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离心压缩机叶轮的响应面优化设计Ⅰ:设计方法 被引量:23

RESPONSE SURFACE METHODOLOGY FOR CENTRIFUGAL COMPRESSOR IMPELLER OPTIMIZATION DESIGN PART I: DESIGN METHOD
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摘要 本文详细探讨了将离心叶轮内部的三维粘性流动求解与试验设计技术以及响应面方法相结合的优化设计方法。介绍响应面方法内容,讨论了不同试验设计方法的优缺点,以及 CFD求解中网格的影响。叶轮几何的参数化中叶片采用已知涡分布的逆命题方法构造、子午型线通过B样条曲线形成。应用表明,这是一种快速有效的优化设计方法。 This paper focuses on the optimization design method of centrifugal impeller, which com- bines three dimensional viscosity flow analysis, Design of Experiments (DOE) technology and the Response Surface Methodology (RSM). The RSM is introduced in this paper, the advantage and dis- advantage of different DOE methods and the influence of grid in CFD solution are discussed. In the parameterization of impeller geometry, the blade is constructed by the inverse design method with given vortex distribution and the meridional is described by B-spline. Examples show that this method is fast and effective.
出处 《工程热物理学报》 EI CAS CSCD 北大核心 2004年第3期408-410,共3页 Journal of Engineering Thermophysics
基金 国家自然科学基金(No.50136030)
关键词 离心压缩机 叶轮 响应面 优化设计 三维粘性流动 透平机械 response surface methodology design of experiments optimization design
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参考文献6

  • 1S Pierret, R A Van den Braembussche. Turbomachinery Blade Design Using a Navier-Stokes Solver and Artificial Neural Network. ASME Journal of Turbomachinery,1999, 121:326-332
  • 2Papila N, Shyy W, Griffin L, et al. Shape Optimization of Supersonic Turbines Using Response Surface and Neural Network Methods. In: AIAA 39th Aerospace Sciences Meeting & Exhibit. 2001. Paper No.2001-1065
  • 3Chan-Sol Ahn, Kwang-Yong Kim. Aerodynamic Design Optimization of An axial Flow Compressor Rotor. ASME GT-2002-30445, 2002
  • 4Kosuke Ashihara, Akira Goto. Turbomachinery Blade Design Using 3-D Inverse Design method, CFD and Optimization Algorithm. ASME 2001-GT-0358, 2001
  • 5Duccio Bonaiuti, Andrea Arnone, Mirco Ermini. Analysis And optimization of Transonic Centrifugal Compressor Impellers Using the Design of Experiments Technique.ASME GT-2002-30619
  • 6席光,王晓锋,蒋三红,贾会霞,王尚锦.基于三维粘性流动分析的离心压缩机叶轮设计方法[J].工程热物理学报,2002,23(S1):54-57. 被引量:10

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