• DocumentCode
    715566
  • Title

    Prediction of the asymptotical magnetic polarization tensors for cylindrical samples using the boundary element method

  • Author

    Mingyang Lu ; Qian Zhao ; Peipei Hu ; Wuliang Yin ; Peyton, Anthony J.

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
  • fYear
    2015
  • fDate
    13-15 April 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The magnetic polarization tensor is a frequency-dependent, rotation-invariant and object-specific property of a metallic object. This paper presents an approach to compute the magnetic polarization tensor of a metallic object based on the Boundary Element Method (BEM), which treats the object as a perfect electrical conductor (PEC) and therefore is able to predict the limiting cases where very high frequency and/or high conductivity is assumed. A uniform magnetic field is applied to an object and the scattered field at a certain distance is obtained in the simulations. The magnetic tensor can then be deduced from the scattered field. The simulated results agree well with an analytical solution for spheres and with measured results for a number of cylinders for limiting cases.
  • Keywords
    boundary-elements methods; conductors (electric); electromagnetic wave polarisation; electromagnetic wave scattering; magnetic sensors; metal detectors; BEM; PEC; asymptotical magnetic polarization tensor prediction; boundary element method; cylindrical samples; frequency dependent property; metallic object; object specific property; perfect electrical conductor; rotation invariant property; scattered field; uniform magnetic field; Magnetic field measurement; Magnetic separation; Magnetometers; Metals; Pollution measurement; Tensile stress; BEM; Magnetic polarization; PEC; metal detection; tensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors Applications Symposium (SAS), 2015 IEEE
  • Conference_Location
    Zadar
  • Type

    conf

  • DOI
    10.1109/SAS.2015.7133631
  • Filename
    7133631