Group-based multiple pipe routing method for aero-engine focusing on parallel layout

2021 ◽  
Author(s):  
Hexiang Yuan ◽  
Jiapeng Yu ◽  
Duo Jia ◽  
Qiang Liu ◽  
Hui Ma
Keyword(s):  
Pipe Routing ◽  
Aero Engine ◽  
Routing Method

scholarly journals A Pipe Routing Method Considering Vibration for Aero-Engine Using Kriging Model and NSGA-II

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 6286-6292 ◽  
Author(s):  
Qiang Liu ◽  
Guoshuai Jiao
Keyword(s):  
Kriging Model ◽  
Nsga Ii ◽  
Pipe Routing ◽  
Aero Engine ◽  
Routing Method

Ship Pipe Routing Method Based on Genetic Algorithm and Cooperative Coevolution

2017 ◽  
Vol 33 (02) ◽  
pp. 122-134
Author(s):  
Zongran Dong ◽  
Yan Lin
Keyword(s):  
Genetic Algorithm ◽  
Cell Decomposition ◽  
Test Case ◽  
Combinatorial Explosion ◽  
Pipe Routing ◽  
Routing Method ◽  
Single Pipe ◽  
Algorithm Implementation ◽  
Crossover And Mutation ◽  
Practical Constraints

Pipe routing is one of the most time-consuming and complicated jobs in shipbuilding design. This article presents the automatic ship pipe routing method. To improve the efficiency of single pipe routing, the fixed-length encoding genetic algorithm (GA) is first used by connecting adjacent intermediate points with generated pipe segments according to the specific routing patterns. The crossover and mutation operations are designed on the basis of this encoding as well. In case of the routing for multi pipes or pipe with branches, cooperative coevolutionary GA is adopted to route pipes harmoniously and to reduce the risk of combinatorial explosion caused by the number of pipes. During algorithm implementation and the building of cell decomposition model, the practical constraints in ship piping have been taken into account. In the end, the efficiency and feasibility of the proposed approach are illustrated by solving problems in designed test case and real ship applications.

A Novel Human–Machine Collaborative Interface for Aero-Engine Pipe Routing

2013 ◽  
Vol 9 (4) ◽  
pp. 2187-2199 ◽  
Author(s):  
Yue H. Yin ◽  
Li Da Xu ◽  
Zhuming Bi ◽  
Hao Chen ◽  
Chen Zhou
Keyword(s):  
Pipe Routing ◽  
Aero Engine

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

2013 ◽  
Vol 228 (3) ◽  
pp. 424-434 ◽  
Author(s):  
Tao Ren ◽  
Zhi-Liang Zhu ◽  
Georgi M Dimirovski ◽  
Zhen-Hua Gao ◽  
Xiao-Huan Sun ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Pipe Routing ◽  
Routing Method ◽  
Aero Engines

A graph-based pipe routing algorithm in aero-engine rotational space

2013 ◽  
Vol 26 (6) ◽  
pp. 1077-1083 ◽  
Author(s):  
Qiang Liu ◽  
Chengen Wang
Keyword(s):  
Routing Algorithm ◽  
Pipe Routing ◽  
Aero Engine ◽  
Rotational Space

Research on the Automatic and Optimized Pipe Routing Layout for Aero-Engines Based on Improved Artificial Fish Swarm Algorithm

2013 ◽  
Vol 437 ◽  
pp. 275-280 ◽  
Author(s):  
Yu Zhang ◽  
Xiao Lan Bai
Keyword(s):  
Rapid Development ◽  
Local Optimum ◽  
Artificial Fish Swarm Algorithm ◽  
Pipe Routing ◽  
Aero Engine ◽  
Artificial Fish Swarm ◽  
Swarm Algorithm ◽  
Aero Engines ◽  
The Mathematical Model

With the rapid development of aerospace industries, how to realize the automatic and optimized pipe-routing layout for the aero-engine has become a hot issue to be urgently solved. For the issue, a novel automatic and optimized pipe-routing layout method based on the improved artificial fish swarm algorithm was put forward in this paper. First, the mathematical model of the pipe-routing layout problem was established. Then, in view of the deficiencies of the artificial fish swarm algorithm,chaos mutation was used to carry out easy and rapid searching as well as robust escape from the local optimum,and gradient setting was used to raise the convergence speed and the solving accuracy.Further, the improved artificial fish swarm algorithm was applied to the pipe-routing layout for the aero-engine. At the end, the effectiveness and feasibility of the proposed method was proved by a case study.

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