4.3 Article

An integrated blade optimization approach based on parallel ANN and GA with hierarchical fair competition dynamic-niche

期刊

JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
卷 25, 期 6, 页码 1457-1463

出版社

KOREAN SOC MECHANICAL ENGINEERS
DOI: 10.1007/s12206-011-0413-0

关键词

Blade optimization; Parallel ANN; GA; Hierarchical fair competition; Dynamic-niche; Aerodynamic performances

资金

  1. National Natural Science Foundation of China [50776056]
  2. National 863 Program of China [2009AA05Z201]

向作者/读者索取更多资源

This work presented an available multi-point blade optimization procedure for better aerodynamic performances. Based on the proposed Parallel ANN and GA with hierarchical fair competition dynamic-niche (GA-HFCDN), an integrated approach for the blade optimization design was put forward by combining Bezier parameterization with FINE/TURBO solver. In the optimization design, parallel ANN was employed to build a more proper approximate model. GA-HFCDN was proposed to obtain the global optimization solution more efficiently for the blade design. Two research cases, including plane cascades blade optimization and the optimization and experimental study of a low specific speed centrifugal blower blade, were performed by using the above approach. The conclusions showed the rationality and validity of the optimization approach.

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