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Topology Optimization and AI-based Design of Power Electronic and Electrical Devices: Principles and Methods By Hajime Igarashi

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371
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5.53 MB
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Digital PDF
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eBook[PDF]
About this ebook
Topology Optimization and AI-based Design of Power Electronic and Electrical Devices: Principles and Methods by Hajime Igarashi is an academic and engineering text published by Elsevier in January 2024. It covers modern computational techniques used to design high-performance electrical and power electronic components. [1, 2, 3]
Core Topics
  • Computational Electromagnetics: Introduces core principles of electromagnetism and finite element methods (FEM) for device analysis. [1, 2]
  • Optimization Foundations: Summarizes deterministic and stochastic approaches, including genetic algorithms, covariance matrix adaptation evolution strategy (CMA-ES), and simulated annealing. [1, 2]
  • Topology and Parameter Optimization: Explores shape and layout optimization for real-world hardware like electric motors, magnetic shields, and wireless power transfer units. [1, 2]
  • AI-Driven Design: Covers machine learning applications, including surrogate models, deep neural networks, Bayesian optimization, variational autoencoders, and Monte Carlo tree searches for automated circuit and device design. [1, 2, 3]
Practical Applications
  • Electric Motors: Optimizes 2D and 3D models for traction motors.
  • Power Electronics: Aids in designing efficient transformers, inductors, reactors, and power circuits.
  • Magnetic Shielding: Refines physical layouts to block or redirect magnetic fields effectively. [1, 2]

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