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

2023年度 業績リスト

<書籍>

<解説>

  • H. Igarashi, Questions in Computational Electromagnetics, Newsletter of International COMPUMAG Society, vol.30, no.2, 2023
  • 五十嵐 一,佐藤 駿輔,トポロジー最適化を用いた統合設計,計算工学 28(4) 4681-4684 2023年11月
  • 五十嵐 一,総説 : AI応用の動向と今後の展望?特集 人工知能が広げるモータ設計・モータドライブ技術の可能性,電気学会誌 143(10) 624-627 2023年10月
  • 佐藤 孝洋,佐藤 駿輔,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,電気学会誌 2023 年 143 巻 10 号 p. 632-635

<招待講演>

  • 五十嵐,AI技術のモータ設計への応用,電気学会全国大会,S16-1, 2023
  • 佐藤,五十嵐,モンテカルロ木探索を用いた最適設計,電気学会全国大会,S16-5, 2023

<論文>

  • Xiaohan Kong, Zheng Xu, Sheng Shen, Jiamin Wu, Yucheng He, Liang Xuan, Hajime Igarashi, Gradient Coil Design Method Specifically for Permanent-Magnet-Type Low Field Portable MRI Brain Scanner, IEEE Trans. Instrum. Meas. 72 1-12 2023, Jan.
  • Qiao Liu, Yoshitsugu Otomo, Yunyi Gong, Hajime Igarashi, Equivalent circuit of high frequency inductor to consider eddy currents and resonance , International Journal of Applied Electromagnetics and Mechanics 71 S275-S282 2023, April
  • Shogo Hayashi, Hajime Igarashi, Parameter-topology hybrid optimization of electric motor with multiple permanent magnets , International Journal of Applied Electromagnetics and Mechanics 71 S245-S255 2023, April
  • Shogo Hayashi, Yoshihisa Kubota, Shingo Soma, Satoyoshi Oya, Hajime Igarashi, Topology-Parameter Hybrid Optimization of Skewed Permanent Magnet Motor IEEE Transactions on Magnetics 59(5) 2023, May
  • Hayaho Sato, Hajime Igarashi, Fast Topology Optimization for PM Motors Using Variational Autoencoder and Neural Networks with Dropout IEEE Transactions on Magnetics 59(5) 2023, May
  • Hayaho Sato, Hajime Igarashi, Multi-Objective Automatic Design of Permanent Magnet Motor Using Monte Carlo Tree Search, IEEE Transactions on Magnetics 59(5) 2023, May
  • Akito Maruo, Norihiko Itani, Ayano Hasome, Takashi Yamazaki, Hajime Igarashi, Multi-objective topology design optimization combined with robust optimization Journal of Advanced Mechanical Design, Systems and Manufacturing 17(3) 2023, June
  • Akito Maruo, Hajime Igarashi, Robust Covariance Matrix Adaptation Evolution Strategy: Optimal Design of Magnetic Devices Considering Material Variation 67230 – 67239, IEEE Access 2023, June.
  • Yuki Sato, Shingo Hiruma, Hajime Igarashi, Hirokazu Matsumoto, Time-Domain Homogenized Finite Eddy Current Analysis Using Recursive Convolution Method, IEEE Transactions on Magnetics 59(5) 2023年5月1日
  • Shogo Hayashi, Manabu Yatsurugi, Yoshihisa Kubota, Shingo Soma, Hajime Igarashi, Topology Optimization of a Surface Permanent Magnet Motor with High Torque Density, IEEE Transactions on Magnetics 2023年
  • Yoshitsugu Otomo, Kazuki Sato, Ken Onozaka, Hajime Igarashi, Parameter and Topology Optimizations for Wireless Power Transfer Device Considering Magnetic and Circuit Properties, IEEE Transactions on Magnetics 2023年
  • Qiao Liu, Y. Uehara, N. Terauchi, N. Sato, Y. Matsuda, M. Nagano, Hajime Igarashi, Loss Evaluation of Magnetic Devices using Cauer Equivalent Circuit Identified from Input Impedance, IEEE Transactions on Magnetics 2023年
  • Takuto Jibiki, Takeshi Kawasaki, Masahiro Tanomura, Hajime Igarashi, Topology Optimization of Microstrip Lines with Experimental Validation, IEEE Transactions on Magnetics 2023年
  • Yuki Sato, Daisuke Ishii, Hirokazu Matsumoto, Hajime Igarashi, Homogenized Finite Element Analysis for Multi-Turn Coils Considering Parasitic Capacitances, IEEE Transactions on Magnetics 1-1 2023年
  • Kazuhisa Iwata, Hidenori Sasaki, Hajime Igarashi, Daisuke Nakagawa, Tomoya Ueda, Generalization Performance in Predicting Torque Characteristics Using Convolutional Neural Network and Stator Magnetic Flux, IEEE Transactions on Magnetics 1-1 2023年
  • Yin Shuli, Hayaho Sato, Hajime Igarashi, A Comprehensive Optimal Design of Inductors Using Monte Carlo Tree Search, IEEE Transactions on Magnetics ( Early Access ),2023
  • X. Kong, Z. Xu, S. Sheng, J. Wu, Y. He, and H. Igarashi, Z-gradient Coil Design with Improved Anti-Eddy Performance for MRI system with Opposed Permanent Magnets, Applied Magnetic Resonance, vol. 54, pp. 869-890,(2023)

<国際学会発表>

  • Yoshitsugu Otomo, Kazuki Sato, Ken Onozaka, Hajime Igarashi, Parameter and Topology Optimizations for Wireless Power Transfer Device Considering Magnetic and Circuit Properties, OD2:3, Proc.Compumag2023, 2023
  • Qiao Liu, Yuji Uehara, Naoya Terauchi, Hajime Igarashi, Loss Evaluation of Magnetic Devices using Cauer Equivalent Circuit Identified from Input Impedance, PB-A1:1, Proc.Compumag2023, 2023
  • Xiaohan Kong, Zheng Xu, Hajime Igarashi, Multi-fidelity Topology Optimization of Portable Low-field MRI Device, PB-A2:4, Proc.Compumag2023, 2023
  • Shogo Hayashi, Hajime Igarashi, Manabu Yatsurugi, Yoshihisa Kubota, Shingo Soma, Topology Optimization of a Surface Permanent Magnet Motor for Air Mobility, PA-M3: 2, Proc.Compumag2023, 2023
  • Takuto Jibiki, Takeshi Kawasaki, Masahiro Tanomura, Hajime Igarashi, Topology Optimization of Microstrip Lines with Experimental Validation, PA-M3: 6, Proc.Compumag2023, 2023
  • Shuli Yin, Hayaho Sato, Hajime Igarashi, A Comprehensive Optimal Design of Inductors Using Monte Carlo Tree Search, PC-A1: 8, Proc.Compumag2023, 2023
  • Kazuhisa Iwata, Hidenori Sasaki, Hajime Igarashi, Daisuke Nakagawa3, Tomoya Ueda, Prediction of Interior Permanent Magnet Motor Characteristics Using CNN with Vector Input of Magnetic Flux Density Distribution, PB-M2: 1, Proc.Compumag2023, 2023
  • Yuki Sato, Daisuke Ishii, Hirokazu Matsumoto, Hajime Igarashi, Homogenized Finite Element Analysis for Multi-Turn Coils Considering Parasitic Capacitances, OB1: 2, Proc.Compumag2023, 2023
  • Hayaho Sato, Hajime Igarashi, Visual Interpretation of Topology Optimization Results Based on Deep Learning, PC-M1: 3, Proc.Compumag2023, 2023
  • Keiichi Itoh, Shun Togase, Junya Satoh, Hideaki Matsuda, Eiko Sugawara, Masaki Tanaka, Hajime Igarashi, Topology Optimization of Thin Lens for Millimeter Wave Antenna Using High Dielectric Constant Material, PC-A2: 6, Proc.Compumag2023, 2023
  • Xiaohan Kong, Hajime Igarashi, Multi-objective Optimization of Inductors Based on Neural Network, OIPE2023, Oral Session2:1, Graz, Austria, September, 2023
  • Shuli Yin, Kazuki Sato, Yuki Ito, Hiroaki Ota, Yoshitsugu Otomo, Hajime Igarashi, Monte Carlo Tree Search Applied to Design of Wireless Power Transfer System, OIPE2023, Poster Session-Part2:12, Graz, Austria, September, 2023
  • Qiao Liu, Hajime Igarashi, Homogenized Finite Element Analysis of Motor Windings Based on Cauer circuit, OIPE2023, Poster Session-Part2:13, Graz, Austria, September, 2023
  • Sato Hayaho, Igarashi Hajime, Topology Optimization of Synchronous Reluctance Motor Using Regularized NGnet Method, ISEF2023, Oral Session OC-2, OC-25, Pavia, Italy, September, 2023
  • Jibiki Takuto, Kawasaki Takeshi, Tanomura Masahiro, Igarashi Hajime, On predicting the accuracy of surrogate model based on deep learning for microstrip lines, ISEF2023, Oral Session OB-3, OB-33, Pavia, Italy, September, 2023

<国内学会発表>

  • 佐々木秀徳(法政大学), 五十嵐一, 深層学習によるモータトポロジー最適化の高速化, S16-4, 電気学会全国大会, 3月15日, 2023
  • 大友佳嗣(長崎大学), 佐藤一樹, 小野坂健(オムロン), 五十嵐一, 磁気・回路特性を考慮したワイヤレス電力伝送用送受電コイルのパラメータ・トポロジー最適化, 4-115, 電気学会全国大会, 3月15日, 2023 
  • 青柳泰我, 林翔吾, 五十嵐一(北海道大学), 木田佳孝, 仙田泰三, たに浩司, 山田隆(JSOL), 磁化方向可変による永久磁石モータ多材料トポロジー最適化の基礎検討, 5-054, 電気学会全国大会, 3月17日, 2023 
  • 三上稜介, 佐藤駿輔, 林翔吾, 五十嵐一, 深層学習とCMA-ESを用いた多目的最適化, 5-055, 電気学会全国大会, 3月17日, 2023
  • 地引琢人(北海道大学), 川崎健, 田能村昌宏(住友電気工業), 深層学習によるマイクロストリップラインのトポロジー最適化の基礎検討, 5-131, 電気学会全国大会, 3月15日, 2023
  • 劉橋, 龔云羿, 五十嵐一, Simulation of Wireless Power Transfer using Cauer Equivalent Circuit Identified from Input Impedance, 5-132, 電気学会全国大会, 3月15日, 2023
  • 佐藤佑樹, 松本洋和(青山学院大学), 五十嵐一, 巻線の寄生キャパシタンスを考慮した均質化有限要素解析の検討, SA-23-001/RM-23-001, 電気学会研究会資料, 2023
  • 孔暁涵, 五十嵐一, Optimal Design of Passive Shimming for a 50mT Portable MRI Device, SA-23-022/RM-23-022, 電気学会研究会資料, 2023
  • 青柳泰我, 五十嵐一(北海道大学), 杉本麻梨子, 新谷翔吾, 岡佳史, 粟津稔(東芝), 変分オートエンコーダによる永久磁石モータモデル生成と最適化, SA-23-024/RM-23-024, 電気学会研究会資料, 2023
  • 佐藤駿輔, 五十嵐一, 離散要素法を用いた軟磁性複合材モデルの解析高速化について, SA-23-063/RM-23-062, 電気学会研究会資料, 2023
  • 地引琢人, 五十嵐一, 機械学習を用いたヒステリシス損失の解析, SA-23-064/RM-23-0263 電気学会研究会資料, 2023

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