Stochastic topology optimization based on level-set method

• Yuki Hidaka ^[1] ; Takahiro Sato ^[1] ; Kota Watanabe ^[2] ; Hajime Igarashi ^[1]
  1. [1] Hokkaido University

     Hokkaido University

     Chūō-ku, Japón

     
  2. [2] Muroran Institute of Technology

     Muroran Institute of Technology

     Japón

     
• Localización: Compel: International journal for computation and mathematics in electrical and electronic engineering, ISSN 0332-1649, Vol. 33, Nº 6 (Special Issue: Theoretical Electrical Engineering), 2014, págs. 1904-1919
• Idioma: inglés
• Enlaces
  • Texto completo
• Resumen

  • Purpose – Conventional level-set method tends to fall into local optima because optimization is conducted based on gradient method. The purpose of this paper is to develop a novel topology optimization in which simulated annealing (SA) is introduced to overcome the difficulties in level-set method.

    Design/methodology/approach – Level-set based topology optimization for two-dimensional optimization problem.

    Findings – It is shown in the numerical examples, where conventional and present methods are applied to shape optimization of ferrite inductor and Interior Permanent Magnetic (IPM)-motor, the present method can find solutions with better performance than those obtained by the conventional method.

    Originality/value – SA is introduced to improve the search performances of level-set method.