基于改进多目标人工蜂群算法的航空发动机管路智能布局方法

doi:10.3901/JME.2022.04.277

机械工程学报 ›› 2022, Vol. 58 ›› Issue (4): 277-284.doi: 10.3901/JME.2022.04.277

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基于改进多目标人工蜂群算法的航空发动机管路智能布局方法

张禹^1,2, 公健¹, 唐滋阳¹, 吕董¹, 常育嘉¹, 巩亚东¹

1. 东北大学机械工程与自动化学院沈阳 110819;
2. 东北大学航空动力装备振动及控制教育部重点实验室沈阳 110819

收稿日期:2021-03-29 修回日期:2021-10-25 出版日期:2022-02-20 发布日期:2022-04-30
通讯作者: 张禹(通信作者),男,1979年出生,博士后,副教授,硕士研究生导师。主要研究方向为智能设计与制造,STEP/STEP-NC,复杂装备数字化设计与制造。E-mail:zy4097534@126.com
基金资助:
国家自然科学基金(51205054)、中国博士后科学基金(2017M611245)、中央高校基本科研业务费专项资金(N180313010)和辽宁省自然科学基金(2019-MS-124)资助项目。

Method for Intelligent Aeroengine Pipeline Layout Based on Improved Multi-objective Artificial Bee Colony Algorithm

ZHANG Yu^1,2, GONG Jian¹, TANG Ziyang¹, Lü Dong¹, CHANG Yujia¹, GONG Yadong¹

1. School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819;
2. Key Laboratory of Vibration and Control of Aero-Propulsion System, Ministry of Education, Northeastern University, Shenyang 110819

Received:2021-03-29 Revised:2021-10-25 Online:2022-02-20 Published:2022-04-30

摘要/Abstract

摘要： 针对航空发动机管路布局目前存在的问题，一种基于改进多目标人工蜂群算法的航空发动机管路智能布局方法被提出。在该方法中，首先以管路长度最短、弯头数最少和流阻最小为优化目标，将管路弯曲半径、夹角、直线段长度、距离、贴壁以及跨度约束作为约束条件，建立航空发动机管路多目标布局优化数学模型。进一步，基于约束违背度理论、混沌算法和A*算法，并结合雇佣蜂变长度邻域搜索、跟随蜂指数排序选择、侦查蜂自适应邻域搜索，设计出应用于航空发动机管路智能布局的改进多目标人工蜂群算法，从而实现了航空发动机管路布局的多样性和智能化，提高了管路布局质量和效率。最后，以标准测试函数为例对算法性能进行测试，并通过实例研究验证所提方法的可行性。

关键词: 航空发动机, 管路智能布局, 多目标人工蜂群算法, Pareto最优解集

Abstract: Aiming at the existing problems of aeroengine pipeline layout, an intelligent aeroengine pipeline layout method based on improved multi-objective artificial bee colony algorithm was proposed. In the method, taking the shortest pipeline length, the least number of elbows and the minimum flow resistance as optimization objectives and considering the bending radius, the angle, the length, the distance, the adherence and the span as constraint conditions, a multi-objective optimization mathematical model of aeroengine pipeline layout is firstly established. Further, combining with the variable length neighborhood search of employment bees, the exponential sorting selection of onlooker bees and the adaptive neighborhood search of scout bees, an improved multi-objective artificial bee colony algorithm for the intelligent aeroengine pipeline layout is designed based on constraint violation theory, chaos algorithm and A* algorithm, which can realize the diversity and intelligence of aeroengine pipeline layout and improve the pipeline layout quality and efficiency. Finally, the performance of the proposed method is tested by standard test function, and its feasibility and effectiveness are verified by case study.

Key words: aeroengine, intelligent pipe-routing, multi-objective artificial bee colony algorithm, optimal Pareto set

中图分类号:

张禹, 公健, 唐滋阳, 吕董, 常育嘉, 巩亚东. 基于改进多目标人工蜂群算法的航空发动机管路智能布局方法[J]. 机械工程学报, 2022, 58(4): 277-284.

ZHANG Yu, GONG Jian, TANG Ziyang, Lü Dong, CHANG Yujia, GONG Yadong. Method for Intelligent Aeroengine Pipeline Layout Based on Improved Multi-objective Artificial Bee Colony Algorithm[J]. Journal of Mechanical Engineering, 2022, 58(4): 277-284.

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基于改进多目标人工蜂群算法的航空发动机管路智能布局方法

Method for Intelligent Aeroengine Pipeline Layout Based on Improved Multi-objective Artificial Bee Colony Algorithm

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