
Recent Advancements for Solving Large Assembly Models in Ansys Mechanical
Yongyi Zhu
Distinguished Engineer at Ansys
Recent Advancements for Solving Large Assembly Models in Ansys Mechanical
11:35 AM - 12:00 PM EDT
Simulation of large assemblies is becoming more and more common in today´s race for better, cheaper, and safter products. Due to its complexity, this type of simulation is very demanding on the use of any finite element software. Performing simulations have gone from a single or multiple parts to now starting from several components up to a whole system. Assembly models consist of not only connections between solid-to-solid, shell-to-solid, and shell-to-shell, but also components such as spot welds, joints, fasteners, and bolt-threads. Which causes the finite element model size to increase from a hundred thousand degrees of freedom (DOF) to over 200 million DOFs. Thanks to advances in high performance computing (HPC) power and finite element analysis (FEA) technologies, numerical modeling of large assembly models has become feasible, and solvable, within a day. This presentation will cover Ansys Mechanical’s state-of-the-art modeling techniques for solving large assembly models in terms of capacity, accuracy, robustness, performance, and automation.
Learn more about Ansys Mechanical.
Yongyi Zhu
Distinguished Engineer at Ansys
Yongyi Zhu received his Ph.D. in Computational Mechanics from University of Liege, Belgium, in Dec. of 1992. Then he joined Oak Ridge National Laboratory in two years as a postdoctoral research fellow. Dr. Zhu has more than 28 years of working experience in ANSYS in the field of nonlinear computational mechanics. As a Distinguished Engineer and a team lead in ANSYS, he takes responsibility for finite element developments in the areas of contact mechanics, nonlinear transient dynamics, multi-body dynamics. His developments on the leading edge of contact analysis technologies have been well recognized by industries.
11:35 AM - 11:55 AM
11:35 AM - 11:55 AM
Create Accurate Viscoplastic Material Models using MCalibration
Jorgen Bergstrom
Ansys Fellow at Ansys
Create Accurate Viscoplastic Material Models using MCalibration
11:35 AM - 11:55 AM EDT
Many commercial products include rubbers, thermoplastics, adhesives, or other polymer materials. One characteristic of these materials is that they exhibit non-linear viscoplasticity in most environmental conditions. Accurate FE modeling of these products therefore requires a carefully selected and calibrated material model. In this presentation I will first talk about what types of experimental data are required, and then demonstrate how you can use the MCalibration software to convert the experimental data into accurate material models that can be used in Ansys Mechanical or LS-DYNA.
Dr. Jorgen Bergstrom received his PhD from M.I.T. in the field of mechanical behavior of polymer materials. Dr. Bergstrom worked as a technical consultant for 20 years, until three years ago when he started PolymerFEM LLC, a company specializing in material modeling software. PolymerFEM is now part of Ansys.
11:45 AM - 12:10 PM
11:45 AM - 12:10 PM
ML-enabled Optical Side-channel Detection on Security Chip
Henian Li
Graduate Research Assistant at University of Florida
ML-enabled Optical Side-channel Detection on Security Chip
11:45 AM - 12:10 PM EDT
Optical side-channel analysis poses a significant threat to the security of integrated circuits (ICs) by enabling the disclosure of secret data, such as encryption keys. In our work, we present a multiphysics simulation framework of optical side-channel analysis from the layout database of a fabricated testchip. By leveraging accurate device models and electro-photonic physics, our framework models the photon emission behavior in ICs and enables the statistical correlation of emitted photon patterns with secret keys. In our presented solution, we begin by analyzing the device's layout under test and simulating the channel current of NMOS devices under various stimuli. By generating photon images based on pre-characterized models, we overlay individual photon images on the connected polysilicon ground metal. Through lossless image processing, we extracted photon intensity patterns from collected photon emission heatmaps and then performed correlation-based photon emission analysis (CPEA) to disclose the security key byte by byte. Our framework enables IC designers to assess the risks associated with optical side-channel attacks and develop efficient countermeasures at the pre-silicon stage.
Learn more about AI-Accelerated simulation solutions.
Henian Li
Graduate Research Assistant at University of Florida
Henian Li received his B.S. degree in integrated circuits and integration system from Hefei University of Technology, China, and joined University of Florida in 2019, where he is currently pursuing the Ph.D. degree with the Department of Electrical and Computer Engineering, under the supervision of Dr. Mark Tehranipoor. His current research interests include hardware security, fault-injection countermeasures, side-channel assessment, and secure scan.
11:45 AM - 12:10 PM
11:45 AM - 12:10 PM
Enhancing AI-Based Perception Testing for Autonomous Systems
Lionel Bennes
Lead Product Manager AVxcelerate at Ansys
Enhancing AI-Based Perception Testing for Autonomous Systems
11:45 AM - 12:10 PM EDT
This session delves into a practical approach for safety by validation of Autonomous Vehicles perception systems, based on trustable, physically accurate sensors simulation approach. With the increasing complexity of Level 3 and above Operation Design Domains (ODD), traditional testing methods face limitations. We present a unified solution, merging Ansys AVxcelerate's sensor simulation with NVIDIA DriveSim, enabling comprehensive evaluation of sensors and their perception systems in diverse scenarios. The synthetic data produced facilitates a robust safety case, reducing the need for on-road testing. Thanks to the real time aspect of sensors simulation, this approach can be deployed for SiL and HiL testing. Emphasis will be on GPU-accelerated radar simulation using a real time, physically accurate approach, offering precise modeling of signal propagation. Specific safety critical radar edge cases simulations will be highlighted.
Learn more about AI-Accelerated simulation solutions.
Lionel Bennes, PhD, serves as lead product manager for AVxcelerate products at Ansys. Lionel has more than 10 years of experience in optical and real-time simulation, mainly in the automotive and A&D fields. He has overseen the design and development of headlamp and sensors products, leveraging a unique combination of real-time rendering techniques combined with physics-based optical simulations.
11:45 AM - 12:05 PM
11:45 AM - 12:05 PM
Models That Tell the Story
Christopher Burns
Digital Engineer at SAIC
Models That Tell the Story
11:45 AM - 12:05 PM EDT
In the ever-increasing complexity of Digital this and Digital that, we rush to model everything, but lack the connective tissue as to what is the goal of the exercise. This presentation attempts to ground modeling and simulation efforts and practitioners in a systematic level of thinking like storytelling. While reminding us to remember the “why are we modeling” before we focus on the “how we model something”.
Unlock the power of digital engineering and try Ansys STK today!
Christopher Burns is a Digital Engineer and Model Based Systems Engineer with SAIC. His career experiences range across all phases of the system life cycle with customers such as NASA, DoD, intelligence community, and commercial organizations. System design ranging from system inception/concept design, test, and evaluation through end-of-life extension programs using MBSE at core of the design process as the Single Source of Truth to build out Digital Threads.
11:50 AM - 12:10 PM
11:50 AM - 12:10 PM
Design Beyond Limits: Ansys Discovery's New Cloud-Connected Burst Compute
Justin Hendrickson
Director Product Management at Ansys
Design Beyond Limits: Ansys Discovery's New Cloud-Connected Burst Compute
11:50 AM - 12:10 PM EDT
Solve 1000 design variations in 10 minutes. The value of a simulation model comes from exercising it. Traditionally, large scale design studies, sensitivity analyses, and optimizations are expensive and time consuming to run, limiting their use to only high value applications and scenarios. Discovery combined with the Ansys Cloud seeks to remove the complexity, time, and cost associated with exploration, finally enabling the use of simulation to drive early design decisions where the impact on design performance and robustness is the greatest.
Attend this session to see a preview of Discovery’s distributed cloud compute service that can accelerate parametric studies in Discovery by 100x or more.
Learn more about our Ansys Cloud & HPC Solutions available.
Justin Hendrickson
Director Product Management at Ansys
Justin joined Ansys in 2015 through the acquisition of SpaceClaim. He has worked in product management roles for the last 15 years including responsibility for SpaceClaim, Discovery Live, and the current Discovery application. He is passionate about new technologies, user experience, and the transformative power of disruptive products.
11:50 AM - 12:15 PM
11:50 AM - 12:15 PM
The Importance of Digital Materials Information Management in Digital Engineering Transformation
Amandeep Singh Mhay
Technical Specialist - Digital Tools & Data at Rolls-Royce
The Importance of Digital Materials Information Management in Digital Engineering Transformation
11:50 AM - 12:15 PM EDT
Rolls-Royce has been on a multi-phase, multi-year journey to replace its legacy systems to secure its critical IP with the materials information management solution from Ansys, Granta MI. This episode tracks the key milestones as this solution was scaled within the enterprise and integrated across engineering tools like PLM, CAD and CAE. Bottom-line cost benefit drivers are also outlined – breaking down the £6.9m/annum savings the project secures through reduction of duplicate testing, efficiency improvements etc. Finally, a framework within Granta MI is described to outline how Rolls-Royce identify risk and manage regulatory obligations associated with their materials.
Transform your materials management today, tailored to your business. Get an assessment.
Amandeep Singh Mhay
Technical Specialist - Digital Tools & Data at Rolls-Royce
Amandeep Singh Mhay has a degree in Aerospace Engineering and Masters in Material Science from the University of Hertfordshire. He has been recognised for his contributions to materials engineering by the Institute of Materials, Minerals and Mining IOM3 by achieving his Chartership and Fellowship from the Institute. Amandeep has over 18 year experience in materials data management and analytics to produce design allowables, and holds the position as Technical Specialist in Digital Tools & Data at Rolls-Royce.
11:55 AM - 12:20 PM
11:55 AM - 12:20 PM
Meeting the Thermal Integrity Signoff Challenge for 3DIC
Murat Becer
Vice President at Ansys
Meeting the Thermal Integrity Signoff Challenge for 3DIC
11:55 AM - 12:20 PM EDT
2.5D and 3D-IC design has become an inflection point for EDA design. Multi-die silicon systems are not only larger than traditional ICs but also face design engineers with novel physical challenges that are not typically encountered with traditional monolithic IC design. The first and most important of these is managing heat and avoiding excessive temperatures. This presentation describes Ansys’ thermal analysis methodology for multi-die design and discusses critical input requirements like RTL activity from emulators, optimization techniques, system cooling, and foundry requirements. It also illustrates the value and importance of thermo-mechanical stress/warpage analysis as an essential part of multi-die design.
Murat Becer
Vice President at Ansys
Murat Becer is the Vice President of Research and Development for Semiconductor Products at Ansys, bringing over 25 years of industry expertise. His leadership spans across semiconductors, EDA companies, and start-ups, providing him with a profound understanding of both technical and business aspects of the industry. This extensive background has been pivotal in spearheading cutting-edge solutions and fostering impactful strategies. Murat's dedication to excellence and innovation remains steadfast, further solidifying Ansys' leadership in the semiconductor realm. He holds a PhD degree from the University of Illinois at Urbana-Champaign.
12:00 PM - 12:40 PM
12:00 PM - 12:40 PM
RaptorX: A Silicon-optimized Electromagnetic Solver
Kostas Nikellis
Director R&D at Ansys
RaptorX: A Silicon-optimized Electromagnetic Solver
12:00 PM - 12:40 PM EDT
Silicon integration technology and associated devices have undergone an impressive evolution over the last decades. Device and circuit density increase due to CMOS devices' physical scaling and expansion in the Front-End-of-Line (FEOL) and passive devices in the Back-End-of-Line (BEOL). Silicon integrated devices are ruled by complex electromagnetic (EM) effects, including electric and magnetic field coupling and interaction with the semiconductor bulk substrate. As chips grow, complexity, operating frequency, and integration techniques push integration boundaries from 2D SoCs to 3D stacked ICs. Consequently, it becomes critical to accurately analyze electromagnetic coupling to ensure optimal performance of your designs. This presentation focuses on Ansys RaptorX, the hybrid solver that powers the Ansys silicon-optimized electromagnetic simulation portfolio. Starting from Maxwell's equations, the fundamentals of the modeling methodology are presented and explained. Attendees will have a chance to understand how and why the combination of Partial Element Equivalent Circuit and Random Walk solvers into a single hybrid method (PEEC-RW) can provide accurate and efficient models for modern SoC and 3D IC designs.
Get Started with RaptorX Today.
Dr. Kostas Nikellis is responsible for the evolution of the electromagnetic modeling engine for high speed and RF SoC silicon designs. He has a broad background in electromagnetic modeling, RF and high-speed silicon design. He holds a diploma and PhD in Electrical and Computer Engineering from NTUA, Athens and an M.B.A. from University of Piraeus.
12:05 PM - 12:25 PM
12:05 PM - 12:25 PM
Connecting MBSE to Operations via Hybrid Digital Twins
Sameer Kher
Senior Director, Product Development at Ansys
Connecting MBSE to Operations via Hybrid Digital Twins
12:05 PM - 12:25 PM EDT
Ansys' MBSE solutions help connect the key organizational silos of engineering design and product operations, improving both the bottom-line costs and top-line profitability for the organization. Digital Twins are a key component of that solution, helping bridge the gap between the design and operations processes. With Digital Twins, design knowledge can be used to improve product operations and conversely, field behavior can be used to improve product design. Hybrid techniques, that combine domain knowledge using physics-based simulation with real-world data using AI/ML techniques, to create accurate evolving Hybrid Digital Twins, are critically important to making this vision a reality. In this talk, we will show how Hybrid Digital Twins help customers quickly realize the promise of MBSE.
Learn how Hybrid Digital Twins help customers realize the promise of MBSE.
Sameer Kher, M.S., M.B.A is currently Senior Director, Product Development at Ansys, where he is responsible for Digital Twin and System Simulation activities. Most recently, Sameer was responsible for the conception and launch of Twin Builder, an award-winning, first-of-its-kind product that enables the use of simulation in operations. He has a background in engineering with a BS in Electronics from the University of Pune, an MS in Computer Engineering from the University of Cincinnati, and an MBA from Carnegie Mellon University.
12:10 PM - 12:35 PM
12:10 PM - 12:35 PM
Ansys AI/ML Solutions for Process Manufacturing
Hossam Metwally
Senior Principal Engineer at Ansys
Ansys AI/ML Solutions for Process Manufacturing
12:10 PM - 12:35 PM EDT
Simulation has been extensively used in the Process Manufacturing space for decades. Process Manufacturing includes the Chemical Industry, Pharmaceutical, Food & Beverage, as well as Consumer Products. While these industries are very diverse dealing with different products, common themes like scale up/scale down, asset optimization, process stability/control, and new product introduction using existing/retrofitted assets are shared among them. In this presentation, the three pillars of Ansys AI will be introduced through case studies focusing on the Process Manufacturing space. Using the latest AI/ML technology, case studies presented include asset optimization, model calibration for better system modeling, uncertainty quantification towards a more stable process, and reduced order model (ROM) generation that can either be used as an offline system model or an online digital twin. Ansys SimAI will also be discussed which is a novel technology that allows the prediction of new asset performance purely based on historical data of similar assets using AI/ML techniques. Finally, AnsysGPT will be demonstrated highlighting how it can be used to dig deeper into the wealth of public Ansys documentation/training/best practices data guiding both novice and expert users to make the most of their available resources.
Learn more about AI-Accelerated simulation solutions.
Hossam Metwally
Senior Principal Engineer at Ansys
Dr. Metwally is currently serving as the North American Industry Team Lead focusing on Chemical, Pharma, and Consumer Products. He is leading a team of engineers developing new solutions and workflows. Dr. Metwally is a regular contributor and attendee at AIChE and he has been with Ansys for 23 years.
12:10 PM - 12:35 PM
12:10 PM - 12:35 PM
Sponsor Session: Why Customers are Choosing to Run Simulations on AWS cloud
Sandeep Sovani
Global GTM Head of Engineering Simulation HPC at Amazon Web Services
Sponsor Session: Why Customers are Choosing to Run Simulations on AWS cloud
12:10 PM - 12:35 PM EDT
Customers are increasingly choosing to run their engineering simulations on AWS in order to benefit from the economy of scale, business agility, and sustainability benefits that the cloud provides. The cloud provides resource elasticity, agility to build up and build down compute clusters with fully managed services, access to latest compute technologies, and disaster resilience. While startup companies are typically “born in the cloud,” SMB and enterprise customers, who have traditionally maintained on-premises data centers for their engineering simulation workloads, are increasingly taking a “cloud first” approach. A tectonic shift is underway among SMB and enterprise customers of moving their engineering simulation workloads to the cloud. AWS provides cloud native tools such as AWS Research and Engineering Studio, AWS ParallelCluster, and AWS NICE DCV, to build and run large-scale simulation environments on the cloud. Likewise, through the AWS-Ansys strategic partnership, Ansys provides Ansys Gateway powered by AWS that enables customers to quickly access cloud resources for their simulations. In this talk we will review the why and how of running engineering simulations on the cloud.
Learn more about our Ansys Cloud & HPC Solutions available.
Sandeep Sovani
Global GTM Head of Engineering Simulation HPC at Amazon Web Services
Dr. Sovani has worked for over two decades at high-tech companies with focus on Simulation and High Performance Computing (HPC). At Amazon Web Services (AWS), he is responsible for the company's go-to-market for the Engineering Simulation segment on a worldwide basis. In this role, he has helped dozens of customers around the world, from startups to mega enterprises, in their journey to the cloud, and has enabled numerous partner companies in growing their businesses on the cloud. Prior to AWS, Dr. Sovani served for nearly a decade as the Global Director for the Automotive Industry at Ansys Inc – the world's largest engineering simulation software company. Prior to Ansys he worked at Fluent – the Computational Fluid Dynamics (CFD) company – and at Tata Motors. He has made numerous contributions to simulation technology for Electric Vehicle (EV), Autonomous Vehicle (AV), and Fluid Dynamics applications. Dr. Sovani holds a Ph.D. in Mechanical Engineering from Purdue University. He has authored more than 40 papers, articles, reports and has delivered numerous invited lectures at academic and industry conferences. He was the founder and chair of the global conference – Automotive Simulation World Congress. He is the recipient of Lloyd Withrow Distinguished Speaker Award from the Society of Automotive Engineers.
12:10 PM - 12:35 PM
12:10 PM - 12:35 PM
Accelerating Electromagnetic Component Design with AI/ML
Peng Han
Lead Application Engineer at Ansys
Accelerating Electromagnetic Component Design with AI/ML
12:10 PM - 12:35 PM EDT
Electromagnetic devices are everywhere in our daily lives, ranging from consumer electronics, home appliances to electric vehicles and electric aircraft. Traditional simulations of electromagnetic components rely heavily on numerical methods, such as the finite element method and boundary element method, just to name a few. With the advancements of scientific machine learning (ML), particularly the geometric deep learning and physics-informed ML, the governing equations of electromagnetic phenomena can now be solved more efficiently by combining the numerical solutions and artificial intelligence (AI) and ML techniques. This presentation will showcase the workflow of using Ansys Maxwell, our gold standard electromagnetic simulation tool, together with Ansys SimAI for electromagnetic field training and prediction. The combination transforms the design and analysis of electromagnetic components by reducing the field prediction time by tens to hundreds of times. Three typical examples, one for the magnetic force prediction on PCB traces, one for the performance prediction of electric traction motors, and one for the magnetic field prediction produced by permanent magnets, are included to highlight the advantages of using Ansys Maxwell and Ansys SimAI. The workflow automation using python APIs and the integration of SimAI into AEDT are also discussed.
Learn more about AI-Accelerated simulation solutions.
Peng Han is now with Ansys as a Lead Application Engineer. He received the B.Sc. and Ph.D. degrees in Electrical Engineering from Southeast University, China, in 2012 and 2017, respectively. He was a Postdoctoral Researcher at The Ohio State University, and later University of Kentucky. His research interests include low-frequency electromagnetics in different applications.
12:15 PM - 12:40 PM
12:15 PM - 12:40 PM
Demolishing the Silos: Digital Engineering from Design Intent Through Disposal
Michael Vinarcik
Director Digital Architecture and Requirements Engineering at SAIC
Demolishing the Silos: Digital Engineering from Design Intent Through Disposal
12:15 PM - 12:40 PM EDT
Organizations responsible for developing complex cyberphysical systems have been developing and adopting digital engineering (DE) for more than a decade. The development of complete, consistent, model-based representations of design intent is foundational to the creation and rigorous use of end-to-end DE. DE also requires capable toolchains, appropriate configuration management processes, and a culture shift and upskilling of the workforce. This presentation will highlight key aspects of DE, a discussion of state-of-the-art and near-term capabilities, and tangible steps organizations can take to accelerate their digital transformation.
Michael Vinarcik
Director Digital Architecture and Requirements Engineering at SAIC
Michael J. Vinarcik, P.E., ESEP-Acq is a Director (Digital Architecture and Requirements Engineering) in SAIC's Engineering Innovation Factory, an adjunct professor at the University of Detroit Mercy and CIDESI (Mexico). He has over thirty years of automotive and defense engineering experience and presents regularly at national and regional conferences. Michael has contributed to several books, most notably Taguchi’s Quality Engineering Handbook and the MBSE chapter for the third edition of Systems Engineering: Principles and Practice. He is a Fellow of the Engineering Society of Detroit and the President and Founder of Sigma Theta Mu, the systems honor society.
12:20 PM - 12:45 PM
12:20 PM - 12:45 PM
This is Hans: The High-Fidelity Human Body Model
Alexander Gromer
Senior Manager, Application Engineering at Ansys
This is Hans: The High-Fidelity Human Body Model
12:20 PM - 12:45 PM EDT
Introducing HANS, a cutting-edge high-fidelity human body model designed to accurately simulate human responses in explicit simulations across diverse industries. With applications spanning automotive, aerospace, consumer products, and expanding into healthcare and beyond in the future, HANS offers a comprehensive solution to enhance product safety, development, and performance. Derived from scan data of an average adult male, HANS boasts meticulous detail, matching the AM50 size with a height of 176cm and a mass of 79kg (BMI 25.5). Distinctive in its focus on the musculoskeletal system, including precise modeling of bones, muscles, tendons, and ligaments, HANS ensures unparalleled accuracy in biomechanical simulations. HANS is setting a new standard for realistic human body dynamics.
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Alexander Gromer
Senior Manager, Application Engineering at Ansys
I got my Diploma in Mechanical Engineering in 2006 from the University of Stuttgart, Germany. After that, I started my career as a Project Engineer with DYNAmore. Main scope of work was occupant analysis and dummy model development. In 2017 I took the role of VP Engineering at DYNAmore Corp in Dublin, OH. Since 2021 I am working in the field of Human body modelling. Currently I am working as a Senior Manager at ANSYS and I am responsible for the Human body model development.
12:25 PM - 01:00 PM
12:25 PM - 01:00 PM
Demonstrating the Power of Digital Engineering with a Wildfire Detection Example
Max Housner
Field Application Engineer at Ansys
Demonstrating the Power of Digital Engineering with a Wildfire Detection Example
12:25 PM - 01:00 PM EDT
Join Max Housner as he demonstrates the Ansys technology available to establish a true digital thread, linking MBSE models to high-fidelity physics tools and mission simulators, in an open and extensible architecture, geared to accelerate development of digital twins and functional products. He will use an example multi-domain analysis, centered on a wildfire detection mission, to demonstrate an existing, connected technology stack that integrates high-fidelity specialized modeling software with a physics-based digital mission environment, creating a systems of systems analysis capability.
Unlock the power of digital engineering and try Ansys STK today!
Max Housner
Field Application Engineer at Ansys
Max Housner is a Field Application Engineer for Ansys based out on the West Coast. He works primarily on the digital mission engineering software side of Ansys, specializing in Ansys STK, with a background in computation and space systems engineering.
12:35 PM - 12:55 PM
12:35 PM - 12:55 PM
Leverage AI for Smarter Material Development
Charlie Bream
Principal Product Manager at Ansys
Leverage AI for Smarter Material Development
12:35 PM - 12:55 PM EDT
The development of materials is typically based on a combination of in-house expertise, built-up over many years of experience, and an element of trial and error as new concepts are tried and tested – resulting in high costs and long development times. The evolution of Artificial Intelligence (AI) opens-up the opportunity to avoid this traditional trial and error approach and short cut the material development process. However, the challenge for companies is that they often do not have the AI expertise or structured data required to achieve this. This session shows how these challenges can be overcome with the Granta MI AI+ solution that enables engineers to quickly gain in-sights from their in-house materials data leading to smarter and more focused material development.
Learn more about AI-Accelerated simulation solutions.
Charlie Bream
Principal Product Manager at Ansys
Charlie Bream is the Principal Product Manager for Materials R&D at Ansys - responsible for products that support AI/ML, ICME and sustainability initiatives. Charlie is a Materials Scientist by training, with many years of experience in the development of composite materials for use in the aerospace, automotive and acoustic industries.
12:35 PM - 12:55 PM
12:35 PM - 12:55 PM
Powering Innovation with “Bring your Own Cloud” - Marketplace offerings
Dr. John Baker
EMEA Cloud Business Development Manager at Ansys
Powering Innovation with “Bring your Own Cloud” - Marketplace offerings
12:35 PM - 12:55 PM EDT
In his keynote, Dr. John Baker, an experienced HPC System Administrator, will provide us with an overview of the challenges that our customers are facing in various industries, including Manufacturing, Electronics, and Automotive, aiming to remove the hardware barrier and achieve more efficient simulation at a better cost within a shorter timeframe. This presentation will deliver key insights applicable to companies of all sizes, from startups to enterprises, and will offer thoughts on the benefits of transitioning to a hybrid cloud approach. Dr. Baker's focus will be on the "Bring your Own Cloud" offerings, collaborating with industry-leading cloud service providers such as AWS (Amazon Web Services) or Microsoft Azure, and demonstrating how to efficiently deploy our tools in just a few minutes.
Learn more about our Ansys Cloud & HPC Solutions available.
PhD in Computational Chemistry from the University of Nottingham with a focus on GPU algorithms for molecular dynamics simulations. Passionate about HPC technologies and workflows with 10 years of HPC Infrastructure experience. Previous roles include supporting the HPC infrastructure for a famous motorsport company and the UK national supercomputer (ARCHER). Now John helps engineers gain the power of on-demand supercomputers in the cloud to simulate bigger and better than they could before.
12:35 PM - 12:55 PM
12:35 PM - 12:55 PM
Dataflow Development and Machine Learning for Nanoindentation Data Analysis
David Mercier
Senior R&D Project Manager at Ansys
Dataflow Development and Machine Learning for Nanoindentation Data Analysis
12:35 PM - 12:55 PM EDT
Nanoindentation is a widely adopted technique for investigating the mechanical properties of materials at the nanoscale. In recent years, there has been a growing interest in applying machine learning (ML) algorithms to enhance the analysis of nanoindentation data, enabling more accurate and efficient characterization of material behavior. This abstract presents a study on nanoindentation data analysis using an automated dataflow combining materials data management and ML algorithms. The research leverages experimental data captured in Granta MI software, a powerful platform that integrates material information management and analysis capabilities. Specifically, the study focuses on utilizing the Python scripting toolkit provided by Granta MI to implement a dataflow development approach for nanoindentation data analysis within the framework of the EU funded Nanomecommons project (https://cordis.europa.eu/project/id/952869). The experimental data consists of indentation force-displacement curves obtained from various materials subjected to nanoindentation tests. These curves contain valuable information about the material's mechanical response and can be used to extract important mechanical properties such as hardness and elastic modulus. The study explores the implementation of ML algorithms within the dataflow development approach to automate the analysis of nanoindentation data. By leveraging the Python scripting toolkit of Granta MI, the researchers develop custom data processing workflows that enable seamless integration of ML algorithms for predicting material properties based on the force-displacement curves. Preliminary results demonstrate the effectiveness of the proposed dataflow development approach in accurately predicting material properties from nanoindentation data. The combination of Granta MI's robust data management capabilities and the flexibility of Python scripting allows for efficient data preprocessing, feature extraction, and model training. The successful implementation of ML algorithms within the dataflow development approach showcases the potential for advancing material characterization techniques, enabling researchers to rapidly analyze large amounts of nanoindentation data and extract valuable insights. This integration also promotes collaboration within the Nanomecommons project by facilitating the sharing and reproducibility of data analysis workflows. In conclusion, this study highlights the benefits of combining ML algorithms and dataflow development using the Python scripting toolkit of Granta MI for nanoindentation data analysis. The approach offers a powerful tool for accelerating material characterization, fostering collaboration, and advancing research within the Nanomecommons project and beyond.
Learn more about AI-Accelerated simulation solutions.
Dr. David Mercier completed his PhD in material science and engineering at the University of Grenoble (France) in 2012, specializing in the design of thin films tailored for applications in microelectronics. His journey then led him to enriching experiences through impactful postdoctoral research projects conducted in Germany (MPIE) and Belgium (CRM Group) between 2013 and 2018. During this period, his focus shifted to the realm of metallurgy, where he dedicated his efforts to multiscale modeling and the characterization of mechanical properties using cutting-edge techniques like nanoindentation. Notably, David played an active role in advancing nanoindentation data processing routines, showcasing his contributions on his GitHub page (https://github.com/DavidMercier). In 2018, David joined the UK company Granta Design, where he spearheaded collaborative initiatives with academics on materials education. After the acquisition of Granta Design by Ansys Inc., David transitioned into a pivotal role at the Office of the CTO as a Senior Collaborative R&D Project Manager. He has been at the forefront of leading European-funded projects, focusing on the development of innovative software solutions, particularly in the field of Integrated Computational Materials Engineering (ICME) and Material Informatics.
12:40 PM - 01:00 PM
12:40 PM - 01:00 PM
Multibody spacecraft trajectories: Another small step
Cody Short, PhD
Principal Astrodynamicist at Ansys
Jim Woodburn, PhD
Chief Orbital Scientist & Ansys Fellow at Ansys
Multibody spacecraft trajectories: Another small step
12:40 PM - 01:00 PM EDT
In this wide-ranging discussion, AGI Chief Orbital Scientist Jim Woodburn and Principal Astrodynamicist Cody Short explain how leveraging multibody dynamics for trajectory design has opened new avenues for spacecraft missions. As governments and private entities across the globe once again set their sight toward the Moon, they do so knowing that many small steps taken by countless space professionals have prepared the way to reprise humanity’s ventures to Earth’s solitary natural satellite. These compelling strides taken by engineers and scientists over the last several decades have positioned the space industry to effectively return to Moon and fully leverage the cislunar domain. This discussion will help to illustrate some of the extremely interesting multibody dynamics concepts that are embedded in the ongoing advancements.
Get started with STK today.
Cody is one of AGI’s technical leaders and enjoys participating in the American Astronautical Society (AAS). Cody holds a B.S. (physics-astronomy) from BYU along with M.S. and Ph.D. degrees from Purdue (astronautical engineering). Cody is a proud Eagle Scout serving in his sons' Scouting units and collecting unread comic books.
12:40 PM - 01:00 PM
12:40 PM - 01:00 PM
Sponsor Session: Sustainable Growth Through Digital Transformation
Srinath Jonnalagadda
Vice President, Industry Strategy Design & Manufacturing at Autodesk, Inc.
Sponsor Session: Sustainable Growth Through Digital Transformation
12:40 PM - 01:00 PM EDT
What does digital transformation mean to the product design and manufacturing industry? Every manufacturing company is as unique as the products they make and the markets they serve. Today’s manufacturing industry is beset with increased customer demand, driving companies to deliver more innovation with faster product release cycles while maintaining profitability. In this presentation, Autodesk VP of D&M Industry Strategy, Srinath Jonnalagadda explores how digital transformation can help firms tackle the challenges of being stretched beyond the breaking point – managing inefficient processes, multiple data formats, and manual systems. He’ll also present how the strategic partnership between Autodesk and Ansys bridges design-to-make workflows and performance-driven insights, enabling engineers to quickly design and manufacture better-performing, more sustainable products.
Srinath Jonnalagadda
Vice President, Industry Strategy Design & Manufacturing at Autodesk, Inc.
Srinath Jonnalagadda is the Vice President responsible for Industry Strategy for the Design & Manufacturing business at Autodesk. Srinath has over 28 years of experience in the Mechanical CAD industry, 23 of which are with Autodesk. Prior to his current position, he held a variety of roles across D&M GTM, Inventor Engineering, and Business Models & Pricing. During his time in D&M GTM, he drove business growth for Fusion 360; formed meaningful relationships with market-leading partners such as Haas Automation, Apple, Microsoft, McMaster, Protolabs, and Xometry; created new business models for our product lines; established innovative new processes to gain richer insights from analytics.
12:45 PM - 01:05 PM
12:45 PM - 01:05 PM
Closing the Skills Gap in the Existing Workforce to Leverage the Power of Simulation
Rajesh Bhaskaran
Swanson Director of Engineering Simulation at Cornell University
Closing the Skills Gap in the Existing Workforce to Leverage the Power of Simulation
12:45 PM - 01:05 PM EDT
Democratization of simulation will enable design engineers and other non-specialists to leverage the power of simulation earlier in the design cycle leading to better products. There are two elements to this democratization. First, the tools need to become easier to use. This is already happening with products such as Ansys Discovery. Second, the educational ecosystem needs to better prepare non-specialists to combine the art of design with the science of simulation. It is not necessary for non-specialists to learn the details of the relevant math and physics since the simulation tool takes care of the nitty-gritty. However, it is vital for them to develop a deep conceptual understanding of the underlying fundamentals to avoid “garbage in, garbage out.”
At Cornell, we have developed two hands-on online certificate programs on finite-element analysis (FEA) and computational fluid dynamics (CFD) targeted at working professionals. They enable non-specialists to learn both the science and practice of simulation efficiently in a holistic fashion. The certificates use problem-based learning to teach both the underlying big ideas and the use of simulation tool in an integrated fashion. The FEA certificate uses Ansys Mechanical and the CFD certificate uses Ansys Fluent.
Each certificate consists of five courses, with most courses being designed around one or two example problems that have been defined in collaboration with Ansys to be industry relevant. For instance, a realistic pressure vessel example is used as a platform to help the leaner develop a deep conceptual understanding of 3D elasticity and its application to practical problems using Ansys Mechanical. The underlying concepts for each example are taught just-in-time so that the learner can readily connect them to what they are doing in Ansys.
Within each certificate, courses are offered in two-week segments to accommodate professionals’ work schedules. A course facilitator provides help, answers learners’ questions and does the grading. Learners can also get help from others in their small cohort through the discussion board. Graded work involves turning in Ansys-based solutions and explanations to example and challenge problems. This is in addition to the quizzes following instructional videos which are multiple-choice and automatically graded. By chunking the content into short videos and tightly integrating videos with assessments, the learning is active and engaging.
The videos and assessments in the certificates are also used in regular Cornell courses where they enable classroom time to be used for mentoring students on open-ended Ansys-based design projects. Thus, we serve both working professionals and college students using the same material. This helps expand the impact and realize our vision of transforming the educational ecosystem using the disruptive potential of online learning to democratize simulations.
Incorporate Ansys in Your Curricula.
Rajesh Bhaskaran
Swanson Director of Engineering Simulation at Cornell University
Rajesh Bhaskaran is the Swanson Director of Engineering Simulation in the Sibley School of Mechanical and Aerospace Engineering at Cornell University. His work seeks to promote the democratization of simulation through effective integration of industry-standard simulation software into engineering education. His vision is to create a new paradigm in engineering education by combining two disruptive technologies – simulations and online learning. He has helped introduce Ansys-based simulations into 17 Cornell engineering courses. About 282,000 people from 173 countries have enrolled in his massive open online course on simulations at edx.org; this course was a finalist for the edX prize. He has developed two online Cornell certificates in finite-element analysis and computational fluid dynamics for working professionals to learn practical simulations using Ansys tools. He has been awarded the Dennis G. Shepherd Prize for Excellence in Teaching by Cornell University. He holds a B. Tech degree from Indian Institute of Technology, Madras and a Ph.D. in Aerospace Engineering from Iowa State University.
12:55 PM - 01:15 PM
12:55 PM - 01:15 PM
AI-based Digital Twins
Matt Adams
Lead Product Specialist at Ansys
AI-based Digital Twins
12:55 PM - 01:15 PM EDT
Digital Twins must be accurate, adaptable, and scalable to meet industry needs. Simulation or data analytics alone often fall short in meeting these needs. AI/ML techniques are used to create Hybrid Digital Twins, which are a combination of simulation models and sensor data. These AI/ML techniques include building models of high-fidelity simulation behavior, calibrating and augmenting simulation models, and combining simulation and sensor data into hybrid models. Hybrid Digital Twins maximize the knowledge from both engineering and operations to achieve the accuracy and adaptability required to match dynamic field conditions.
Learn more about AI-Accelerated simulation solutions.
Matt is a Lead Product Specialist at Ansys specializing in machine learning methods to enhance physics-based simulation. Matt’s prior experience was in system level modeling in the automotive industry. His education is in physics where he used machine learning to study astrophysical data.
12:55 PM - 01:15 PM
12:55 PM - 01:15 PM
Geom-DeepONet: A Point-cloud-based Deep Operator Network for Field Predictions on 3D Parameterized Geometries
Jimmy He
Senior Application Engineer at Ansys
Geom-DeepONet: A Point-cloud-based Deep Operator Network for Field Predictions on 3D Parameterized Geometries
12:55 PM - 01:15 PM EDT
Modern digital engineering design process commonly involves expensive repeated simulations on varying three-dimensional (3D) geometries. The efficient prediction capability of neural networks (NNs) makes them a suitable surrogate to provide design insights. We present a novel deep operator network (DeepONet) variant called Geom-DeepONet, which encodes parameterized 3D geometries and predicts full-field solutions on an arbitrary number of nodes. A numerical benchmark was conducted to compare Geom-DeepONet to PointNet and vanilla DeepONet, where results show that our architecture trains fast with a small memory footprint and yields the most accurate results among the three with less than 2 MPa stress error. Results show a much lower generalization error of our architecture on unseen dissimilar designs than vanilla DeepONet. Once trained, the model can predict vector solutions, and speed can be over 10^5 times faster than implicit finite element simulations for large meshes. The ability of the proposed model to perform efficient and accurate field predictions on variable 3D geometries, especially those discretized by different nodes and elements, makes it a valuable tool for preliminary performance evaluation and design optimizations.
Learn more about AI-Accelerated simulation solutions.
Jimmy He
Senior Application Engineer at Ansys
Junyan ‘Jimmy’ He is a recent graduate from the University of Illinois at Urbana-Champaign. He obtained his Ph.D. in Mechanical Engineering in 2023 with a focus on finite element simulations and machine learning. He started with Ansys in 2022 and works on Crystal Plasticity, ICME, Machine Learning and Workflow Automation.
12:55 PM - 01:15 PM
12:55 PM - 01:15 PM
Drive innovation and efficiency in product development with NVIDIA accelerated computing
Ian Pegler
Global Business Development - CAE at NVIDIA
Drive innovation and efficiency in product development with NVIDIA accelerated computing
12:55 PM - 01:15 PM EDT
Harness the power of NVIDIA GPUs to accelerate complex simulations and enhance overall productivity. Empower designers and engineers with faster time to insight and the ability to easily tackle even larger and more intricate simulations. An overview of the NVIDIA platform will be provided including the GPUs most suited to accelerating Ansys applications. Customer examples from Leonardo will also be shown to demonstrate real world performance gains. Finally, accessing GPUs via Ansys Gateway powered by AWS will be discussed.
Learn more about our Ansys Cloud & HPC Solutions available.
Ian graduated from the University of Southampton in the UK with a master’s degree in aerospace engineering. Formally a CFD Application Engineer, Ian now head-up business development for CAE at NVIDIA. Outside work Ian is a keen runner, programmer, and enjoys skiing. Ian is based in Chicago.
01:00 PM - 01:45 PM
01:00 PM - 01:45 PM
Fireside Chat: The Evolution of Digital Engineering
Olaf Kath
Vice President Product at Ansys
Jane Trenaman
Vice President Portfolio Product Management at Ansys
Mark Hindsbo
Vice President and General Manager Product at Ansys
Andy Ko
Director Ansys Customer Excellence at Ansys
Fireside Chat: The Evolution of Digital Engineering
01:00 PM - 01:45 PM EDT
Could the route to 'happy engineering' be Digital Engineering? We bring together three VPs of product at Ansys for an informal fireside chat to talk through what Digital Engineering is, why people are paying particular attention to it, and how it is evolving.
Olaf Kath
Vice President Product at Ansys
Dr. Olaf Kath received his PhD in 2001 from the Humboldt-Universität in Berlin, at the institute for computer sciences. From 2001 onwards he engaged in the introduction of tool supported model-based technologies and methodologies into safety & security assurance processes. He is a functional safety expert with detailed knowledge and experiences in methods, processes, and tools for functional safety according to state-of-the-art standards. He has a long year’s track record in the definition of safety concepts and the application of safety analysis methods as well as in software architectures. Today he is with Ansys Germany GmbH as VP Product responsible for the Safe Systems, Digital Twins & PIDO product lines as well as leading the Ansys Model-based Systems Engineering efforts.
01:00 PM - 01:20 PM
01:00 PM - 01:20 PM
New Material Discovery through Multiscale Modeling
Andrea Browning, PhD
Director - Polymers and Soft Matter at Schrödinger, Inc.
New Material Discovery through Multiscale Modeling
01:00 PM - 01:20 PM EDT
To help transform materials for the next generation of engineering applications, Schrödinger and Ansys have come together to enable Integrated Computational Materials Engineering for our customers. This collaboration combines virtual screening and testing of chemistries with material-to-product and product-to-system modeling and simulation solutions. This presentation will show how Schrödinger’s leading molecular simulation can be combined with Ansys’ leading continuum simulations to bridge materials-to-system design value chains, both within and between organizations, to ensure that the full life cycle of the material and product is evaluated early in the design process. Through case studies in carbon fiber composites and organic electronics, this presentation will illustrate how connecting chemistry to product can improve performance across length scales. Together, Schrödinger and Ansys enable the realization of multiscale modeling in a virtual environment, initiating a new generation of materials and process design.
Download the White Paper to learn more.
Andrea Browning, PhD
Director - Polymers and Soft Matter at Schrödinger, Inc.
Andrea Browning, Director for Polymers and Soft Matter, is responsible for leading efforts related to polymeric materials simulation and related materials. She brings over a decade of experience in utilizing molecular simulation to inform industrial research.
01:05 PM - 01:25 PM
01:05 PM - 01:25 PM
The Engineering ANSYS-ification Project
William (Bill) McBride
Deputy Head of School (Teaching and Learning) – School of Engineering at University of Newcastle (Australia)
The Engineering ANSYS-ification Project
01:05 PM - 01:25 PM EDT
The University of Newcastle, School of Engineering has a history of embedding computing tools within their degrees with the intent of producing work-ready graduates for today and tomorrow. As a school, we accept around 700 students per year into the combined engineering programs, with approximately 240 of those enrolled in the Mechanical, Mechatronic and Aerospace systems programs.
An essential element of modern engineering is the use of leading-edge engineering CAE software packages, such as ANSYS. We see an opportunity to consistently and comprehensively integrate CAE throughout the Mechanical, Mechatronics and Aerospace systems engineering programs, and to a lesser initial goal, extend this into our Medical Engineering and other engineering programs. Our commitment to CAE education commenced well over 25 years ago when we transitioned from ‘drawing boards’ to students having a full 12-week unit focusing on grounding students in Solids Modelling through the package now called CREO for all first-year mechanical & mechatronics students. Our history of using high-end CAE tools dates back much further to the 1980s and this has been enhanced over the years through a succession of industry-aware academics.
This project leverages the comprehensive nature of the ANSYS suite to create non-trivial touch points across and throughout the engineering degrees so that not only do students know a package can solve a problem, but they gain the skills sufficient to enable them to solve these problems. There is a balancing act within a time constrained degree to provide the appropriate underpinning theory and sufficient volume of time on task with interesting tasks to meet all the educational objectives, but this has always been the situation within engineering degrees.
Incorporate Ansys in Your Curricula.
William (Bill) McBride
Deputy Head of School (Teaching and Learning) – School of Engineering at University of Newcastle (Australia)
Professor Bill McBride has been a Mechanical Engineering academic for over 20 years following a 10 year career in industry facing research and design in the bulk materials handling field. Throughout his career Bill has looked to apply Computer Aided Engineering tools for the solution to a wide range of engineering problems. As an academic, Bill has continuously taught the application of computer aided design tools to Mechanical Engineering students across their studies, as well as holding a significant governance role across all engineering programs at University of Newcastle. Through the governance role Bill has a solid holistic perspective of engineering education which substantiates some of the perspectives presented in the presentation.
01:15 PM - 01:35 PM
01:15 PM - 01:35 PM
Concepts and Application Examples for optiSLang AI+
Dr. Bernd Büttner
Manager Application Engineering at Ansys
Concepts and Application Examples for optiSLang AI+
01:15 PM - 01:35 PM EDT
This presentation will show use-cases in which Machine-Learning and Neuronal Networks have been used to better understand which parameter influences a design performance and / or to find either better design. Before looking at these use-cases, the presentation will show how these Machine Learning Methods are linked to the Ansys AI strategy. Additionally, the basic background for the used Machine Learning and the AI- concept in general are provided. The use-cases will look on automotive applications e.g. a multi-objective optimization of a cooling channel configuration.
Learn more about AI-Accelerated simulation solutions.
Dr. Bernd Büttner
Manager Application Engineering at Ansys
Bernd has joined Ansys in 2017. Since than he has worked on different applications in the realm of Process Integration and Design Optimization. He has a background in medical engineering, optics, microfluidics (biological and chemical applications), CFD and Robust Design Optimization.
01:15 PM - 01:40 PM
01:15 PM - 01:40 PM
A Novel Approach to Cost-Efficient Hybrid Cloud Solutions with SeaScape's DataLake and Micro-Resiliency
Mohit Srivastava
Staff Engineer at Arm
A Novel Approach to Cost-Efficient Hybrid Cloud Solutions with SeaScape's DataLake and Micro-Resiliency
01:15 PM - 01:40 PM EDT
Arm has always been exploring the cloud advantages and is quite motivated to be fully Cloud enabled. On cloud, spot instances have always been the cost effective solution but not many EDA tools can leverage this advantage. Spot instances offer a cost-effective solution by taking advantage of unused cloud resources. arm has already adopted spot instances for small/short workloads like APL characterizations.The runtime of Redhawk-SC EMIR runs is high, leading to a higher susceptibility for failure due to extended durations and more resource requirement. Goal is for RHSC to harnesses this capability for large work loads, to provide a Viable Option to Optimize the user’s Cloud Expenses. The new DataLake feature offers a more cost-effective solution by dividing workers into two categories. Execution workers are launched on spot instances and are responsible solely for the execution of jobs and with micro-resiliency, the eviction of spot instances is handled gracefully. On the other hand, DataLake workers are launched on reserved instances to ensure reliability since they are file servers. By dividing workers into these two categories and leveraging the capabilities of reserved and spot instances, this approach enables a highly scalable and cost-efficient system with robust micro-resiliency. DataLake runs on aarch64 machines were completed successfully inspite of spot instances eviction. There is reduction in cost seen on DataLake runs as compared to reserved with minimal impact on run time and no change in QoR.
Learn more about our Ansys Cloud & HPC Solutions available.
Deploy Neural Networks in Safety-Critical Embedded Applications
Cédric Pasteur
Senior Product Manager at Ansys
Deploy Neural Networks in Safety-Critical Embedded Applications
01:15 PM - 01:35 PM EDT
The usage of AI enables new autonomy use cases, even in safety-critical domains like aerospace and defense. In this presentation, we will show how you can deploy neural networks in a safety-critical embedded application. The approach consists in importing neural networks into Ansys SCADE, our model-based development solution which is a reference in the safety-critical domain. We’ll also show that the certification of such systems requires new methods and standards, where simulation is used to train and validate AI-based embedded systems. Ansys is in a unique position to propose a complete model-based systems engineering (MBSE) workflow for this use case and actively contributes to the ongoing definition of safety standards for AI-based systems.
Learn more about AI-Accelerated simulation solutions.
After a PhD in programming languages design, I started my career as a software engineer at Ansys, working on our qualified code generators. For the last four years, I have been the Product Manager of Scade One, a model-based solution for developing safe and reliable embedded applicative software.
01:20 PM - 01:45 PM
01:20 PM - 01:45 PM
Multi-Physics object observing with radar, EOIR and the effects of STOP Analysis (Structural, Thermal Optical Performance Analysis) applied to the optical system.
Steven LaCava
Lead Application Engineer at Ansys
Multi-Physics object observing with radar, EOIR and the effects of STOP Analysis (Structural, Thermal Optical Performance Analysis) applied to the optical system.
01:20 PM - 01:45 PM EDT
Mission level planning of the relative position between the object and observing systems, in both space and time. Modeling the optical performance of the flown system in a real-world simulation of potential conditions, while accounting for thermal, structural and fluid effects on the optical system.
Steven LaCava
Lead Application Engineer at Ansys
Steven LaCava was with Zemax prior to the Ansys Acquisition. He specializes in optics and multi-physics projects. He has former experience with DoD & DoE projects at the University of Arizona, including micro satellite tracking, directed energy and he worked on one of the first real-time adaptive optic systems. Steven has also served on the board of the MITA/MDOT Industry Group the Digital Delivery Work Group, expanding the use of drones, photogrammetry and other modern optical tools for the civil engineering and construction industries. He helped re-write the MDOT spec book as a panelist for multiple sections, and he held a seat on the University of Michigan Safety in Engineering Group. Now Steven works as a Lead Application Engineer in the ACE organization with the government division of Ansys, AGI (Ansys Government Initiatives) focusing on Automotive and the Federal Aerospace and Defense industries.
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May 16, 2024
TIME EDT
TITLE
SPEAKER(S)
10:00 AM - 10:20 AM
10:00 AM - 10:20 AM
Optimization of Nuclear-Powered Space Systems
Peter Frye
eVinci Space Applications Manager at Westinghouse
Optimization of Nuclear-Powered Space Systems
10:00 AM - 10:20 AM EDT
Recent developments in terrestrial advanced fission reactors, including Small Modular Reactors (SMRs) and microreactors, have resulted in high performing systems with a significantly increased focus on passive self-regulating safety features. This progress has resulted in a renewed interest in space applications with multiple upcoming missions; NASA’s Fission Surface Power, AFRL’s JETSON, and DARPA’s DRACO. A significant amount of missions are enabled by this technology, such as powering Artemis base camp and In-Situ Resource Utilization, heat to survive during Lunar nights or Martian dust storms, highly efficient spacecraft propulsion, human transportation to Mars, and deep-space scientific sample return. Coupling aerospace and nuclear together results in a unique system of systems optimization opportunity of highly complex safety systems. Designing and manufacturing a system that is small, lightweight, and safe to launch aboard a rocket to deep space is no easy challenge. The blending of orbital mechanics, complex radiative thermal boundary conditions in space, and nuclear physics has been attempted before. Ansys is heavily utilized throughout this process with a significant focus on requirements flow down, Model Based Systems Engineering (MBSE), and multi-physics optimization. This session will not be available on demand.
Pete leads the development of nuclear reactors tailored for space at Westinghouse. Prior to joining, he has previously led development efforts on lunar landers, satellites, aircraft, helicopters & other robotic systems. He has multiple patents and publications and holds BS & MS in Mechanical Engineering from Drexel University.
10:20 AM - 10:45 AM
10:20 AM - 10:45 AM
Ansys SimAI for CFD Studies
Matteo Aroni
Senior Application Engineering Manager, Fluids at Ansys
Ansys SimAI for CFD Studies
10:20 AM - 10:45 AM EDT
Are we on the edge of a new era for virtual prototyping ? Artificial intelligence may change the way we use simulation and the way it fits in product development cycles. Ansys SimAI is the brand new, physics agnostic, cloud-based AI Platform from Ansys. Based on deep learning techniques it can be trained with any simulation result and can predict the solution field on an unseen design breathtakingly fast. In this session you will see the platform in action, both in its native user interface as well as connected to the popular Blender morpher and you’ll hear about a selection of CFD use cases our team validated SimAI speed and insight against. Will you find your favorite CFD application?
Learn more about Ansys SimAI.
Matteo Aroni
Senior Application Engineering Manager, Fluids at Ansys
Matteo is a Senior Application Engineering Manager at Ansys with over 20 years of experience in CFD, focusing on automotive and aerospace simulation processes. Matteo has a degree in Aerospace Engineering and Rocket Propulsion and currently leads a team of expert CFD engineers in Europe.
10:20 AM - 10:40 AM
10:20 AM - 10:40 AM
Advancing Innovation in Accurate Simulation of the Light with GPU Computation
Mathieu Reigneau
Senior Product Manager at Ansys
Charly Meyer
Senior Product Manager at Ansys
Advancing Innovation in Accurate Simulation of the Light with GPU Computation
10:20 AM - 10:40 AM EDT
Whether simulating the propagation of light as rays or as waves, accurately computing the equations of optics and photonics requires extreme power and/or a very long compute time. GPUs have become the new revolution in solving physics equations and are very fit to calculate photons path and energy. We'll cover how we adapted our current CPU solvers into scalable general-purpose GPU solvers, taking advantage of the latest GPU technologies available, while maintaining perfect accuracy in regard to our already approved CPU references. In a second part we will illustrate how GPU transforms innovation path beyond acceleration, addressing new challenges within reasonable deadlines, and unleashing exploration into an infinity of what-ifs scenarios, up to a product experience getting closer and closer to reality, toward zero prototype tooling.
Learn more about Ansys Optics design and simulation tools.
Mathieu Reigneau
Senior Product Manager at Ansys
Mathieu Reigneau Senior Product Manager, Ansys Mathieu is a product manager of SPEOS user experience and visualization. He joined Ansys 13 years ago as a consulting engineer. Previously, he worked at ST Microelectronics, where he filed seven patents. He has led high-end photometry and visual ergonomics projects, and is an expert in real-time photometric simulation, predictive rendering, and virtual reality. Mathieu has an engineering degree in lasers and optics, and a master’s degree in photonics.
10:20 AM - 10:45 AM
10:20 AM - 10:45 AM
Meeting the Thermal Integrity Signoff Challenge for 3DIC
Murat Becer
Vice President at Ansys
Meeting the Thermal Integrity Signoff Challenge for 3DIC
10:20 AM - 10:45 AM EDT
2.5D and 3D-IC design has become an inflection point for EDA design. Multi-die silicon systems are not only larger than traditional ICs but also face design engineers with novel physical challenges that are not typically encountered with traditional monolithic IC design. The first and most important of these is managing heat and avoiding excessive temperatures. This presentation describes Ansys’ thermal analysis methodology for multi-die design and discusses critical input requirements like RTL activity from emulators, optimization techniques, system cooling, and foundry requirements. It also illustrates the value and importance of thermo-mechanical stress/warpage analysis as an essential part of multi-die design.
Learn more Ansys multiphysics solutions for Chips and 3DIC Systems.
Murat Becer
Vice President at Ansys
Murat Becer is the Vice President of Research and Development for Semiconductor Products at Ansys, bringing over 25 years of industry expertise. His leadership spans across semiconductors, EDA companies, and start-ups, providing him with a profound understanding of both technical and business aspects of the industry. This extensive background has been pivotal in spearheading cutting-edge solutions and fostering impactful strategies. Murat's dedication to excellence and innovation remains steadfast, further solidifying Ansys' leadership in the semiconductor realm. He holds a PhD degree from the University of Illinois at Urbana-Champaign.
10:20 AM - 10:45 AM
10:20 AM - 10:45 AM
Multiband Base Station Antenna Simulation
Katerina Galitskaya
Senior Antenna Engineer at Kaelus
Multiband Base Station Antenna Simulation
10:20 AM - 10:45 AM EDT
The technical session is intended for those who are interested in practical example of multiband base station antenna. Topics like multiband array setup, mutual coupling, radiation parameters and beamforming will be covered.
Learn more about Ansys Electronics simulation solutions.
Katerina is a Senior Antenna Engineer at Kaelus, that provides next generation Antenna and RF solutions. She is an active member of the EM simulation community. Katerina writes a technical blog for The Microwave Journal and posts weekly insights on LinkedIn.
10:20 AM - 10:45 AM
10:20 AM - 10:45 AM
Tips and Tricks with Ansys Mechanical
Sachin Verghese
Senior Director R&D at Ansys
Tips and Tricks with Ansys Mechanical
10:20 AM - 10:45 AM EDT
Ansys Mechanical has long been known as a best-in-class structural simulation platform that is easy to use, accurate, dependable, and extremely customizable. Through the years, we have continued to enhance Mechanical and add features to make what it’s known for even better. Whether you are just getting started on your Mechanical journey or a seasoned veteran, this presentation will help you learn about the latest advancements and tips on how to be more efficient when performing simulations. We will start by showcasing new ways to access Mechanical and the benefits of opening through the traditional way of Ansys Workbench or through the new standalone version. Then highlighting new themes that are now available to provide a consistent user experience across our suite of products. Finally wrapping it all up with navigating the user interface and tips and tricks on how to be more efficient and leverage the latest new features and enhancements.
Enhance Your Ansys Mechanical Skills with Our Free Online Courses.
Sachin Verghese
Senior Director R&D at Ansys
I started my career at Ansys 18 years ago and have enjoyed being a part of the research and development team ever since. I am currently the Senior Director of R&D for the Mechanical product and work closely with the development teams that make this product a reality. The creative and ingenious ways in which customers use our software, to design and bring their products to life, has always fascinated me. I am passionate about making the best simulation tools so that our customers can defy boundaries to build innovative and transformational products.
10:40 AM - 11:05 AM
10:40 AM - 11:05 AM
Impact of Environmental Thermal Loads on a Headlamp Design using Ansys System Coupling
Maxime Cailler
Application Engineer II at Ansys
Impact of Environmental Thermal Loads on a Headlamp Design using Ansys System Coupling
10:40 AM - 11:05 AM EDT
Impact of environmental thermal loads on a headlamp design using Ansys System Coupling This presentation showcases a holistic methodology for the comprehensive analysis of headlamp systems. The primary objectives of this example application study are to evaluate optical performance and ensure compliance with stringent regulations. We delve into the challenges posed by the dynamic thermal environment surrounding modern headlamp assemblies and discuss the need for a synergistic simulation framework. By concurrently simulating the optical behavior, thermal dynamics, and structural responses, engineers can gain a deeper understanding of how these components interact under real-world conditions. We showcase a new approach to headlamp design with the integration of optics, thermal, and structural solvers through Ansys System Coupling.
Learn more about Ansys Optics design and simulation tools.
Maxime Cailler
Application Engineer II at Ansys
Maxime Cailler, Optics Application Engineer
• Background: Master’s degree in Optics & Photonics (Institut d’Optique Graduate School, Palaiseau)
• Joined Ansys just after degree (early 2020) as Application Engineer (Speos)
• Main focus: Optics Multiphysics Workflows // Camera Sensors Applications
10:45 AM - 11:05 AM
10:45 AM - 11:05 AM
Leverage PyAEDT to create an automated HFSS 3D EM simulation workflow for IPD Products
Emmanuel Picard
CAD Development at STMicroelectronics
Leverage PyAEDT to create an automated HFSS 3D EM simulation workflow for IPD Products
10:45 AM - 11:05 AM EDT
The traditional process of simulating IPD products using a 3D EM tool is complex and requires advanced knowledge of the process, including stack-up and material descriptions. It also involves a significant amount of time building the project, ensuring the mesh is accurate enough, and properly setting each parameter. There is also a risk of user errors, which can lead to inaccurate results. However, by automating the process using PyAEDT, we were able to reduce the number of manual steps required and ensure consistency in the simulation process. The knowledge of experts was reflected in automatic settings, and the same design simulated by several designers produced the same result. This democratized the process and reduced learning time, allowing more people to benefit from the simulation process. Python was chosen as the language for automation due to its ease of use, large number of libraries available, and wide range of applications. PyAEDT, a Python library that interacts directly with the API for AEDT, simplified the user experience and made it easier to work with these products. In conclusion, the combination of expert knowledge, automatic settings, standardized processes, and democratization has led to increased efficiency and accuracy in simulation. By reducing design time and streamlining operations, PyAEDT is a powerful tool that can benefit anyone involved in simulation and design.
Learn more about Ansys Electronics simulation solutions.
Emmanuel Picard
CAD Development at STMicroelectronics
After working for more than 15 years in RF module design for 2G, 3G, and IOT applications, I joined the TCAD team in 2021. I am responsible for the development of tkits, the maintenance and improvement of the VLE2EMS tool dedicated to the electromagnetic simulation flow.
10:45 AM - 11:05 AM
10:45 AM - 11:05 AM
Geometry preparation with Ansys Discovery
Philippe Laguna
Senior Principal Application Engineer – Discovery at Ansys
Geometry preparation with Ansys Discovery
10:45 AM - 11:05 AM EDT
Ansys Discovery is an immersive and interactive environment that streamlines the process of modeling, simulating, and analyzing various design scenarios. It offers a single workspace where you can create and modify geometry using direct modeling technology, define simulations, and interact with results in real-time. Discovery is intuitive and supports simulations for structural, fluid flow, thermal, and electromagnetics designs. This session will focus on preparing the geometry for structural simulation in Workbench. We will see how to simplify a model, detect and solve the geometry problems that cause mesh failures, extract mid-surfaces from a metal structure, and parameterize a model driven by a structure tree. This session will also mention how to rebuild a 3D model from a Workbench Mechanical simulation result, and even more, how to set and run a fast simulation in Discovery, saving you precious time.
Enroll in the free online geometry preparation course.
Philippe Laguna
Senior Principal Application Engineer – Discovery at Ansys
More than 20y of CAE experience through different companies, mainly as application engineer in CAD and structural/fluid simulations. Recognized as a geometry and scripting expert at Ansys, I’m also evangelize the democratization of the simulation with Ansys Discovery.
10:45 AM - 11:10 AM
10:45 AM - 11:10 AM
Silicon Interposer Extraction Using Ansys RaptorX
Garth Sundberg
Senior Principal Engineer at Ansys
Silicon Interposer Extraction Using Ansys RaptorX
10:45 AM - 11:10 AM EDT
Silicon interposers are an important technology to increase the functionality of electronics while reducing the power consumed and size required. Electromagnetic modeling of silicon interposers is required to achieve this reduction. The Ansys RaptorX solver is perfect for modeling silicon interposers. This presentation will demonstrate the capabilities RaptorX has which make it well suited for extracting silicon interposers. Those capabilities are capacity, speed, accuracy, the ability to model through silicon vias (TSVs), and the ability to model deep trench capacitors (DTCs). These capabilities are demonstrated by extracting an interposer with signal nets, ground nets, power nets, TSVs, and DTCs. The extraction results are shown and discussed.
Learn more Ansys multiphysics solutions for Chips and 3DIC Systems.
Garth Sundberg
Senior Principal Engineer at Ansys
Dr. Garth Sundberg is a Senior Principal Engineer at Ansys where he works with on-die electromagnetic extraction including signal and power integrity, RF-IC, interposers, quantum computing, and die/package co-simulations. He also works on system level signal and power integrity, electrical and thermal modeling of PCBs, connectors, and EMI/EMC.
10:45 AM - 11:10 AM
10:45 AM - 11:10 AM
The Fluent GPU Solver: Unprecedented Speed and Scale For Your CFD Studies
Jeremy McCaslin
Senior Manager Product Management at Ansys
The Fluent GPU Solver: Unprecedented Speed and Scale For Your CFD Studies
10:45 AM - 11:10 AM EDT
With the Fluent GPU solver, engineers can explore complex fluid dynamics scenarios with unparalleled speed and scale, gaining deep insights into the behavior of liquids and gases in diverse environments. With robust numerical algorithms and advanced models that comprise the gold standard accuracy of Fluent, engineers can trust that their simulations reflect real-world physics with utmost fidelity. Whether simulating flows in aerospace, automotive, energy, or biomedical applications, Fluent sets the standard for precision, speed and reliability. In this presentation we will cover the latest updates to the Fluent GPU Solver available to you in 2024 R1, the latest application use cases, performance expectations relative to your traditional CPU hardware, and teasers of what is still to come.
Learn about the accuracy and speed of the Fluent GPU Solver.
Jeremy McCaslin
Senior Manager Product Management at Ansys
Jeremy McCaslin is based in the Irvine, CA office of Ansys and manages the Fluids Product Management team. He holds a B.A. in Physics from Covenant College, a M.S. in Mechanical Engineering from the University of Colorado at Boulder, and a Ph.D. in Mechanical Engineering from Cornell University. With over a decade of experience in both R&D and application of numerical methods, Jeremy has worked within a broad range of areas utilizing CFD. His areas of expertise and interests include external aerodynamics, multiphase interface dynamics, and bio-inspired fluid dynamics.
11:05 AM - 11:30 AM
11:05 AM - 11:30 AM
Electric Motor Design for Water Pumps
Keld Folsach Rasmussen
Chief Engineer at Grundfos Holding A/S
Electric Motor Design for Water Pumps
11:05 AM - 11:30 AM EDT
Grundfos is a pump and pump system company. Included in pump and pump systems is internal development of electrical motors and power electronics. A fun fact is that it is estimated that 10% of the electrical energy in the world is used by pumps and pumps system. Grundfos has used motor design simulations for 50years. Starting with in-house simulation tool for induction motors over SPEED software to Ansys MotorCAD for continues improvement on simulation capabilities. The presentation will focus on electrical motor design for water pumps, focusing on some of the important aspects related to pump application. This includes the close integration of hydraulic, motor and power electronic. Further some examples on how the process with optimizing different motor designs using Ansys Motor-CAD is done.
Learn more about Ansys Electronics simulation solutions.
Keld Folsach Rasmussen has worked for Grundfos for 30 years with development of Energy Efficient Motors for Pumps. The work includes both development of motors but also simulation tools for motor design. Keld’s current responsibilities includes evaluation of new motor types and magnetic materials future electrical motors for pumps.
11:05 AM - 11:25 AM
11:05 AM - 11:25 AM
Ansys Optical Solution Demo for CMOS Sensor Camera
Sandra Gely
Senior Manager Application Engineering at Ansys
Ansys Optical Solution Demo for CMOS Sensor Camera
11:05 AM - 11:25 AM EDT
CMOS image sensor cameras are widely used in various applications, such as aerospace and defense, automotive, and consumer electronics. With the emergence of high-resolution cameras, obtaining the best image quality is becoming a must-have requirement. So, there is a growing need to design and optimize each camera component considering image quality of the full system in the targeted application environment. Accurate modeling of such components can be challenging due to multiscale structures going from nanoscale photonics to macroscale optics. To mitigate the modeling problem, Ansys provides ray and wave optics tools to simulate and optimize the design of the different modules of the camera system (lens imaging system, nanoscale pixel structure, digital processing) in a virtual environment with different illuminations, scenes, and scenarios, and evaluate the quality of the whole camera system. During this presentation, we are going to demo how to use Ansys Optical solution for end-to-end virtual prototyping of CMOS Sensor camera. The camera lens system is designed with the optical design software Ansys Zemax OpticStudio. Then the lens system can be exported through the new Optical Design Exchange file format from Ansys Zemax OpticStudio to Ansys Speos for Stray Light analysis. An optical ROM (Reduced Order Model) of this lens system can also be exported to Ansys Speos, which provides fast yet accurate simulation while accounting for environmental conditions, including artificial and natural light sources. In parallel, photonic simulation with Ansys Lumerical FDTD and CHARGE solvers provides the quantum efficiency of the CMOS image sensor. Light exposure from the 3D scene through the lens system onto the sensor is combined with the quantum efficiency of the CMOS image sensor to generate raw image and final image based on the digital processing.
Learn more about Ansys Optics design and simulation tools.
Sandra Gely
Senior Manager Application Engineering at Ansys
Sandra Gely is a Senior Manager in Application Engineering team focusing on optical simulation solution at Ansys. She holds a Master’s Degree in Physics, Optical & Electronic Engineering from Institut d’Optique Graduate School, Paris, France. She joined Optis in 2014 and has taken various consulting and application engineering roles in Europe and in North America. After joining Ansys through Optis acquisition in 2018, she has been working closely with High Tech companies in North America to provide suitable simulation tools for their applications. She is now leading a team of Optical Application Engineers in Europe.
11:05 AM - 11:25 AM
11:05 AM - 11:25 AM
Mesh Workflows – An Innovative and Streamlined Approach for Meshing in Ansys Mechanical
Hardik Shah
Principal Product Manager at Ansys
Mesh Workflows – An Innovative and Streamlined Approach for Meshing in Ansys Mechanical
11:05 AM - 11:25 AM EDT
Meshing in Ansys Mechanical is highly automated, very efficient, easy-to-use and most preferred way to do meshing. At times, customers need very flexible meshing workflows to handle custom requirement for specific application or industry best practices. This session will give an introduction into a completely new way to do meshing in Mechanical for very complex and custom workflows to meet different industry or application requirements like acoustics meshing, morphing, stacker meshing for printed circuit boards (PCB), and hand-crafted hex meshing. The presentation will conclude with a demonstration of the new mesh workflow for native acoustics meshing workflows to help understand how the mesh workflow works and how it meets complex acoustics meshing requirement for end-to-end NVH workflows.
Learn More about Ansys' Meshing Solutions.
My name is Hardik Shah and I am a Principal Product Manager at Ansys, driving our structural products like Mechanical, Motion, DesignLife. I specialize in industry workflows like MBD, NVH, Durability. I possess deep expertise in different industry domains like Transportation, Industrial Products
11:10 AM - 11:30 AM
11:10 AM - 11:30 AM
SigmaDVD: High Coverage Solution for Power Integrity Signoff
Anusha Vemuri
Physical Design Methodology Engineer at NVIDIA
SigmaDVD: High Coverage Solution for Power Integrity Signoff
11:10 AM - 11:30 AM EDT
SigmaDVD (sDVD) is a unique simulation method that provides complete power grid noise coverage for 100% of the design instances. This novel simulation technique generates tens of thousands of unique switching scenarios for each instance independently, using Monte Carlo techniques, and gathers the results into a distribution with a known three-sigma DVD value (sDVD) per instance. This analysis closes a known gap in power grid noise coverage available from other methods, such as vectorbased and vectorless direct transient simulations as well as BQM. The main considerations when comparing this new IR-Drop flow with other techniques are coverage (what % of hotspots from other IR-Drop methods does sDVD cover?) and how to handle the increase in hotspots/violating instances caused by the massive increase in noise coverage. We quantified this new flow's coverage capabilities through heatmap comparisons. In this presentation, we will first discuss the theory of sDVD, various trials we conducted to compare sDVD with other IR-Drop methods, and main conclusions (such as cost/coverage) based on our analyses. To demonstrate the added value from sDVD, we investigated sDVD's coverage of post-silicon identified outliers.
Learn more Ansys multiphysics solutions for Chips and 3DIC Systems.
Anusha Vemuri
Physical Design Methodology Engineer at NVIDIA
Anusha Vemuri works at NVIDIA as a Physical Design Methodology Engineer in the Hardware-VLSI team. She studied at UCLA for her Bachelors and Masters in Electrical Engineering and graduated in December, 2020.
11:10 AM - 11:35 AM
11:10 AM - 11:35 AM
Immersive User Experience with Ansys Fluent Web Interface
Balasubramanyam Sasanapuri
Lead Product Manager at Ansys
Immersive User Experience with Ansys Fluent Web Interface
11:10 AM - 11:35 AM EDT
In this presentation you will see a modern, immersive web interface of Ansys Fluent that works from a web browser on any device (Desktop, laptop, tablet, mobile etc.) with any OS (Windows, Linux etc.). You will see powerful features of the web interface to monitor or post-process results, to interrupt or restart a simulation, to change setup of the case. One can connect and disconnect to a Fluent simulation running in batch mode or interactive mode on a cluster or workstation or cloud. You will see a live demonstration of the web interface after a short presentation of the capabilities.
Learn more about the latest user experience updates in Fluent 2024R1.
Over the last two decades, Bala has assumed various roles within Ansys Customer Excellence organization, collaborating closely with clients across the US, Europe, China, Korea, Japan, and India, and moved to Product Management 4 years ago. Bala holds Master's Degree in Aerospace Engineering from the Indian Institute of Science, Bangalore.
11:25 AM - 11:45 AM
11:25 AM - 11:45 AM
Virtual Drop Tests using Ansys LS-DYNA
David Tarazona Ramos
Lead Application Engineer at Ansys
Virtual Drop Tests using Ansys LS-DYNA
11:25 AM - 11:45 AM EDT
In a world with a very high presence of personal devices and packages being constantly moved around, drop testing has become one of the most important stages of design and development of many products. A drop of any of these devices can lead to malfunctioning or damage so it is critical to analyze drop impacts to design better products and packaging. Engineers conduct drop tests in a controlled setting in different orientations to evaluate if their designed product can withstand drop impacts. With numerical simulations, engineers can have much better insight into the behavior and potential causes of failure in drop tests which enables them to take effective corrective measures early. Physical drop tests are expensive and often require a long preparation, making drop test simulations a very cost and time effective alternative to be incorporated into the design process. This presentation will cover some important aspects and recommendations for performing virtual drop tests using Ansys Workbench LS-DYNA including handling prestressing and multiple drop orientations.
Download the White Paper to Learn the 5 Best Practices for Drop Test Simulation.
David Tarazona Ramos works as Lead Application Engineer at Ansys. His main field of expertise is around explicit dynamic analysis with LS-DYNA, including vehicle crash, drop test, medical devices, or metal forming. Prior to Ansys he worked as a consulting simulation analyst and for Volvo Cars withing vehicle safety.
11:25 AM - 11:45 AM
11:25 AM - 11:45 AM
Optimize your Simulation with Ansys Speos and Ansys optiSLang
Alessia Fra
Senior Application Engineer at Ansys
Sabrina Niemeyer
Application Engineer II at Ansys
Optimize your Simulation with Ansys Speos and Ansys optiSLang
11:25 AM - 11:45 AM EDT
In this demonstration you will see how to create and simulate a lightguide with Speos using a colorimetric radiance map and an intensity map with a regulation check and publish parameters for optimization.
The optimization will be done with optiSLang in two steps: sensitivity analysis: Demonstrate design exploration capabilities by performing a sensitivity study to identify essential input parameters and to get design understanding by creating metamodels showing the relationship between input and output parameters. optimization: Demonstrate optimization capabilities by performing multi-objective optimization based on metamodels followed by local and single-objective direct optimization to achieve the best possible design.
Learn more about Ansys Optics design and simulation tools.
Alessia Fra
Senior Application Engineer at Ansys
I am a multilingual engineer with 15 years experience in optical design, simulation, technical pre-sales and post-sales activities. I fluently speak English, Italian, French and Spanish. I have a Master Degree in Mechanical Engineering at Politecnico di Torino (Italy) with 1 year spent at Universidad Politécnica de Madrid ETSII (Spain). I am a yoga teacher.
11:30 AM - 11:55 AM
11:30 AM - 11:55 AM
Real World Ports in High-Performance Interconnect Modeling
Scott McMorrow
Strategic Technologist at Samtec, Inc.
Real World Ports in High-Performance Interconnect Modeling
11:30 AM - 11:55 AM EDT
In this presentation, we will explore the use of various HFSS port types in signal integrity simulation of high-speed interconnects. Starting with a simple example, we will demonstrate the errors that can result from using different port types and show how wave ports can be utilized in non-traditional ways to improve modeling results and reduce overall error. We will also discuss how to configure wave ports for connector launch modeling. Join us to learn more about the practical application of HFSS port types in high-performance interconnect modeling.
Learn more about Ansys Electronics simulation solutions.
Scott McMorrow
Strategic Technologist at Samtec, Inc.
Scott McMorrow currently serves as a Strategic Technologist for Samtec, Inc. As a consultant for years too numerous to mention, Scott has helped many companies develop high performance products, while training signal integrity engineers. Today he works for "the man," where he continues being a problem solver, a change agent and "betting his job" every day.
11:30 AM - 11:50 AM
11:30 AM - 11:50 AM
A novel methodology for EM/IR analysis of Complex LDO/Power gated designs
Pavan Bilekallu
Lead Engineer, Layout at Qualcomm India Pvt. Ltd.
A novel methodology for EM/IR analysis of Complex LDO/Power gated designs
11:30 AM - 11:50 AM EDT
RF/Automobiles chips are more complex in designs and operate at ultra-high frequencies. Qualcomm custom devices make the design complex compared to other analog and digital designs. Hence there is a requirement for a flow which is dynamic, schematic/layout driven, and which supports the complexity in the chip designs and meet Qualcomm chipset criteria of EM sign off. When head switches and regulators are present, It is even more difficult to make the setup for the end users. In conventional flow, the internal net was brought to the top level and analyzed. The critical part is that we have an internal P/G domain which cannot be always defined as global due to same names at the next hierarchies sometimes. The tool needs to be more intelligent to handle multiple domains at different levels. The paper presents a novel methodology with a customizable GUI flow to extract the internal P/G domains and to handle the P/G domains after head switches and regulators which are not directly connected to voltage sources.
Learn more Ansys multiphysics solutions for Chips and 3DIC Systems.
Pavan Bilekallu
Lead Engineer, Layout at Qualcomm India Pvt. Ltd.
I am a Lead Engineer, Layout at Qualcomm. I work with the team to enable the Totem EM/IR analysis tool for reliability tests of the modules.
11:35 AM - 11:55 AM
11:35 AM - 11:55 AM
Best Practices for DEM-CFD Coupled Simulations Using Ansys Rocky and Ansys Fluent
Pedro Afonso
EMEA Fluids Lead Product Manager at Ansys
Best Practices for DEM-CFD Coupled Simulations Using Ansys Rocky and Ansys Fluent
11:35 AM - 11:55 AM EDT
The simultaneous flow of fluids and particles is standard in many processes across multiple industries, and it is crucial to consider the fluid flow to obtain the particles’ correct behavior. Design, scale-up, and optimization of such processes require a deep understanding of the thermo-hydrodynamics of the system, determined by the particle-level interactions between the fluids, particles, and boundaries. When engineers need to assess particle-fluid interactions, they can create a multiphysics simulation by coupling CFD (Computational Fluid Dynamics) and DEM (Discrete Element Method) using Ansys Fluent and Ansys Rocky to predict real-world behavior. This presentation will show how to couple Ansys Rocky and Ansys Fluent for CFD-DEM simulations.
• Why CFD-DEM coupling?
• Fluent and Rocky coupling approach
• Industry application examples
Learn more about Ansys turbomachinery solutions.
Pedro Afonso
EMEA Fluids Lead Product Manager at Ansys
Pedro Afonso is a EMEA Fluids Lead Product Manager based in the Ansys Iberia office in Spain. He holds a M.S. in Chemical Engineering from the Engineering University of Porto. Pedro has more than 15 years of experience dealing with CFD modeling ranging from multiphase & combustion to fluids related optimization.
11:45 AM - 12:10 PM
11:45 AM - 12:10 PM
Multi-Physics Object Observing with Radar, EOIR and the Effects of STOP Analysis (Structural, Thermal Optical Performance Analysis) Applied to the Optical System.
Steven LaCava
Lead Application Engineer at Ansys
Multi-Physics Object Observing with Radar, EOIR and the Effects of STOP Analysis (Structural, Thermal Optical Performance Analysis) Applied to the Optical System.
11:45 AM - 12:10 PM EDT
Mission level planning of the relative position between the object and observing systems, in both space and time. Modeling the optical performance of the flown system in a real-world simulation of potential conditions, while accounting for thermal, structural and fluid effects on the optical system.
Learn more about Ansys Optics design and simulation tools.
Steven LaCava
Lead Application Engineer at Ansys
Steven LaCava was with Zemax prior to the Ansys Acquisition. He specializes in optics and multi-physics projects. He has former experience with DoD & DoE projects at the University of Arizona, including micro satellite tracking, directed energy and he worked on one of the first real-time adaptive optic systems. Steven has also served on the board of the MITA/MDOT Industry Group the Digital Delivery Work Group, expanding the use of drones, photogrammetry and other modern optical tools for the civil engineering and construction industries. He helped re-write the MDOT spec book as a panelist for multiple sections, and he held a seat on the University of Michigan Safety in Engineering Group. Now Steven works as a Lead Application Engineer in the ACE organization with the government division of Ansys, AGI (Ansys Government Initiatives) focusing on Automotive and the Federal Aerospace and Defense industries.
11:45 AM - 12:10 PM
11:45 AM - 12:10 PM
This is Hans: The High-Fidelity Human Body Model
Alexander Gromer
Senior Manager, Application Engineering at Ansys
This is Hans: The High-Fidelity Human Body Model
11:45 AM - 12:10 PM EDT
Introducing HANS, a cutting-edge high-fidelity human body model designed to accurately simulate human responses in explicit simulations across diverse industries. With applications spanning automotive, aerospace, consumer products, and expanding into healthcare and beyond in the future, HANS offers a comprehensive solution to enhance product safety, development, and performance. Derived from scan data of an average adult male, HANS boasts meticulous detail, matching the AM50 size with a height of 176cm and a mass of 79kg (BMI 25.5). Distinctive in its focus on the musculoskeletal system, including precise modeling of bones, muscles, tendons, and ligaments, HANS ensures unparalleled accuracy in biomechanical simulations. HANS is setting a new standard for realistic human body dynamics.
Subscribe to the Hans Newsletter.
Alexander Gromer
Senior Manager, Application Engineering at Ansys
I got my Diploma in Mechanical Engineering in 2006 from the University of Stuttgart, Germany. After that, I started my career as a Project Engineer with DYNAmore. Main scope of work was occupant analysis and dummy model development. In 2017 I took the role of VP Engineering at DYNAmore Corp in Dublin, OH. Since 2021 I am working in the field of Human body modelling. Currently I am working as a Senior Manager at ANSYS and I am responsible for the Human body model development.
11:50 AM - 12:30 PM
11:50 AM - 12:30 PM
ML-Based Multiphysics Optimizations From Concept to Applications
Jerome Toublanc
Business Development Executive at Ansys
ML-Based Multiphysics Optimizations From Concept to Applications
11:50 AM - 12:30 PM EDT
Artificial Intelligence” and “Machine Learning” are very trendy terminologies, but it is not necessary always obvious to understand the meaning from an application point of view: what does it mean for chip designers? The purpose of this presentation is all about answering this key question. Rather than explaining details of the deep learning technics and advanced algorithms, we will focus on how AI/ML can help chip designers, no matter if they design small Analog IP, big Digital IC, or advanced System-in-Package (Chiplet and 3D-ICs). Various use case examples will be used to illustrate how these new technologies can ease efficient physical integrity validation of the layouts. Above all, we will explain how the association of Machine Learning to Multiphysics Simulations enable new ways to optimize designs; ML is a real paradigm-shift for the semiconductor EDA industry. To make sure attendees can picture their own application, we will explain how early adopters are currently creating and educating their own metamodels from their design thanks to the Ansys solutions but also their “savoir-faire”. The presentation will cover multiple physics such Power, Thermal, and Signal integrity.
Learn more Ansys multiphysics solutions for Chips and 3DIC Systems.
With nearly 25 years of Semiconductor industry experience in various EDA companies (Avanti, Synopsys, and Apache), Jerome has built his high-tech expertise with roles from Support Engineer, Product Specialist and Business Development within EMEA. Today he is handling cross-products management for Electronic, Semiconductor and Optical solutions. His mission is to develop state-of-the-art simulation workflows with ML and golden solvers.
11:55 AM - 12:15 PM
11:55 AM - 12:15 PM
Server system level EMI simulations with ANSYS EMA
Cesar Mendez Ruiz
Signal Integrity Engineer at Intel Corporation
Server system level EMI simulations with ANSYS EMA
11:55 AM - 12:15 PM EDT
On the server segment, and in general on the entire consumer electronics industry, Electromagnetic Interference (EMI) is a design consideration that is commonly left withhold until late stages of the product life cycle. One of the main reasons is that EMI is typically a system level problem for which it is necessary to account for motherboard layout, chassis mechanical assembly, CPU heatsink, ICs package and socket designs, connectors, cables, operating conditions of components and signaling buses, etc. To perform an electromagnetic analysis of such a complex problem in a practical way was not really an option before, but still necessary due to significant impact on product Bill of Materials cost and schedule when an EMI issue is identified until after prototypes are built. This presentation covers an Intel/ANSYS/EMA joint program in which EMA Finite Difference Time Domain based engine was evaluated and then developed to support full server simulations that fit on Intel computing infrastructure and that run in a reasonable time. The result of this effort was the integration of EMA into Intel Data Center and Artificial Intelligence division methodology to perform EMI analysis bringing the identification of issues to earlier stages of the program.
Learn more about Ansys Electronics simulation solutions.
César received the B.S. in Electromechanical Engineering from Universidad Panamericana (2003); the M.S. in Electronic Engineering from Universidad de Guadalajara (2007); and the Ph.D. in Applied Electromagnetics from University of New Mexico (2011). He then accepted a position at Intel as Signal Integrity engineer. He was appointed TL in 2021.
11:55 AM - 12:15 PM
11:55 AM - 12:15 PM
Best Practices in Turbomachinery Modeling
Wolfgang Bauer
Senior Manager Application Engineering at Ansys
Best Practices in Turbomachinery Modeling
11:55 AM - 12:15 PM EDT
CFD is well established in the design and analysis of turbomachinery. From preliminary design to detailed design, an increasing level of flow detail is available for turbomachinery simulation models. A proper differentiation between numerical and model error is a key element for predictive simulation. This presentation provides an overview of available methods and demonstrates their value for specific use cases.
Learn more about Ansys Rocky.
Wolfgang Bauer
Senior Manager Application Engineering at Ansys
Wolfgang is a Senior Application Engineering Manager at Ansys with 30 years of experience in CFD, focusing on turbomachinery and reacting flow simulation processes today. Wolfgang has a PhD degree in gas turbine and flight propulsion and currently leads a team of expert CFD engineers in Europe.
12:10 PM - 12:35 PM
12:10 PM - 12:35 PM
Ansys Structural Optimization - Possibilities
Sebastian Stahn
Lead Application Engineer at Ansys
Ansys Structural Optimization - Possibilities
12:10 PM - 12:35 PM EDT
Structural optimization opens a world of possibilities for engineers and designers to push the boundaries of what is achievable. This presentation will show how Formula Students enhance their designs with optimized parts like a bellcranks, upright, wheels, and more for improved performance and efficiency. For them it's not just about building better structures; it's about shaping a future where innovation thrives through optimized designs informed by simulation to be ahead of their competition. Topics covered: • Parametric and non-parametric optimizations • Design examples of Formula Student cars • Fields of application • Acoustics • Generative Design • Overview of your possibilities.
Download the Ebook: Optimization's Role in the Changing Product Development Landscape.
Sebastian Stahn
Lead Application Engineer at Ansys
Passionate Lead Engineer & PM with a Focus on Innovation and Collaboration As a seasoned Lead Engineer and PM, I have 18 years of experience specializing in simulation, structural optimization, and agile methodologies to foster innovation. I prioritize customer satisfaction and product excellence. Outside work, I enjoy family time and empowering others through coaching and sports. Let's connect and explore possibilities together!
12:10 PM - 12:35 PM
12:10 PM - 12:35 PM
Automating System-level Stray Light Analysis with Ansys Optics
Mina Nazari
Senior Application Engineer at Ansys
Automating System-level Stray Light Analysis with Ansys Optics
12:10 PM - 12:35 PM EDT
Stray light analysis is essential for the design of high-quality optical systems, to ensure that unwanted light reaching the sensor is minimized, and artifacts that degrade optical performance - such as lens flare – are mitigated. This article introduces a system-level approach for stray light analysis using Ansys Optics simulation tools, considering stray light from both optical and non-optical components. The article illustrates how these tools can be integrated with Ansys optiSLang for automated exploration and design optimization. The practical camera use-case highlights a seamless data exchange between Ansys Optics simulation tools. It employs a range of intuitive features, from Ansys Zemax OpticStudio's sequential ray tracing, extending to Ansys Speos ray path analysis, while leveraging HPC and Cloud Computing. The combined capabilities offer an efficient solution, streamlining collaboration and enabling optimized optical system designs.
Learn more about Ansys Optics design and simulation tools.
Mina Nazari
Senior Application Engineer at Ansys
Mina Nazari Ansys, Inc. (United States) Mina Nazari is a Senior Application Engineering at Ansys, with a focus on the optical simulation product line in high-tech and autonomous vehicle industries. Mina received her Ph.D. in Electrical Engineering from Boston University in 2019. Before joining Ansys, she worked in the architectural LED lighting field at Luminii, as well as in the LiDAR industry at Aptiv. Mina has authored several peer-reviewed articles on Optics and photonics field and has spoken at several symposia and conferences during the past decade.
12:15 PM - 12:40 PM
12:15 PM - 12:40 PM
Fast NVH Prediction for E-Motor using Ansys Motor-CAD
Dr. Keyu Chen
Senior NVH Engineer at BorgWarner
Fast NVH Prediction for E-Motor using Ansys Motor-CAD
12:15 PM - 12:40 PM EDT
Fast NVH analysis from the start of the motor design is important to speed up product development by avoiding major NVH issues later. In this paper, different methods for electric motor noise and vibration predictions are proposed for different stages in the design process. The results are compared to previous experimental validation. The first method combines electromagnetic finite element analysis to calculate the forces, with analytical models for the stator vibration and acoustic response. This requires minimal structural design data, and can be carried out rapidly, allowing the exploration of many design possibilities in the early design stage, and is implemented in Ansys Motor-CAD. This is compared with the full structural finite element analysis (FEA). It is shown that the fast analytical NVH process provides a good prediction for the motor noise level early in the design process. Frequency response functions (FRF) are demonstrated to calculate the noise response from the forces of critical space orders rapidly when a structural FEA model is available, and using the FEA or FRF approach additional detail based on the overall system structural response can be added in the later stage to refine the design.
Learn more about Ansys Electronics simulation solutions.
Keyu Chen, senior NVH engineer and electric machine NVH center of excellence lead at BorgWarner. I got my mechanical engineering PhD degree at the University of Kentucky in 2020, focusing on noise and vibration control. After that, I joined BorgWarner, and my job is mainly focused on NVH simulation of electric machines.
12:15 PM - 12:40 PM
12:15 PM - 12:40 PM
Recent Advances in Complex CFD Pre-processing
Vivek Patil
Manager, Application Engineering at Ansys
Recent Advances in Complex CFD Pre-processing
12:15 PM - 12:40 PM EDT
Recent advancements in complex CFD preprocessing have transformed the field, aiming to streamline processes, enhance accuracy, and enhance productivity. Here's a breakdown of key technologies: Advanced Meshing Techniques: Thin volume meshing has emerged as a game-changer, enabling the capture of intricate thin geometries. By refining mesh resolution in critical regions, simulations achieve higher accuracy. Additionally, the new 2D Workflow & Topology Meshing Workflow simplifies mesh generation, enhancing user experience and speeding up the process, particularly beneficial in Aerospace & Defence (A&D) applications. Rapid Octree Meshing for Automotive Applications: The introduction of Rapid Octree meshing is a breakthrough for Automotive fluid applications. This scalable solution leverages thousands of cores, drastically reducing pre-processing time to less than an hour while maintaining mesh quality. This new technology helps for good quality mesh to aid solver convergence, ensuring smoother simulation runs. Automation with Fluent Meshing / PyPrimeMesh: Automation and efficiency take center stage with PyPrimeMesh. This technology minimizes manual intervention, enabling users to generate high-quality meshes rapidly. The automated process significantly shortens turnaround times for CFD simulations, optimizing workflow efficiency. In summary, these recent advancements in complex CFD preprocessing technologies offer insights into cutting-edge techniques that streamline processes, enhance accuracy, and accelerate simulation workflows.
Learn more about Fluent Meshing.
Vivek Patil
Manager, Application Engineering at Ansys
Vivek brings over 17 years of experience as a Manager in Application Engineering at Ansys. His expertise lies in developing and implementing preprocessing simulation workflows. Vivek collaborates with key Automotive customers across the APAC region to establish best practices in Ansys preprocessing tools and workflows. Additionally, he has contributed significantly to preprocessing workflow development in the NA & EMEA region. Vivek is also deeply involved in working with major clients across India to implement optimal practices for Designer Simulation tools, focusing on design exploration and optimization. Vivek actively engages with the Product Development team to integrate global best practices and client enhancement requirements into Ansys preprocessing products.
12:30 PM - 12:50 PM
12:30 PM - 12:50 PM
3DIC Compiler & RHSC ET
Kenneth Larsen
Director of Product Management and Marketing at SYNOPSYS
3DIC Compiler & RHSC ET
12:30 PM - 12:50 PM EDT
New innovations in multi-die advanced packaging technology are changing the way silicon systems are built at all leading semiconductor companies, including high-performance comput (HPC), AI/ML hardware, and graphics processing (GPU). These new 2.5D and 3D-IC packaging techniques offer great promise for faster, bigger, and more capable systems. But they also come with a range of new challenges and novel multiphysics requirements. Synopsys has answered this need with 3DIC Compiler™, a purpose-built implementation platform for floorplanning, designing, optimizing, and verifying multi-die systems. 3DIC Compiler supports all foundry architectures for multi-die assembly, including interposers. This implementation platform is integrated with Ansys RedHawk-SC Electrothermal™ for all multiphysics analysis needs such as thermal integrity signoff, power integrity, electromagnetic signal integrity, and structural/mechanical integrity. With full 3D floorplanning and visualization and advanced features like bump mirroring and built-in RDL auto-routing, 3DIC Compiler delivers a comprehensive solution to address the challenges of this exciting new 3DIC design technology.
Learn more Ansys multiphysics solutions for Chips and 3DIC Systems.
Kenneth Larsen
Director of Product Management and Marketing at SYNOPSYS
Kenneth Larsen is a product marketing director in the Digital Design Group at Synopsys. He is a versatile leader with a strong background in defining and executing product vision, marketing strategy, inspiring product development teams, translating technology concepts into customer solutions, developing high-performance global organizations, conceiving and driving new and emerging products to scale from the ground up, guiding marketing, and enabling sales. Kenneth has a degree in electrical engineering and additional coursework in strategic growth at Columbia Business School, and Artificial Intelligence at MIT Sloan School of Management.
12:35 PM - 12:55 PM
12:35 PM - 12:55 PM
PyAnsys for Structural Mechanics Simulations
Pernelle Marone-Hitz
Lead Application Engineer at Ansys
PyAnsys for Structural Mechanics Simulations
12:35 PM - 12:55 PM EDT
PyAnsys project is a collection of many Python packages for using Ansys products through an external Python workflow. It empowers users to seamlessly integrate simulation tasks into their Python workflows, enhance productivity, and unlock new dimensions in simulation-driven design. This presentation will give an overview of PyAnsys, with a focus on packages that are useful to engineers working in structural mechanics. Guidance will be provided on how to install PyAnsys and how to access the documentation and other useful resources. In the second part of the presentation, we will take a deeper dive into some specific packages, together with demonstrations: PyMAPDL, PyDPF-Core, PyMechanical, and PyDyna will be covered.
Install PyAnsys Now.
Pernelle Marone-Hitz is a structural engineer with a passion for using scripting to solve complex challenges. After a Master's degree and a PhD in Mechanical Engineering, she joined Ansys as an application engineer almost a decade ago. She specializes in helping Ansys users get the most out of structural simulation through scripting, through presales, technical support, consulting, mentoring, and training activities.
12:35 PM - 01:00 PM
12:35 PM - 01:00 PM
Optical Design and Simulation of a Logo Projection lamp
Gernot Blobel
Senior Application Engineer at Ansys
Optical Design and Simulation of a Logo Projection lamp
12:35 PM - 01:00 PM EDT
Near-field ground projections play a key role in 360° illumination of the vehicle and extend communication and safety functions beyond the vehicle. The simulation of a logo projection offers a variety of options for individual and high-quality designs. This presentation demonstrates how to design and optimize an optical logo projection lamp with Ansys Zemax OpticStudio. In addition, it is shown how to export the system from Zemax OpticStudio to Speos to evaluate the virtual performance of the system considering environmental factors in a typical scene. Ansys Zemax OpticStudio is Zemax’s flagship product. It combines complex physics as well as optimization and tolerancing tools to design and analyze optical imaging, illumination, and laser systems. It is the go-to product for optical imaging systems. Ansys Speos is a state-of-the-art program that allows us to make engineering decisions by creating physics-based simulations with representations of different environments, driver perspectives and boundary conditions. The combination of Zemax OpticStudio and Speos allows the system to be simulated from optical design to validation in a scene.
Learn more about Ansys Optics design and simulation tools.
Gernot Blobel
Senior Application Engineer at Ansys
Gernot Blobel is a Senior Application Engineer at Ansys. He has been with Ansys for 3 years. Prior to Ansys he worked as a Development Engineer at ARRK Engineering and Research Associate at the PTB - National Metrology Institute of Germany. Gernot holds a Master of Science (M.Sc.), Applied Physics from the University of Applied Sciences Koblenz.
12:40 PM - 01:05 PM
12:40 PM - 01:05 PM
PyFluent Usability, Capabilities and 24R1 Updates
Ryan O'Connor
Lead Application Engineer at Ansys
PyFluent Usability, Capabilities and 24R1 Updates
12:40 PM - 01:05 PM EDT
PyFluent, a cornerstone of the PyAnsys ecosystem, revolutionizes how users interact with Ansys Fluent by offering a Pythonic gateway to launch, interface with, and control Ansys Fluent sessions directly from any Python environment. Its integration with the broader PyAnsys libraries and external Python ecosystems opens up unparalleled opportunities for streamlined workflows and efficiency gains.
The recent updates in PyFluent, introduced alongside Fluent 2024R1, have marked a significant leap forward in enhancing its usability, capabilities, performance, and ease of learning. Discover the latest and most exciting features of PyFluent, learn the essentials to get started, and witness a compelling demonstration of PyFluent's capabilities in action.
Whether you're aiming to automate repetitive tasks, extend Fluent's functionality, or integrate CFD simulations with data analysis and machine learning pipelines, PyFluent offers the tools and flexibility needed to achieve your goals. Join us in exploring how PyFluent is shaping the future of CFD simulation, making it more dynamic, interactive, and integrated into the modern computational engineering landscape.
Learn how to get started with PyFluent.
Ryan O’Connor is a Lead CFD Application Engineer at Ansys, and leads a team focused on fluids automation and customization. Ryan joined Ansys after earning his BASc in Mechanical Engineering from The University of Waterloo in 2005. Ryan provides support and services for Ansys CFD, Turbo, FSI tools, and automation using Ansys tools, such as PyFluent.
12:40 PM - 01:05 PM
12:40 PM - 01:05 PM
Three Methods to Simulate Transformer Zero-Sequence Impedance
Dr. Huang Kejie
Sr. Researcher at Electric Power Research Institute at China Southern Power Grid
Three Methods to Simulate Transformer Zero-Sequence Impedance
12:40 PM - 01:05 PM EDT
The zero sequence impedance of transformer is one of the important parameters of power system, which is used to calculate the zero sequence component of short circuit current under single-phase grounding fault. The zero-sequence impedance of transformer is mainly affected by core structure and connection group, so it is difficult to calculate the zero sequence impedance accurately by analytical method. The finite element model of zero sequence impedance of an YNyn0d11 3- phase 3-leg transformer is established in Ansys Maxwell, and three calculation methods of zero sequence impedance, namely voltammetry method, energy method and inductance matrix method, are studied. The simulation results are consistent with the test data, which verifies the correctness of the three simulation methods. Based on the simulation model, the influence of the oil tank or magnetic shield on the zero-sequence impedance is also studied.
Learn more about Ansys Electronics simulation solutions.
Dr. Huang Kejie
Sr. Researcher at Electric Power Research Institute at China Southern Power Grid
Huang Kejie, Doctor of engineering, senior engineer, currently he is a researcher of Electric Power Research Institute, China Sourthen Power Grid. His research interests are system design for HVDC and multi-physics simulation of power apparatus. He participated in the construction of KUNLIULONG ±800kV VSC HVDC project and DIANXIBEI ±800kV HVDC project, and was resposible for the type selection, design check and fault analysis of converter transformer dry type reactor and DC wall bushing.
12:50 PM - 01:15 PM
12:50 PM - 01:15 PM
Aggressor Aware Design for Improved IR-Drop Results
Vlad Berlin
Physical Design Engineer at RETYM
Aggressor Aware Design for Improved IR-Drop Results
12:50 PM - 01:15 PM EDT
The move to advanced technodes has many benefits, but it has created a challenge that has been previously neglectable; the aggression of neighbouring cells that are linked through the power grid – this link through the grid is known as cross-impedance. The complex grid structure that designed with pillars create cross-impedance that stretch beyond cells that share same track. Traditionally the focus of IRdrop analyses was mainly 2 aspects: i) improving self-drop –optimizing the cell’s resistive path from its power pins to the bumps. ii) handling simultaneous switching cells that share a power\ground track. To improve turn-around-time and reduce IRdrop related ECO cycles, we can tackle the problem from its origin – we can leverage Ansys Redhawk-SC platform to gather and calculate the aggression impact radius for all the cells in the library. The gathered data can be transformed to custom placement rules that will maximize cell usage while reducing overall dynamic IRdrop. At later mature design stages, we can utilize Ansys Redhawk-SC platform to combine aggressor cells in the design with their slack to a small and effective list of ECO’s that will have most overall design IRdrop improvements while having minimal impact on timing due to slack margin.
Learn more Ansys multiphysics solutions for Chips and 3DIC Systems.
Vlad Berlin
Physical Design Engineer at RETYM
A physical design engineer and leading the power integrity activity at Retym. I have worked as a Senior application engineer at Ansys, and before that I was an SI\PI engineer at Intel MIG group.
12:55 PM - 01:15 PM
12:55 PM - 01:15 PM
Create Accurate Viscoplastic Material Models using MCalibration
Jorgen Bergstrom
Ansys Fellow at Ansys
Create Accurate Viscoplastic Material Models using MCalibration
12:55 PM - 01:15 PM EDT
Many commercial products include rubbers, thermoplastics, adhesives, or other polymer materials. One characteristic of these materials is that they exhibit non-linear viscoplasticity in most environmental conditions. Accurate FE modeling of these products therefore requires a carefully selected and calibrated material model. In this presentation I will first talk about what types of experimental data are required, and then demonstrate how you can use the MCalibration software to convert the experimental data into accurate material models that can be used in Ansys Mechanical or LS-DYNA.
Learn more about material modeling.
Dr. Jorgen Bergstrom received his PhD from M.I.T. in the field of mechanical behavior of polymer materials. Dr. Bergstrom worked as a technical consultant for 20 years, until three years ago when he started PolymerFEM LLC, a company specializing in material modeling software. PolymerFEM is now part of Ansys.
01:00 PM - 01:25 PM
01:00 PM - 01:25 PM
Modelling of Electro-optical Interconnect with AEDT-Lumerical Interoperability
Kyle Johnson
Application Engineer II at Ansys
Modelling of Electro-optical Interconnect with AEDT-Lumerical Interoperability
01:00 PM - 01:25 PM EDT
With the rise of high-performance computing, there is increasing demand on the bandwidth and power consumption of optical interconnects. For optimal design, the electrical and optical sections of the channel cannot be analyzed separately. Full signal integrity analysis of the EIC, PIC, as well as the interconnect transmitting the signals between them must be performed. We will demonstrate a signal integrity analysis workflow for the EIC-PIC interconnect, optical transmitter, and receiver. The S-parameters of the EIC-PIC interconnect will be extracted from HFSS. The electrical signal transmission between EIC and PIC will be simulated by AEDT Circuit and the optical transceiver will be simulated by Lumerical INTERCONNECT.
Learn more about Ansys Optics design and simulation tools.
Kyle Johnson
Application Engineer II at Ansys
Kyle Johnson is a Senior Application Engineer on the Lumerical team. He specializes in photonic integrated circuit simulations at both the component and circuit level. He has a Master's degree in Electrical and Computer Engineering from the University of Toronto.
01:05 PM - 01:30 PM
01:05 PM - 01:30 PM
Infrared Search and Track Simulation During Aircraft Mission
Zoran Dragojlovic
Lead Application Engineer at Ansys
Infrared Search and Track Simulation During Aircraft Mission
01:05 PM - 01:30 PM EDT
In order to provide insights into mission performance of Infrared Search and Track (IRST) pod, a multidisciplinary simulation workflow was created to study the effects of the mission environment on the IRST pod along an arbitrary flight trajectory. The flight scenario and data generation along the trajectory were simulated by using Ansys STK. Flight conditions are sampled along the aircraft trajectory and passed to the physics solvers. The aerodynamics simulation in Ansys Fluent predicts the air density field surrounding the pod and the pressure and temperature loads on the pod aperture. The pressure and temperature loads are transferred to Ansys Mechanical, which predicts the temperature and displacement distribution in the sensor glass window. The temperature field in the sensor glass and the fluctuating air density sampled in front of the sensor glass are provided to Zemax, which solves for the aberrations to the optical imaging system induced by the thermal loads, as well as the degradation of the beam due to turbulent density fluctuations that occur during the flight. The physical solvers are encapsulated within OptiSLang, which generates a ROM to expedite the simulation. The entire workflow is implemented in ModelCenter and is flexible to allow for early design studies, as well as for detailed design.
Learn more about the latest updates to Fluent for aerospace applications.
Zoran Dragojlovic is a Lead Application Engineer with Ansys. He is responsible for delivering technical services projects, presales support and training to Ansys customers. Zoran’s background is in industrial and scientific applications of CFD.
01:05 PM - 01:30 PM
01:05 PM - 01:30 PM
Introducing Automation and Advanced Analysis Workflows to Rapidly Accelerate 5G/mmWave Filter Design
David Shin
Business Development at SynMatrix Technologies Inc.
Introducing Automation and Advanced Analysis Workflows to Rapidly Accelerate 5G/mmWave Filter Design
01:05 PM - 01:30 PM EDT
Emerging 5G and mmWave communication systems are driving the demand and growth for passive components. With this growth, microwave filter design is faced with several technical challenges that can impact design time and manufacturing yield. Combined with higher volumes, more sensitive specifications, and a growing number of filter designers nearing retirement, the industry is facing new obstacles to maintain business continuity and deliver the industry needs of tomorrow. This short session will review how the integrated SynMatrix-HFSS workflows can help filter designers dramatically reduce the time and complexity to design RF filters. Automated workflows can realize significant time savings (weeks/days to hours), and advanced capabilities such as manufacturing yield analysis can be used to significantly reduce the cost and time of a product’s development and production lifecycle.
David Shin
Business Development at SynMatrix Technologies Inc.
David Shin is currently the Director of Business and Partner Development at SynMatrix. David is a graduate of the Mechanical Engineering program at the University of Toronto and has developed career in several fields including manufacturing engineering, finance, product development and marketing for technology companies.
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This exclusive evening event will be a dynamic blend of insights and networking opportunities. We're thrilled to kick off with a presentation from our esteemed CTO for Aerospace & Defense at Ansys, Steve Bleymaier, Brig Gen (Ret) USAF.
This exclusive one-day event promises to be a gathering of industry leaders, innovators, and experts, providing invaluable insights into cutting-edge solutions and workflows. Don’t miss this chance to hear from Sonya Shorey, CEO of Invest Ottawa, and our all-women panel sharing their invaluable experiences and perspectives in the tech industry.
For the many energy and climate tech solutions that have been developed to have an impact, the innovation and company behind them must scale. Join us at our one-day event as we discuss the energy transition and the work that needs to be done to ensure you and your company are meeting the milestone for net zero targeted solutions.
