A new pipe routing method for aero-engines based on genetic algorithm

被引:48
|
作者
Ren, Tao [1 ]
Zhu, Zhi-Liang [1 ]
Dimirovski, Georgi M. [2 ,3 ]
Gao, Zhen-Hua [4 ]
Sun, Xiao-Huan [5 ]
Yu, Hai [1 ]
机构
[1] Northeastern Univ, Software Coll, Shenyang, Peoples R China
[2] Dogus Univ Istanbul, Istanbul, Turkey
[3] SS Cyril & Methodius Univ, Skopje, Macedonia
[4] Hydro China Huadong Engn Corp, Hangzhou, Zhejiang, Peoples R China
[5] 606 Inst Chinese Aeronaut Estab, Shenyang, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
optimization; genetic algorithms; search space subdividing; Aero-engines; pipe-routing; OPTIMIZATION; GENERATION; LAYOUT;
D O I
10.1177/0954410012474134
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
A new pipe-routing method for aero-engines is proposed in this article. Careful consideration of the spatial characteristics and the primary engineering constraints of aero-engines yielded a new space representation method as well as a space diving method for the aero-engine surface, which simplify the searching space. A genetic algorithm, along with certain modified strategies, including the 'initiation' and 'direction guideline', is also developed for pipe-routing in the sub-spaces. Simulation experiments in the context of various scenes have been carried out to explore the applicability and performance of the propose method. Simulation results showed that this novel method can quickly deliver the optimal routes for any aero-engine of large space and with complex mechanical components while avoiding convergence into local optimal value in comparison with some existing published methods.
引用
收藏
页码:424 / 434
页数:11
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