Technical Papers
Sep 11, 2023

An Automatic Pipe-Routing Algorithm Based on Improved Sine Cosine Algorithm for Complex Space

Publication: Journal of Aerospace Engineering
Volume 36, Issue 6

Abstract

Aimed at solving the problem of automatic pipe routing in complex space, a novel method based on the sine cosine algorithm (SCA) is proposed. First, a three-dimensional environment of pipe routing is built. Then, the geometric interference degree and the total length of the path are taken as the optimization objectives, instead of considering geometric feasibility as a constraint. Afterward, a mutation mechanism is added to the original SCA to enhance the optimization performance of the algorithm. The experimental results of two separate case studies show that the improved SCA (ISCA) performs better than the genetic algorithm (GA) and ant colony optimization (ACO), and achieves a good solution at a fast speed at an early stage of the evolution. Finally, the proposed method is used to solve pipe-routing problem for a fuel tank in aircraft production. The results show that the ISCA has excellent optimization capability in solving the pipe-routing problem.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

This work supported by the Department of Science and Technology of Liaoning Province (Talent of Xing Liao Program, No. XLYC2002086) and Key Laboratory of Fundamental Science for National Defence of Aeronautical Digital Manufacturing Process of Shenyang Aerospace University (SHSYS201805).

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 36Issue 6November 2023

History

Received: Dec 15, 2021
Accepted: Jul 18, 2023
Published online: Sep 11, 2023
Published in print: Nov 1, 2023
Discussion open until: Feb 11, 2024

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Authors

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Lecturer, School of Mechanical and Electrical Engineering, Shenyang Aerospace Univ., Shenyang 110136, China; Key Laboratory of Fundamental Science for National Defense of Aeronautical Digital Manufacturing Process, Shenyang Aerospace Univ., Shenyang 110136, China (corresponding author). Email: [email protected]
School of Mechanical and Electrical Engineering, Shenyang Aerospace Univ., Shenyang 110136, China. Email: [email protected]
Xingtong Fei [email protected]
Dept. of Design, Aviation Industry Corporation of China Shenyang Aircraft Design and Research Institute, Shenyang 110035, China. Email: [email protected]
Dept. of Design, Aviation Industry Corporation of China Shenyang Aircraft Design and Research Institute, Shenyang 11035, China. Email: [email protected]

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