• DocumentCode
    1157194
  • Title

    Adaptive improvement of magnetic fields using hierarchal tetrahedral finite elements

  • Author

    Webb, J.P. ; Forghani, B.

  • Author_Institution
    Comput. Anal. & Design Lab., McGill Univ., Montreal, Que., Canada
  • Volume
    30
  • Issue
    5
  • fYear
    1994
  • fDate
    9/1/1994 12:00:00 AM
  • Firstpage
    3511
  • Lastpage
    3514
  • Abstract
    By using hierarchal tetrahedral finite elements, the polynomial order can be increased in poorly discretized regions of a mesh and an improved solution obtained for the magnetic field. An algorithm is proposed which estimates the error in each tetrahedron, by calculating the discontinuity of the normal component of flux density, and automatically adjusts the orders accordingly. Results are presented for an infinite sheet of copper carrying a time-harmonic current, an iron-core magnet excited by a DC coil, and the Bath Plate at 50 Hz. Setting all the elements to the highest order available gives the greatest accuracy, but almost the same accuracy can be obtained with fewer degrees of freedom after several adaptive steps. The cumulative CPU time of these steps is roughly the same as that of the highest-order solution, but significantly less memory is needed, and the adaptive route has the added advantage that it can be stopped at intermediate points if the computer resources run out
  • Keywords
    electromagnets; finite element analysis; magnetic fields; magnetic flux; 50 Hz; Bath Plate; DC coil; adaptive steps; discontinuity; flux density; hierarchal tetrahedral finite elements; iron-core magnet; magnetic fields; normal component; polynomial order; poorly discretized regions; time-harmonic current; Coils; Conductors; Copper; Finite element methods; Laboratories; Magnetic analysis; Magnetic fields; Magnetic flux; Numerical analysis; Polynomials;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.312696
  • Filename
    312696