Technical Papers
Sep 22, 2015

Pipe Routing Approach for Aircraft Engines Based on Ant Colony Optimization

Publication: Journal of Aerospace Engineering
Volume 29, Issue 3

Abstract

Aircraft engines usually contain a lot of pipes and cables whose routing design greatly affects engine performance and reliability. In this paper a pipe routing approach for aircraft engines based on ant colony optimization is proposed, which contains improvements in three aspects. First, constraints over aircraft engine pipe routing are formulated and classified with respect to nine aspects. Second, a fan annual mesh of the layout space is developed, and two-mesh division is conducted to store and update environmental information about the layout space. Every unit obtained by the layout space modeling has been assigned a potential value to meet constraints and represent different areas in the layout space. Third, an improved ant colony optimization is developed for pipe routing, which includes the classification of ant colony, rank mechanism updating rule of pheromone intensity, and a dynamic updating rule of heuristic information. Every ant can search for 26 adjacent units in random directions and across layers. Simulation results show that the proposed pipe routing approach is effective.

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Acknowledgments

The authors thank the editor and anonymous reviewers for their helpful comments and suggestions. The work was supported by the National Natural Science Foundation of China (Grant 51175341).

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 29Issue 3May 2016

History

Received: Mar 11, 2014
Accepted: Jul 1, 2015
Published online: Sep 22, 2015
Discussion open until: Feb 22, 2016
Published in print: May 1, 2016

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Authors

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Ph.D. Student, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiaotong Univ., Shanghai 200240, China. E-mail: [email protected]
Professor, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiaotong Univ., Shanghai 200240, China (corresponding author). E-mail: [email protected]
GenYuan Gao [email protected]
Ph.D. Student, School of Mechanical Engineering, Shanghai Jiaotong Univ., Shanghai 200240, China. E-mail: [email protected]
M.S. Student, School of Mechanical Engineering, Shanghai Jiaotong Univ., Shanghai 200240, China. E-mail: [email protected]

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