木構造表現を用いた電気機器の自動最適設計に向けた検討
Author:
Affiliation:
1. 室蘭工業大学
2. 北海道大学
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Subject
Electrical and Electronic Engineering
Link
https://www.jstage.jst.go.jp/article/ieejjournal/143/10/143_632/_pdf
Reference10 articles.
1. (1) C. Bianchini, F. Immovilli, E. Lorenzani, A. Bellini, and M. Davoli : “Review of Design Solutions for Internal Permanent-Magnet Machines Cogging Torque Reduction”, IEEE Trans. Magn., Vol.48, No.10, pp.2685-2696 (2012)
2. (2) T. Sato, K. Watanabe, and H. Igarashi : “Multimaterial Topology Optimization of Electric Machines Based on Normalized Gaussian Network”, IEEE Trans. Magn., Vol.51, No.3, Art. no.7202604 (2015)
3. (3) H. Sasaki, and H. Igarashi : “Topology optimization accelerated by deep learning”, IEEE Trans. Magn., Vol.55, No.6, Art. no.18670041 (2019)
4. (4) Y. Shimizu, S. Morimoto, M. Sanada, and Y. Inoue : “Automatic Design System With Generative Adversarial Network and Convolutional Neural Network for Optimization Design of Interior Permanent Magnet Synchronous Motor”, IEEE Trans. Energy Convers., Vol.38, No.1, pp.724-734 (2023)
5. (5) H. Sato, and H. Igarashi : “Automatic Design of PM Motor Using Monte Carlo Tree Search in Conjunction With Topology Optimization”, IEEE Trans. Magn., Vol.58, No.9, Art. no.7200504 (2022)
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