• DocumentCode
    3566068
  • Title

    Efficient multiphysics modelling of vibration and acoustic noise in switched reluctance motor drives

  • Author

    Chenjie Lin ; Shiliang Wang ; Fahimi, Babak

  • Author_Institution
    Renewable Energy & Vehicular Technol. Lab., Univ. of Texas at Dallas, Richardson, TX, USA
  • fYear
    2014
  • Firstpage
    542
  • Lastpage
    548
  • Abstract
    Acoustic noise has been reported as a major problem in Switched Reluctance Machines (SRMs) for noise sensitive applications. This issue has drawn significant attention over the past decades. In this paper, a numerical method used to predict vibration with high computational efficiency is introduced. The accuracy of this method is demonstrated by the comparison of the calculated results and the multiphysics Finite Element Analysis (FEA) simulation. Finally, based on this method, a fast process for the optimal design of the stator frame is proposed to reduce the vibration and acoustic noise in SRMs.
  • Keywords
    acoustic noise; finite element analysis; reluctance motor drives; vibrations; FEA simulation; acoustic noise; multiphysics finite element analysis simulation; switched reluctance machines; switched reluctance motor drives; vibration multiphysics modelling; Acceleration; Acoustic noise; Computational modeling; Mathematical model; Reluctance machines; Stators; Vibrations; acoustic noise; switched reluctance machine; vibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2014 - 40th Annual Conference of the IEEE
  • Type

    conf

  • DOI
    10.1109/IECON.2014.7048553
  • Filename
    7048553