Self-adaptive center-mutation differential evolution and its application to shape optimization design of a turbine blade

被引：0

作者：

Chi, Yuan-Cheng ^{[1
]}

Fang, Jie ^{[1
]}

Rao, Da-Lin ^{[1
]}

Cai, Guo-Biao ^{[1
]}

机构：

[1] School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

来源：

Hangkong Dongli Xuebao/Journal of Aerospace Power | 2010年 / 25卷 / 08期

关键词：

Shape optimization - Engines - Rockets - Computer aided design - Evolutionary algorithms - Turbine components - Computational fluid dynamics - Computer aided analysis - Computational geometry - Efficiency;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A self-adaptive center-mutation differential evolution (SCDE) was developed for the high-dimension complex optimization problems, and applied to the high fidelity aerodynamic optimization design of the multi-stage oxidizer turbine blade shapes for cryogenic rocket engines. Performances of design candidates were evaluated by the turbine efficiency based on three-dimensional airfoil geometry design and single-channel flow analysis using commercially available CAD (computer aided design) and CFD (computational fluid dynamics) packages. The reasonable solution is finally achieved, namely, turbine efficiency of the optimal design is 5.25% higher than that of the original one.

引用

页码：1849 / 1854

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