Optimization

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  1. Calculation Cost Reduction Method in Multi-Objective Optimization Using Machine Learning: Case Study on Actuator Development

    Tomohiro Kuroda, AISIN CORPORATION

    • Applications: Linear Solenoid / Linear Actuator
    • Physical Phenomena: Magnetic Field
    • Technical Themes: AI / Machine Learning, Design Exploration / Optimization, and Large-Scale Processing

  2. DOE-based Optimization of Electrical Machines

    Stephan Guenther, IAV GmbH

    • Applications: IPM Motor and Motor
    • Physical Phenomena: Magnetic Field
    • Technical Themes: AI / Machine Learning, Design Exploration / Optimization, and Large-Scale Processing

  3. Analysis of Gas Proportional Solenoid Valve Using JMAG

    Yuichi Mochizuki, PURPOSE CO.,LTD.

    • Applications: Linear Solenoid / Linear Actuator
    • Physical Phenomena: Magnetic Field
    • Technical Themes: Design Exploration / Optimization

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

    Tsukasa Asari, DAIKIN INDUSTRIES,LTD

    • Applications: Motor and SPM Motor
    • Physical Phenomena: Magnetic Field
    • Technical Themes: Design Exploration / Optimization, Efficiency map, and Large-Scale Processing

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

    Bharadwaj Raghuraman/Shafigh Nategh, Volvo Car Corporation

    • Applications: Induction Motor, IPM Motor, and Motor
    • Physical Phenomena: Magnetic Field
    • Technical Themes: Design Exploration / Optimization

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

    Shogo Shintani, Toshiba Corporation

    • Applications: IPM Motor and Motor
    • Physical Phenomena: Magnetic Field and Material
    • Technical Themes: Design Exploration / Optimization

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

    Tomoya Ueda, NIDEC CORPORATION

    • Applications: IPM Motor and Motor
    • Physical Phenomena: Magnetic Field
    • Technical Themes: AI / Machine Learning, Design Exploration / Optimization, and Large-Scale Processing

  8. 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

    • Applications: IPM Motor and Motor
    • Physical Phenomena: Magnetic Field, Material, Structural, and Thermal
    • Technical Themes: Design Exploration / Optimization, Efficiency map, and Multiphysics

  9. [JAC268] SPM Motor Teeth Geometry Topology Optimization

    In this example, the on / off method is used to search for stator teeth geometry that maximizes average torque and minimizes torque ripple with the entire areas of stator teeth ti…

    • Applications: Motor and SPM Motor
    • Physical Phenomena: Magnetic Field

  10. [JAC233] Induction Heating Coil Optimization

    In this example, an example of using an optimization function to design a coil to use for induction hardening a gear is presented.

    • Applications: Induction Heating
    • Physical Phenomena: Magnetic Field and Thermal
    • Technical Themes: Design Exploration / Optimization and Multiphysics

  11. [W-OP-96] Necessity of GA for Multi-Objective Optimization of Drive Motor

    In this paper, the multi-objective optimization calculation has 12 design variables (8 geometric variables, 4 circuit variables) with 6 objective functions (maximize torque, minim…

    • Applications: IPM Motor and Motor
    • Physical Phenomena: Magnetic Field and Structural
    • Technical Themes: Design Exploration / Optimization

  12. [L-OP-34] Using MATLAB’s Optimization Engine in JMAG

    MATLAB is widely used in the engineering field, and the MATLAB Global Optimization Toolbox is often used for optimization calculations also.

    • Technical Themes: Design Exploration / Optimization

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

    Hajime Igarashi, Hokkaido University

    • Applications: IPM Motor, Motor, and Wireless Power Transfer
    • Physical Phenomena: Magnetic Field
    • Technical Themes: AI / Machine Learning and Design Exploration / Optimization

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

    Yuki Shimizu, Osaka Prefecture University

    • Applications: IPM Motor and Motor
    • Physical Phenomena: Magnetic Field
    • Technical Themes: AI / Machine Learning and Design Exploration / Optimization

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

    Yuki Sato, Texas Instruments Japan Limited

    • Applications: Transformer / Reactor
    • Physical Phenomena: Magnetic Field
    • Technical Themes: AI / Machine Learning and Design Exploration / Optimization

  16. Application of SIMP-based Topology Optimization in JMAG

    Sukhwa Jung, DENSO CORPORATION

    • Applications: IPM Motor, Linear Solenoid / Linear Actuator, and Motor
    • Physical Phenomena: Magnetic Field
    • Technical Themes: Design Exploration / Optimization

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