This webinar showcases the workflow of using Ansys Maxwell, HFSS, and Ansys SimAI for electromagnetic field training and prediction. This combination transforms the design and analysis of electromagnetic components by reducing the field prediction time by tens to hundreds of times.
Electromagnetic devices are everywhere in our daily lives, from consumer electronics and home appliances to electric vehicles and electric aircraft.
Traditional simulations of electromagnetic components rely heavily on numerical methods, such as the finite element and boundary element methods. With scientific machine learning (ML) advancements, mainly geometric deep learning and physics-informed ML, solving the governing equations of electromagnetic phenomena is more efficient by combining numerical solutions and artificial intelligence (AI) and ML techniques.
This presentation will showcase the workflow of using Ansys Maxwell and HFSS, our gold-standard electromagnetic simulation tools, and Ansys SimAI for electromagnetic field training and prediction. This combination transforms the design and analysis of electromagnetic components by reducing the field prediction time by tens to hundreds of times.
Several application scenarios, such as predicting the distributed magnetic force on PCB traces, characterizing the performance of electric traction motors, and detecting magnetic interference caused by permanent magnets in consumer electronics devices, highlight the advantages of Ansys Electronics Desktop tools and Ansys SimAI. We'll also discuss workflow automation using Python APIs and integrating SimAI into Ansys Electronics Desktop.
Electromagnetic Simulation Engineers & Analysts in all industries and Academia.
Peng Han
