• DocumentCode
    872918
  • Title

    Algebraic multigrid preconditioning for 3-D magnetic finite-element analyses using nodal elements and edge elements

  • Author

    Mifune, Takeshi ; Isozaki, Satoshi ; Iwashita, Takeshi ; Shimasaki, Masaaki

  • Author_Institution
    Dept. of Electr. Eng., Kyoto Univ.
  • Volume
    42
  • Issue
    4
  • fYear
    2006
  • fDate
    4/1/2006 12:00:00 AM
  • Firstpage
    635
  • Lastpage
    638
  • Abstract
    Most computation costs in magnetic finite-element analyses are consumed solving large-scale linear systems of equations; therefore, the development of fast linear solvers would be effective to reduce the computation time. This research is aimed to develop an efficient algebraic multigrid (AMG) preconditioner for three-dimensional (3-D) magnetic finite-element analyses utilizing nodal and edge elements. A new AMG preconditioner for eddy-current analyses is proposed, which separately treats nodal elements and edge elements in the construction of the coarse grids. Numerical results demonstrated the performances of AMG solvers in magnetostatic analyses and eddy-current analyses. The proposed AMG preconditioner achieves a better convergence than a conventional one in eddy-current analyses
  • Keywords
    eddy currents; finite element analysis; linear differential equations; 3D magnetic finite-element analyses; AMG preconditioner; algebraic multigrid preconditioning; coarse grids construction; eddy-current analyses; edge elements; large-scale linear equation systems; magnetostatic analyses; nodal elements; Computational efficiency; Convergence; Equations; Finite element methods; Large-scale systems; Linear systems; Magnetic analysis; Magnetic separation; Magnetostatics; Performance analysis; Algebraic multigrid (AMG); eddy currents; finite-element methods; preconditioning;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2006.871617
  • Filename
    1608286