eBook PDF Topology Optimization and AI-based Design of Power Electronic and Electrical Devices Principles and Methods By Hajime Igarashi
ISBN-13: 978-0323991667
ISBN-10: 0323991661
ISBNs: 978-0323996754
0323996752
...
eBook PDF Topology Optimization and AI-based Design of Power Electronic and Electrical Devices Principles and Methods By Hajime Igarashi
ISBN-13: 978-0323991667
ISBN-10: 0323991661
ISBNs: 978-0323996754
0323996752
The textbook transitions systematically from the underlying principles of electromagnetism to cutting-edge generative workflows. It provides design engineers and researchers with the step-by-step methods, heuristic derivations, and pseudocodes necessary to execute multi-objective system layout optimization. [1] (https://books.apple.com/us/book/topology-optimization-and-ai-based-design-of/id6459300632)The technical material spans three core evolutionary stages:The Physics Baseline: Introduces computational electromagnetics tailored specifically for system optimization, mapping out foundational Finite Element Methods (FEM) and essential numerical analysis techniques. [1] (https://www.amazon.com/Topology-Optimization-AI-based-Electronic-Electrical/dp/0323991661)Deterministic & Stochastic Optimization: Outlines classic and modern algorithm frameworks, detailing Genetic Algorithms (GA), Particle Swarm Optimization, CMA-ES, and simulated annealing designed for quantum and quantum-inspired hardware configurations. [1] (https://www.amazon.com/Topology-Optimization-AI-based-Electronic-Electrical/dp/0323991661)Topology Exploration: Moves away from narrow parameter limitations to detail boundaryless structural design, featuring real-world hardware implementations across magnetic shields, wireless power transfer devices, and 2D/3D electric motor configurations. [1] (https://www.amazon.com/Topology-Optimization-AI-based-Electronic-Electrical/dp/0323991661)AI-Driven Engineering Ecosystems: Concludes with an extensive analysis of artificial intelligence deployment, teaching readers how to utilize surrogate models, Bayesian optimization, Deep Neural Networks (DNN), Variational Autoencoders (VAE), and Explainable AI (XAI) alongside Monte Carlo tree searches to automatically synthesize innovative electrical devices and circuits. [1] (https://www.amazon.com/Topology-Optimization-AI-based-Electronic-Electrical/dp/0323991661)
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