Academic Field
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AI Technology with Aid of Data-driven Method Makes EM Simulation and Optimization More Effective
Hajime Igarashi, Hokkaido University
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Reduction of Optimal Design Time for IPMSMs for Automotive Applications Using Machine Learning
Yuki Shimizu, Osaka Prefecture University
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New Opportunities for Motor Design – Electric and Hybrid Propulsion of Aircraft
Bulent Sarlioglu, University of Wisconsin-Madison
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Analysis and Simplified Model of Induction Motor for Automotive Applications
Akira Chiba, Tokyo Institute of Technology
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JMAG’s responses to user proposals
Takashi Yamada, JSOL Corp.
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Model-Based Design Meets FEA Simulation – Improving Motor Control Development using High Fidelity Motor Models
Tony Lennon, The MathWorks, Inc.
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Examination to Enhance Efficiency of Axial Gap Motors
Masatsugu Takemoto, Hokkaido University
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Research on an integration motor to achieve high efficiency and high torque density
Kan Akatsu, Shibaura Institute of Technology
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JMAG’s responses to user proposals
Takashi Yamada, JSOL Corp.
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Simulating a motor hardware using an HIL system
Ken Sieber, National Instruments Japan
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Model-Base Virtual Verification Method With Advanced PCB Simulation Technics
Masanari Ueda, Mentor Graphics Japan Co., Ltd.
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Opening remarks, POWERSYS
Vincent CAPRON, CTO
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JMAG: Recent developments and roadmap
Takashi Yamada, JSOL Corp.
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The electric machine designer in the 21st century
Tim Miller
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Design and parametric modelling of a synchronous reluctance machine
Marcel Lehr, Technical University Darmstadt
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sunlight© pump – a small solar powered water pump developed using the JMAG toolchain
Andrea Vezzini, Institute for Energy and Mobility Research – Bern University of Applied Sciences