A progressive optimization for the inverse design of blade profile based on sequential quadratic programming

X. Y. Nan, B. Liu, J. Jin

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

In this paper, the potential-stream function method, a very efficient computational method for the inverse design of two-dimensional compressor blades in transonic flow conditions is presented. By investigating the influence of the prescribed velocity coefficient distribution on the blade surface, it is found that the non-physical solution usually obtained by the general inverse method could be effectively avoided by adjusting the local velocity coefficient distribution. The objective functions were set-up for the leading edge, trailing edge closing problems, and outlet flow angle, respectively, for the numerical optimization on the basis of sequential quadratic programming. The optimum blade profiles with satisfactory performance and reasonable geometric shape can be obtained by this improved optimization method.

源语言英语
页(从-至)23-31
页数9
期刊Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
221
1
DOI
出版状态已出版 - 1月 2007

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