• DocumentCode
    3046135
  • Title

    The research on defect recognition method for rail magnetic flux leakage detecting

  • Author

    Gao, Junshan ; Yu, Wei ; He, Chen

  • Author_Institution
    Sch. of Autom., Harbin Univ. of Sci. & Technol., Harbin, China
  • Volume
    2
  • fYear
    2012
  • fDate
    18-20 May 2012
  • Firstpage
    745
  • Lastpage
    750
  • Abstract
    In this paper, the ANSYS finite element software was used to establish a two-dimensional mathematical model of defect leakage field for the simulation of the cracks, cone-shaped, pits and other regular defects of rail with the FEM simulation method, through which axial and radial magnetic flux density distribution curves and other data of defect leakage field was acquired. By comparison of the simulation data and peak, peak-valley, peak-valley spacing and other characteristic values of the leakage magnetic flux density curves, the characteristics of different defect types and identical defect types of magnetic leakage signal was acquired to identify the defect information such as defect types, internal or external distribution, shapes and dimensions and other information.
  • Keywords
    cracks; flaw detection; magnetic field effects; magnetic field measurement; magnetic flux; physics computing; rails; ANSYS; FEM simulation; cone-shaped rail; cracks; defect leakage field; defect recognition method; finite element software; pits; rail magnetic flux leakage detecting; two-dimensional mathematical model; Analytical models; Finite element methods; Magnetic analysis; Magnetic flux density; Magnetic flux leakage; Mathematical model; Shape; ANSYS; defect recognition; magnetic flux leakage detecting; rail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measurement, Information and Control (MIC), 2012 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1601-0
  • Type

    conf

  • DOI
    10.1109/MIC.2012.6273398
  • Filename
    6273398