• DocumentCode
    114185
  • Title

    Modal analysis and linear static structure analysis of linear switched reluctance motor

  • Author

    Chong-ming Liu ; Guang-Zhong Cao ; Su-Dan Huang ; Yan Liu

  • Author_Institution
    Shenzhen Key Lab. of Electromagn. Control, Shenzhen Univ., Shenzhen, China
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    467
  • Lastpage
    470
  • Abstract
    In order to study the mechanical characteristics of the linear switched reluctance motors (LSRMs), modal analysis and linear static structure analysis of a LSRM is investigated in this paper. Basic theories of modal analysis and linear static structure analysis are stated. The structure of the LSRM is illustrated. And the modal analysis and linear static structure analysis by finite element method are demonstrated based on ANSYS workbench. The first six natural frequencies with the corresponding mode shapes and the deformation of the LSRM are obtained. The results show that the first six natural frequencies of the LSRM range from 2244.7 Hz to 4033.1 Hz, the deformation of the LSRM is within 0.0020546 mm under the largest normal force, and the easiest deformation part of the LSRM is the mover platform. The results verify that the mechanical design of the LSRM is reasonable.
  • Keywords
    deformation; finite element analysis; linear motors; modal analysis; reluctance motors; ANSYS workbench; LSRM; finite element method; frequency 2244.7 Hz to 4033.1 Hz; linear static structure analysis; linear switched reluctance motor; modal analysis; Coils; Finite element analysis; Force; Modal analysis; Resonant frequency; Shape; Switched reluctance motors; finite element analysis; linear structure static analysis; linear switched reluctance motor; modal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/ICIST.2014.6920518
  • Filename
    6920518