JMAG Users Conference Proceedings

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  1. A Multidisciplinary Approach to Integrated Motor Modeling using GT-SUITE and JMAG

    Jonathan Zeman, Gamma Technologies, LLC

  2. Recent update of electric machine thermal management with CFD How to employ the oil cooling method (pros and cons)

    Sato Makoto, Siemes Computational Dyamics K.K

  3. Ultra-high Fidelity Hardware in the Loop (HIL) Simulation for EV Motor Drives with Seamless Integration with JMAG-RT

    Petar Gartner/Ivan Celanovic, Typhoon HIL, Inc

  4. RecurDyn Dynamic Simulation of Drivetrain System with Electric Motors

    June Seo, FunctionBay, Inc

  5. Cooperation Between JMAG and MSC Products in Motor CAE

    Masatake Saito, MSC Software

  6. Initiatives in Toyota Vehicle Electrification and Developing Electrified Vehicles: Anticipating JMAG’s Support in the Development of Electrified Vehicles

    Hideto Hanada, TOYOTA MOTOR CORPORATION

  7. Case Study of Developing an IPM Motor Drive System with Model-Based Development (MBD) – Using JMAG-RT and HILS –

    Daisuke Mitsuoka, Shimadzu Corporation

  8. Comprehensive System to Component xEV Simulation Using Gamma Technologies and JMAG

    Joe Wimmer, Gamma Technologies, LLC

  9. Fuel Consumption Simulations for Vehicles Equipped with HUB Bearings with Motor Generator (eHUB)

    Mitsuo Kawamura, NTN Corporation

  10. Agile Electrical Machine Development for Hybrid Electric Aircraft

    Zoltán Nádudvari, Rolls-Royce Electric Hungary Kft

  11. Electromagnetic Excitation Force Generated on High Power Density High Rotation SPM Motor Rotor of Rocket Engine Propellant Supply Electric Pump

    Mitsuru Shimagaki, Japan Aerospace Exploration Agency

  12. Electric Noise in Cars from Inverter Current to Noise

    Mehdi Mehrgou, AVL List Gmbh.

  13. Problems and Problems Resolved after JMAG Introduction

    Ryuki Haruna, TEIKOKU ELECTRIC MFG. CO., LTD

  14. Challenges Moving from Static to Dynamic Analyses: The Merits of Introducing Transient Response Analysis

    Toshihisa Akutsu, San-Eisha, Ltd.

  15. Application of Deep Learning to Optimal Design

    Hajime Igarashi, Hokkaido University

  16. Automated Electric-Machine Design Workflow in the Cloud for Aviation Applications

    Daniel Csapo, Rolls-Royce Hungary Kft.

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