CPU-time Reduction for Electric Machine Design by the Response Surface Methodology

Yasushi Fujishima*, Shinji Wakao, Koichi Matsuoka, Minoru Kondo

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


This article presents a fundamental study on the application of the response surface methodology to design optimization of electric machines as an effective computational approach. As usual, in designing electric machines, it is difficult to achieve an effective optimal solution by using the FEM within an acceptable CPU-time. In this article, the response surface methodology (RSM) is introduced into the design optimization approach to evaluate the objective physical quantities in much shorter time. In the RSM process, to achieve the high quality optimal solutions, it is very important to make the response surface of high quality approximation in search domains. For that reason, Design of Experiments (DOE) is applied to obtain the appropriate selections of the FEM calculating points. Additionally, the effective iterative approach is developed, which properly narrows the search domains around the solution candidates. The proposed optimization approach results in an overall increase in the optimization speed without degrading the quality of optimal solutions. Some numerical examples that demonstrate the validity of the proposed approach are also presented.

Original languageEnglish
Pages (from-to)371-378
Number of pages8
Journalieej transactions on industry applications
Issue number4
Publication statusPublished - 2003 Sept 1


  • design of experiments
  • design optimization
  • electric machines
  • magnetic field computation
  • response surface methodology

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


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