• DocumentCode
    133003
  • Title

    Prediction and experimental verification of core loss and temperature distribution for geometrically scaled finemet toroids using finite element analysis

  • Author

    Grainger, Brandon M. ; Scioscia, Oreste ; McDermott, T.E. ; Reed, Gregory F. ; Lin, E.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Pittsburgh, Pittsburgh, PA, USA
  • fYear
    2014
  • fDate
    16-20 March 2014
  • Firstpage
    2615
  • Lastpage
    2620
  • Abstract
    Nanocomposites are becoming known as a class of materials that possess the capability to operate at high switching frequencies and handle high power levels. Understanding how their loss characteristics scale and thermal behaviors change as core geometries are altered is vital when designing for grid applications. This article utilizes ANSYS Maxwell finite element analysis (FEA) software to predict the Steinmetz coefficients associated with the core loss in toroids that geometrically vary. Results of the simulation are supported with experimental verification. Secondly, this article experimentally shows temperature contour variation with changes in toroid geometry pulsed with a 20 kHz switching square wave that could be predicted using FEA.
  • Keywords
    Maxwell equations; computational electromagnetics; finite element analysis; geometry; solenoids; temperature distribution; ANSYS Maxwell finite element analysis software; FEA software; Steinmetz coefficients prediction; core loss; geometrically scaled FINEMET toroids; switching square wave; temperature contour variation; temperature distribution; toroid geometry; Conductors; Core loss; Geometry; Magnetic cores; Materials; Software; Windings; Finite Elements; Magnetics; Scaling; Steinmetz Coefficients; Temperature; Toroids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Power Electronics Conference and Exposition (APEC), 2014 Twenty-Ninth Annual IEEE
  • Conference_Location
    Fort Worth, TX
  • Type

    conf

  • DOI
    10.1109/APEC.2014.6803673
  • Filename
    6803673