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PIER PIER B PIER C PIER M PIER Letters
2011-05-06
Optimum Design for Improving Modulating-Effect of Coaxial Magnetic Gear Using Response Surface Methodology and Genetic Algorithm
By
Linni Jian,

    Dr. Linni Jian

    Shenzhen Institutes of Advanced Technology, CAS

    China

    Homepage

Guoqing Xu,

    Dr. Guoqing Xu

    Shenzhen Institute of Advanced Integration Technology, Chinese Academy of Sciences

    China

    Homepage

Jianjian Song,

    Mr. Jianjian Song

    Shenzhen Institute of Advanced Integration Technology, Chinese Academy of Sciences

    China

    Homepage

Honghong Xue,

    Dr. Honghong Xue

    School of Mathematics and Statistics

    Huazhong Normal University

    China

    Homepage

Dongfang Zhao,

    Dr. Dongfang Zhao

    School of Mathematics and Statistics

    Huazhong Normal University

    China

    Homepage

Jianing Liang

    Dr. Jianing Liang

    Shenzhen Institute of Advanced Integration Technology, Chinese Academy of Sciences

    China

    Homepage

Progress In Electromagnetics Research, Vol. 116, 297-312, 2011
doi:10.2528/PIER11032316
Abstract
Coaxial magnetic gear (CMG) is a non-contact device for torque transmission and speed variation which exhibits promising potential in several industrial applications, such as electric vehicles, wind power generation and vessel propulsion. CMG works lying on the modulating-effect aroused by the ferromagnetic segments. This paper investigates the optimum design for improving the modulating-effect. Firstly, the operating principle and the modulating-effect is analyzed by using 1-D field model, which demonstrates that the modulatingeffect is essential for the torque transmission capacity of CMGs, and the shape of the ferromagnetic segments have impact on the modulatingeffect. Secondly, the fitted model of the relationship between the maximum pull-out torque and the shape factors including radial height, outer-edge width-angle and inner-edge width-angle is built up by using surface response methodology. Moreover, FEM is engaged to evaluate its accuracy. Thirdly, the optimum shape of the ferromagnetic segment is obtained by using genetical algorithm.
Citation
Linni Jian, Guoqing Xu, Jianjian Song, Honghong Xue, Dongfang Zhao, and Jianing Liang, "Optimum Design for Improving Modulating-Effect of Coaxial Magnetic Gear Using Response Surface Methodology and Genetic Algorithm," Progress In Electromagnetics Research, Vol. 116, 297-312, 2011.
doi:10.2528/PIER11032316
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