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Fast Analysis and Optimization of a Magnetic Gear Based on Subdomain Modeling

Author

Listed:
  • Manh-Dung Nguyen

    (Department of Electrical Engineering, Chungnam National University, Daejeon 34134, Republic of Korea)

  • Woo-Sung Jung

    (Department of Electrical Engineering, Chungnam National University, Daejeon 34134, Republic of Korea)

  • Duy-Tinh Hoang

    (Department of Electrical Engineering, Chungnam National University, Daejeon 34134, Republic of Korea)

  • Yong-Joo Kim

    (Department of Biosystem Machinery Engineering, Chungnam National University, Daejeon 34134, Republic of Korea)

  • Kyung-Hun Shin

    (Department of Electrical Engineering, Changwon National University, Changwon 51140, Republic of Korea)

  • Jang-Young Choi

    (Department of Electrical Engineering, Chungnam National University, Daejeon 34134, Republic of Korea)

Abstract

This study presents a two-dimensional analytical method for fast optimization, taking into consideration the influence of the eddy current in a magnet and iron loss within a coaxial magnetic gear. Subdomain modeling was utilized to obtain vector potentials in the air-gap, magnet, and modulation regions by solving Maxwell’s equations. After that, the magnet, rotor, and modulation losses were predicted and then compared using a finite element method simulation within three topologies with gear ratios ranging from five to six. The authors improved the machine performance, specifically the torque density, by employing a multi-objective function with particle swarm optimization. The flux density obtained using subdomain modeling in just 0.5 s benefits the optimization process, resulting in a torque-density optimal model after around 3 h. A 3/19/16 prototype targeting a low-speed, high-torque, permanent generator application was fabricated to verify the analytical and simulation results.

Suggested Citation

  • Manh-Dung Nguyen & Woo-Sung Jung & Duy-Tinh Hoang & Yong-Joo Kim & Kyung-Hun Shin & Jang-Young Choi, 2024. "Fast Analysis and Optimization of a Magnetic Gear Based on Subdomain Modeling," Mathematics, MDPI, vol. 12(18), pages 1-18, September.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:18:p:2922-:d:1481862
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    References listed on IDEAS

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    1. Wang, Rong-Jie & Gerber, Stiaan, 2014. "Magnetically geared wind generator technologies: Opportunities and challenges," Applied Energy, Elsevier, vol. 136(C), pages 817-826.
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