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  • 标题:Design of The Thick Wind Turbine Airfoil Based on An Improved MOPSO Algorithm
  • 本地全文:下载
  • 作者:Xinxiang Huang ; Xiaofeng Guo ; Ren Zhang
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2020
  • 卷号:619
  • 期号:1
  • DOI:10.1088/1755-1315/619/1/012056
  • 语种:English
  • 出版社:IOP Publishing
  • 摘要:The design of a thick wind turbine airfoil is a multi-constraint and multi-objective optimal problem. In order to make the thick airfoil with a blunt trailing-edge have better aerodynamic and structural performance simultaneously, a new method for thick airfoil optimal design based on an improved MOPSO algorithm was presented in this paper. To show the performance of the new design technique, the optimization is accomplished on the wind turbine airfoils with a 40% maximum relative thickness, and the Pareto-optimal set is obtained. The representative airfoils are picked, analyzed, and compared with a traditional wind turbine airfoil (DU00-W2-401) at Re=2×106 for free and fixed transitions, the results show that the new airfoils have better performance than the DU00-W2-401.
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