大连海事大学学报 >
2018 , Vol. 44 >Issue 1: 99 - 106
DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2018.01.015
基于弯掠参数控制的压气机动叶优化设计
收稿日期: 2017-08-02
修回日期: 2017-09-19
网络出版日期: 2017-09-19
基金资助
国家自然科学基金资助项目(51309063;51679051);中央高校基本科研业务费专项资金资助项目(HEUCFP201720).
Optimization design of compressor rotor based on bending-swept parameter control
Received date: 2017-08-02
Revised date: 2017-09-19
Online published: 2017-09-19
王忠义 , 曲锋 , 万雷 , 王萌 . 基于弯掠参数控制的压气机动叶优化设计[J]. 大连海事大学学报, 2018 , 44(1) : 99 -106 . DOI: 10.16411/j.cnki.issn1006-7736.2018.01.015
The performance of NASA Stage35 single stage axial compressor prototype was calculated by numerical simulation. The parameterized fitting of the rotor in the compressor was performed by selecting the reasonable number of the control points of Bezier and B-spline curve to produce a suitable parameterized geometric. Through controlling bending-swept characteristics parameter, the optimization design of compressor rotor was carried out by using artificial neural network and genetic algorithm for the purpose of adiabatic efficiency improvement. Compared with the reference blade, the aerodynamic performances of the optimized blade are improved obviously. The shock position can be changed by optimizing the bending-swept characteristics of the moving blade. The area of boundary layer and loss can be decreased, the structure of flow can be optimized, and the adiabatic efficiency of the compressor can be improved effectively.
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