Improving design of airfoil with genetic algorithm (GA) combined with inverse design method

Hao Zhan, Jun Zhu, Junqiang Bai, Zhenghong Gao

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

We now propose using GA combined with inverse design method with a view to retaining the advantages as much as possible while minimizing the disadvantages. We use GA, which is based on distributed computing, to enhance the efficiency of low-precision CFD optimization to provide suitable target pressure distribution of inverse design; then we use inverse design method combined with high-precision CFD analysis to enhance quality of design results. Numerical results of a design example show preliminarily that our hybrid design method and software are robust and provide practical tools for the design of aerodynamic configurations.

Original languageEnglish
Pages (from-to)541-543
Number of pages3
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume24
Issue number5
StatePublished - Oct 2006

Keywords

  • Genetic algorithm (GA)
  • Inverse design
  • Optimization

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