EM Simulations in Product Design: Convergence of Simulation, HPC, and AI
Simulation-driven design changed product development forever, enabling engineers to reduce design iterations, and prototype testing. High Performance Computing (HPC) expanded the opportunity to apply analysis, making large design studies possible within the timing constraints of a program. Now engineering adoption of Artificial Intelligence (AI) and Machine Learning (ML) is transforming product development again. Combination of physics-based simulation-driven design with machine learning, leveraging the latest in high-performance cloud computing, enables industry to explore more and identify high-potential designs – while rejecting low-potential concepts – even earlier in development cycles.
With the increase in connected devices and platforms (such as 5G, 6G, C-V2X, ADAS etc.), advanced computational electromagnetic (CEM) tools have become part of the product design cycle. Now numerical simulations can be performed to evaluate the effects of antenna design, placement, radiation hazard, EMC/EMI, etc. for wide ranging industry applications. Interfacing with propagation tools, system level design can be accomplished that includes operating environment of the devices for device connectivity and throughput. Advent of cloud computing and AI/ML, and convergence with CEM simulations made connected, smart device design faster with reduced time from concept to the market propelling productivity and innovation. Use of cloud computing combined with AI/ML, many design iterations can be performed in a short period and reducing the time to market. This talk focuses on the use of electromagnetic simulations in design of products in various industries that include, consumer electronics, automotive, aerospace, defense and biomedical. This talk will also focus on future trends in cloud computing for physics-based simulations.
Presented by Dr. CJ Reddy, VP-Business Development Electromagnetics| Altair, at the ATCx Electronics for Engineers in October 2023, 22.5 mins