• DocumentCode
    382926
  • Title

    Torque characteristics analysis considering the tolerance of electric machine by stochastic response surface method

  • Author

    Kim, Young-Kyoun ; Hong, Jung-Pyo ; Hur, Jin

  • Author_Institution
    Dept. of Electr. Eng., Changwon Nat. Univ., South Korea
  • Volume
    2
  • fYear
    2002
  • fDate
    13-18 Oct. 2002
  • Firstpage
    752
  • Abstract
    Manufacturing tolerances as well as measuring errors have a great influence on products designed by optimization technique etc. to improve its characteristics and reduce the cost. Therefore, a tolerance analysis technique is required to find the tolerance band of design variables and estimate the characteristic distribution of the products. In this paper, the authors introduce a stochastic response methodology (SRSM), which treated design variables as random ones. Also, they present a way of the tolerance analysis from electric viewpoint. A BLDC motor is analyzed to verify the application of this method. Finally, the validity of this method is confirmed by obtaining statistically significant results for torque characteristics of the motor.
  • Keywords
    brushless DC motors; machine theory; optimisation; stochastic processes; surface fitting; tolerance analysis; torque; brushless DC motors; electric machine torque characteristics analysis; manufacturing tolerances; measuring errors; optimization; product characteristic distribution; random design variables; stochastic response methodology; tolerance analysis technique; torque characteristics; Brushless DC motors; Cost function; Design optimization; Electric machines; Manufacturing; Product design; Response surface methodology; Stochastic processes; Tolerance analysis; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 2002. 37th IAS Annual Meeting. Conference Record of the
  • Conference_Location
    Pittsburgh, PA, USA
  • ISSN
    0197-2618
  • Print_ISBN
    0-7803-7420-7
  • Type

    conf

  • DOI
    10.1109/IAS.2002.1042644
  • Filename
    1042644