• DocumentCode
    1428682
  • Title

    Using the FEM Meshes Adaption and Genetic Algorithms for Identification of Permeability in Normal Direction of Anisotropic Sheets

  • Author

    Komeza, K. ; Juszczak, E. Napieralska ; Barba, P. Di ; Napieralski, P. ; Lecointe, J.P. ; Hihat, N.

  • Author_Institution
    Inst. of Mechatron. & Inf. Syst., Tech. Univ. of Lodz, Lodz, Poland
  • Volume
    48
  • Issue
    2
  • fYear
    2012
  • Firstpage
    211
  • Lastpage
    214
  • Abstract
    This paper proposes the identification of the B-H curve of anisotropic magnetic laminations in the direction normal to the sheet surface. An automated procedure for linking an identification algorithm implemented in a Matlab environment with a commercial finite-element code Opera for 3-D magnetic field analysis has been used. In particular, an optimization procedure is proposed, where the computation time is reduced by adjusting the refinement of the FEM mesh. The use of a multiprocessor computer allowed to perform parallel computations and to realize the calculation in a reasonable time. The finite element mesh density is changed during operation of the procedure depending on the level of magnetic flux density difference between calculation and measurements.
  • Keywords
    genetic algorithms; interface magnetism; laminates; magnetic anisotropy; magnetic flux; magnetic permeability; mesh generation; parallel algorithms; physics computing; 3D magnetic field analysis; B-H curve identification; FEM mesh adaption; FEM mesh refinement; Matlab environment; anisotropic magnetic laminations; anisotropic sheet direction; automated procedure; computation time; finite element mesh density; finite-element code Opera; genetic algorithms; identification algorithm; magnetic flux density difference level; multiprocessor computer; optimization procedure; parallel computations; permeability identification; sheet surface; Air gaps; Current measurement; Genetic algorithms; Optimization; Perpendicular magnetic anisotropy; Saturation magnetization; Adaptive mesh refinement; electromagnetic measurements; finite element methods; genetic algorithms; magnetic anisotropy; parallel algorithms;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2011.2172396
  • Filename
    6136718