Topology Optimization and Ai-Based Design of Power Electronic and Electrical Devices - Igarashi, Hajime
178,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in über 4 Wochen
payback
89 °P sammeln
  • Broschiertes Buch

Topology optimization and AI-based design of power electronic and electrical devices provides an essential foundation in the emergent design methodology as it moves toward commercial development, including electrical devices as traction motors for electric motors, transformers, inductors, reactors, and power electronics circuits. Opening with an introduction to electromagnetism and computational electromagnetics for optimal design, this book outlines principles and foundations in finite element methods and illustrates numerical techniques useful for finite element analysis. It summarizes the…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
Topology optimization and AI-based design of power electronic and electrical devices provides an essential foundation in the emergent design methodology as it moves toward commercial development, including electrical devices as traction motors for electric motors, transformers, inductors, reactors, and power electronics circuits. Opening with an introduction to electromagnetism and computational electromagnetics for optimal design, this book outlines principles and foundations in finite element methods and illustrates numerical techniques useful for finite element analysis. It summarizes the foundations of deterministic and stochastic optimization methods, including genetic algorithm, CMA-ES, and simulated annealing for quantum and quantum-inspired optimization, alongside representative algorithms. The book goes on to discuss parameter optimization and topology optimization of electrical devices alongside current implementations including magnetic shields, 2D and 3D models of electric motors, and wireless power transfer devices. Finally, it concludes with a lengthy exposition of AI-based design methods, including surrogate models for optimization, Bayesian optimization, direct inverse modeling, deep neural networks, explainable AI, variational autoencoder, and integrated design methods using Monte Carlo tree searches for electrical devices and circuits.¿¿
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Autorenporträt
Hajime Igarashi has been a Professor at the Graduate School of Information Science and Technology, Hokkaido University (Japan), since 2004. He was a guest researcher at the Technical University of Berlin from 1995 to 1997. His research areas are computational electromagnetism, design optimization, and energy harvesting. Igarashi is a vice president of the International COMPUMAG Society, a fellow of Institute of Electrical Engineers in Japan (IEEJ), a member of the Institute of Electronics, Information and Communication Engineers (IEICE), and a member of IEEE. He was the recipient of the Ministry of Education, Culture, Sports, Science and Technology Award and the Outstanding Technical Paper Award by IEEJ in 2016. He has authored or coauthored more than 300 international journal papers.