• DocumentCode
    2612642
  • Title

    An optimal material distribution design of Brushless DC motor by genetic algorithm considering a cluster of material

  • Author

    Ishikawa, Takeo ; Yonetake, Kouki ; Kurita, Nobuyuki

  • Author_Institution
    Dept. of Electron. Eng., Gunma Univ., Kiryu, Japan
  • fYear
    2010
  • fDate
    9-12 May 2010
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Summary form of only given: This paper proposes a topology optimization method to optimize the material distribution of electrical machines using Genetic Algorithm (GA). In the method, a cluster of material is taken into account to form a group of iron. Moreover, the GA is iterated with the newly increased length of genes. The proposed method is applied to the topology optimization of the stator teeth in a Brushless DC motor.
  • Keywords
    brushless DC motors; genetic algorithms; brushless DC motor; electrical machines; genetic algorithm; material cluster; optimal material distribution design; topology optimization method; Algorithm design and analysis; Brushless DC motors; Design optimization; Genetic algorithms; Iron; Optimization methods; Shape; Stators; Topology; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-7059-4
  • Type

    conf

  • DOI
    10.1109/CEFC.2010.5481675
  • Filename
    5481675
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2612642