A parameterized mesh generation and refinement method for finite element magnetic field computation and its application in optimal design of electric motors

Huijuan Liu, Weinong Fu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)

Abstract

A parameterized mesh generation is presented for optimal design of electric motors. The advantages of the method are distinct in that the method is remeshing-free, thus it can significantly reduce the numerical simulation time during the finite element analysis process. The refinement procedure is accomplished in an adaptive manner and swapping diagonal technique to concentrate the mesh vertices to regions with large solution variations. A high quality mesh can be obtained and kept by using this method with triangular finite elements. Based on the sample points obtained from FEM with parameterized mesh, the optimal model is reconstructed using the response surface methodology (RSM). The particle swarm optimization (PSO) method is then used to arrive at the optimal solution swiftly and efficiently. Two examples of optimal design of electric motors are reported to verify the efficiency and effectiveness of the proposed method. Soc. for Elec. Eng.
Original languageEnglish
Pages (from-to)125-130
Number of pages6
JournalZhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
Volume32
Issue number21
Publication statusPublished - 25 Jul 2012

Keywords

  • Electric motor
  • Finite element method (FEM)
  • Optimal design
  • Parameterized mesh
  • Particle swarm optimization (PSO)
  • Response surface methodology (RSM)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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