JMAG Users Conference Proceedings

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  1. Relationship of Parallel Number of Analyzes to Analysis Time with Outer Rotor Type Fan Motor

    Tsukasa Asari, DAIKIN INDUSTRIES,LTD

  2. Speeding up Induction Heating Analysis by Utilizing the Cloud

    Ayaka Nakata, KOYO THERMO SYSTEMS CO.,LTD.

  3. Examination of Refinement of the Method for Calculating the Starting Characteristics of Induction Motors

    Takumi Kikuta, Toshiba Mitsubishi-Electric Industrial Systems Corporation

  4. Introduction of New Coils (AST COIL) Using Motor Analysis Developed with Proprietary Manufacturing Methods

    Kyohei Yanagisawa, ASTER CO., LTD.

  5. Analytical/Experimental Verification of Thermal Characteristics of Axial Gap Motors, and Comparison Between Axial and Radial Gap Motors

    Ren Tsunata, Okayama University

  6. Topology Optimization of Electric Machines for E-mobility Applications

    Bharadwaj Raghuraman/Shafigh Nategh, Volvo Car Corporation

  7. A Study of Improving Demagnetization Resistance Performance by JMAG Topology Optimization

    Shogo Shintani, Toshiba Corporation

  8. Application of Automation of Design Utilizing Optimization to Traction Motor

    Tomoya Ueda, NIDEC CORPORATION

  9. Optimization (multi-objective, multi-physical) and Verification of E-Motor Design Using Real Test Bench Data

    Tim Schwartz / Sebastian Igel, Great Wall Motor Austria Research & Development GmbH

  10. High Speed Measurement System for Improving Accuracy of Magnetic Properties of Material Database

    Shigeru Aihara, BRIGHTEC Co., Ltd

  11. Combining Computational Fluid Dynamics and Electromagnetic Finite Element Simulations for Transient and Steady State Motor Cooling Simulations

    Tristan Burton, Convergent Science, Inc.

  12. Re-consideration of E-machine Thermal Management Using Recent Capabilities of Numerical Simulation

    Makoto Sato, Siemens PLM Software Computational Dynamics, K.K

  13. AI Technology with Aid of Data-driven Method Makes EM Simulation and Optimization More Effective

    Hajime Igarashi, Hokkaido University

  14. Reduction of Optimal Design Time for IPMSMs for Automotive Applications Using Machine Learning

    Yuki Shimizu, Osaka Prefecture University

  15. 3D Design of Magnetic Components by Gaussian Kernel Regression -Forward Design and Inverse Design-

    Yuki Sato, Texas Instruments Japan Limited

  16. JMAG & GT-SUITE Link for EV Traction Motor 1D Thermal Analysis

    Masako Shibamori, AISIN SEIKI CO., LTD.

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