• DocumentCode
    993476
  • Title

    An adaptive Newton-Raphson technique for combined vector-scalar potential solutions of large scale 3D magnetic field problems involving anisotropic materials

  • Author

    Demerdash, N.A. ; Wang, R. ; Alhamadi, M.A.

  • Author_Institution
    Clarkson Univ., Potsdam, NY, USA
  • Volume
    29
  • Issue
    2
  • fYear
    1993
  • fDate
    3/1/1993 12:00:00 AM
  • Firstpage
    1950
  • Lastpage
    1957
  • Abstract
    An adaptive Newton-Raphson (ANR) technique for handling magnetic material nonlinearities in large-scale 3-D magnetic field problems, for use in conjunction with combined vector-scalar potential 3-D finite element (FE) formulations, is presented. This ANR iterative technique enhances the quality of convergence of the magnetic field solution, as evidenced by a truly 3-D magnetic field case study of a modified Lundell alternator (MLA) performed using CRAY-YMP supercomputers. The method worked very well in the case study of a 14.3-kVA MLA, in which the number of Fe grid tetrahedrons exceeded 113000 with more than 20000 magnetic scalar potential (MSP) unknowns. The results compared very well with corresponding experimental test data
  • Keywords
    alternators; finite element analysis; iterative methods; magnetic fields; power engineering computing; 14.3 kVA; 3D finite element methods; CRAY-YMP supercomputers; Fe grid tetrahedrons; adaptive Newton-Raphson technique; anisotropic materials; iterative technique; large scale 3D magnetic field problems; magnetic material nonlinearities; magnetic scalar potential; modified Lundell alternator; vector-scalar potential; vector-scalar potential solutions; Alternators; Anisotropic magnetoresistance; Finite element methods; Iron; Large-scale systems; Magnetic anisotropy; Magnetic cores; Magnetic fields; Nonlinear magnetics; Perpendicular magnetic anisotropy;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.250791
  • Filename
    250791