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An integrated blade optimization approach based on parallel ANN and GA with hierarchical fair competition dynamic-niche
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  • An integrated blade optimization approach based on parallel ANN and GA with hierarchical fair competition dynamic-niche
  • An integrated blade optimization approach based on parallel ANN and GA with hierarchical fair competition dynamic-niche
저자명
Zhang. Bin,Wang. Tong,Gu. Chuan-Gang,Shu. Xin-Wei
간행물명
Journal of mechanical science and technology
권/호정보
2011년|25권 6호|pp.1457-1463 (7 pages)
발행정보
대한기계학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

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.