Bridging Physics and AI: Advances in Computational Electromechanics for Intelligent Electrical Machines

#electromagnetics #industrial #AI #PMSMs #induction #machines

The talk delves into the cutting-edge intersection of computational electromechanics and industrial AI, exploring how advanced modeling and machine learning are revolutionizing the design, monitoring, and building digital twin of electrical machines. Drawing from over a decade of hands-on R&D experience in the energy and automation industries, the session showcases real-world applications—from high-fidelity 3D simulations of PMSMs and induction machines to machine learning-based digital twins for loss prediction, condition monitoring, and system optimization.The webinar will also highlight multiphysics modeling approaches coupling electromagnetic, mechanical, and thermal domains, as well as emerging research in magnetomechanical effects under stress conditions.