• DocumentCode
    1074143
  • Title

    New magnetic parameters to characterize cold-rolled motor lamination steels and predict motor performance

  • Author

    Blazek, Kenneth E. ; Riviello, Craig

  • Author_Institution
    Res. Dept., Ispat Inland Steel, East Chicago, IN, USA
  • Volume
    40
  • Issue
    4
  • fYear
    2004
  • fDate
    7/1/2004 12:00:00 AM
  • Firstpage
    1833
  • Lastpage
    1838
  • Abstract
    We have adapted an analytical computer model, RMxprt, to predict the operating parameters of both single-phase and three-phase induction motors as a function of motor lamination material property curves. The model uses newly defined parameters, integrated average core loss (IACL) and integrated average permeability (IAP), rather than the material characteristic commonly used today, 1.5-T permeability, which is not effective in predicting motor efficiency. IACL and IAP have been shown to be excellent predictive parameters of the efficiency of motors, and these parameters are considered the best for specifying motor laminations. IACL is closely correlated with the 1.5-T core loss and IAP is closely correlated with the 1.0-T permeability and, for semiprocessed materials, the 1.5-T core loss. Therefore, the 1.5-T core loss alone can be used to specify semiprocessed cold-rolled motor lamination materials for motors. For all cases studied, directionally averaged IACL and IAP are almost the same as the L&T Epstein pack properties. Therefore, the L&T Epstein pack properties, obtained by conventional Epstein testing, can be used in lieu of the directionally averaged properties.
  • Keywords
    eddy current losses; ferromagnetic materials; finite element analysis; induction motors; iron alloys; laminations; permeability; AC motors; Epstein testing; L&T Epstein pack properties; RMxprt; analytical computer model; cold-rolled steels; eddy-current losses; electromagnetic analysis; ferromagnetic materials; finite-element analysis; induction motors; integrated average core loss; integrated average permeability; iron alloys; lamination material property curve; magnetic parameters; magnetic permeability; magnetic variables measurement; modeling; motor efficiency prediction; motor lamination steels; motor performance; semiprocessed materials; Analytical models; Core loss; Induction motors; Lamination; Magnetic analysis; Material properties; Permeability; Predictive models; Steel; Testing; AC motors; current; eddy-current losses; electromagnetic analysis; ferromagnetic materials; finite-element analysis; induction motors; iron alloys; magnetic permeability; magnetic variables measurement; modeling;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2004.827178
  • Filename
    1325350