北海道大学大学院情報科学研究科 システム情報科学専攻 システム融合学講座

電磁工学研究室

English

Applied Electromagnetic Laboratory, Hokkaido University

2024年度 業績リスト(2024年3月1日現在)

<書籍>

<解説>

<招待講演>

  • 佐藤 駿輔・五十嵐 一,回転機の設計最適化と代理モデルの活用,電気学会全国大会,S11-2, 2024
  • 五十嵐 一,モータ設計×AI:さらなる高性能化を目指したモータ設計へのAI活用,モータ技術シンポジウム,2024

<論文>

  • X. Kong, S. Yin, Y. Gong, H. Igarashi, Multi-objective optimization and uncertainty quantification for inductors based on neural network. COMPEL-The international journal for computation and mathematics in electrical and electronic engineering, vol. 43 No. 4, pp. 890-903, 2024.
  • 佐藤,松本,五十嵐,河野,複数共振現象を表現可能な磁気部品の拡張Cauer 型等価回路生成,電気学会論文誌,vol.144, no.6, pp.214-221, 2024.
  • H. Igarashi, Q. Liu, S. Yin, Extension of Dowell and Semi-Analytical Homogenization Methods for Time-domain Analysis of Magnetic Devices, IEEE Transactions on Magnetics, 2024, in press.
  • T. Jibiki, H. Igarashi, A fast hysteresis analysis based on neural network and Play model, IET Science, Measurement & Technology, 2024, in press.
  • H. Sato, J. Kotani, Y. Sasaki, S. Tomioka, T. Takizawa, Y. Ueda, H. Kimiya, H. Igarashi, Analysis of Magnetic Properties of Soft Magnetic Composite Using Magnetic Circuits Generated by Discrete Element Method, IEEE Transactions on Magnetics, 2024, early access.
  • T. Sato, K. Watanabe, H. Igarashi, A Topology Optimization of Electromagnetic Devices Based on Kernel Ridge Regression as a Variant of Gaussian Network-based Shape Representation. IEEE Transactions on Magnetics, 2024, early access.
  • X. Kong, Y. Uehara, N. Terauchi, N. Sato, Y. Matsuda, M. Nagano, H. Igarashi, Magnetic Property Calibration of Low-Permeability Materials for Vibrating Sample Magnetometers Using Neural Networks, IEEE Transactions on Magnetics. 2024, early access.
  • J. Vesa, H. Igarashi, A. Marjamaki, R. Elkhadrawy, P. Rasilo, Resistivity Model for Soft Magnetic Composite Materials with Cauer Network Representation, IEEE Transactions on Magnetics, 2024, early access.
  • T. Jibiki, T. Kawasaki, M. Tanomura, H. Igarashi, Topology Optimization of Microwave Devices with Thin Structure, IEEE Transactions on Magnetics, 2024, early access.

<国際学会発表>

  • Takuto Jibiki, Takeshi Kawasaki, Masahiro Tanomura, Hajime Igarashi, Topology Optimization of Microwave Devices with Thin Structure, Proc. CEFC2024 MM_O3_04, 2024.
  • Kazuhisa Iwata1, Hidenori Sasaki1, Hajime Igarashi2, Daisuke Nakagawa3, and Tomoya Ueda3, Parameter and Topology Optimization Method for IPM Motors Using Multimodal Neural Network, Proc. CEFC2024 MA_O3_02, 2024.
  • Takahiro Sato1, Kota Watanabe1, and Hajime Igarashi, A Topology Optimization of Electromagnetic Devices Based on Kernel Ridge Regression as a Variant of Gaussian Network-Based Shape Representation, Proc. CEFC2024 MA_O3_04, 2024.
  • Joonas Vesa1, Antero Marjamaki1, Reda Elkhadrawy1, Hajime Igarashi2, and Paavo Rasilo1, Local Resistivity Model for Soft Magnetic Composite Materials, Proc. CEFC2024 TM_O3_04, 2024.
  • Shuli Yin and Hajime Igarashi, Topology Optimization of Magnetic Microstructures for Eddy Current Loss and Permeability, Proc. CEFC2024 MA_P_24, 2024.
  • Xiaohan Kong1, Keito Kubo1, Toshihito Shimotani2, Sanga Takagi2, Eiji Hashimoto2, Hiroyuki Imanari2, and Hajime Igarashi1, Dynamic Process Modeling in Induction Heating Considering Temperature-Dependent Magnetic Properties, Proc. CEFC2024 TM_P_35, 2024.
  • Xiaohan Kong1, Yuji Uehara2, Naoya Terauchi3, Natsuko Sato3, Yoshibumi Matsuda3, Masanori Nagano3, and Hajime Igarashi1, Magnetic Property Calibration for Vibrating Sample Magnetometers Based on Magnetic Field Analysis, Proc. CEFC2024 TA_P_16, 2024.
  • Ryosuke Mikami, Hayaho Sato, Tamaki Kujimichi, and Hajime Igarashi, Multiphysics Deep Learning for Topology Optimization of Permanent Magnet Motor, Proc. CEFC2024 WA_P_25, 2024.

<国内学会発表>

過去の業績

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