Optimizing Blade Arrangement for Aero-Engine Rotor Based on Random Equiprobability Algorithm

XU Guangqing; BAI Yan; SUN Huibin; FU Xuan; ZHANG Gang; PENG Qing; CHANG Zhiyong

doi:10.16080/j.issn1671-833x.2020.01/02.052

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Optimizing Blade Arrangement for Aero-Engine Rotor Based on Random Equiprobability Algorithm

更新时间：2025-10-30

- Optimizing Blade Arrangement for Aero-Engine Rotor Based on Random Equiprobability Algorithm
- Aeronautical Manufacturing Technology Vol. 63, Issue 1/2, (2020)
- 作者机构：
  
  1. 中国航发四川燃气涡轮研究院,绵阳,621000
  2. 西北工业大学机电学院,西安,710072
- 作者简介：
- 基金信息：
- DOI：10.16080/j.issn1671-833x.2020.01/02.052
  CLC：
- Published：2020
- 稿件说明：
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徐广庆，白彦，孙惠斌，付玄，张纲，彭清，常智勇. 基于等概率随机法的航空发动机转子叶片排序优化[J]. 航空制造技术, 2020, 63(1/2): 52-56. XU Guangqing, BAI Yan, SUN Huibin, FU Xuan, ZHANG Gang, PENG Qing, CHANG Zhiyong. Optimizing Blade Arrangement for Aero-Engine Rotor Based on Random Equiprobability Algorithm. Aeronautical Manufacturing Technology, 2020, 63(1/2): 52-56.

XU Guangqing, BAI Yan, SUN Huibin, et al. Optimizing Blade Arrangement for Aero-Engine Rotor Based on Random Equiprobability Algorithm[J]. Aeronautical Manufacturing Technology, 2020, 63(1/2).
徐广庆，白彦，孙惠斌，付玄，张纲，彭清，常智勇. 基于等概率随机法的航空发动机转子叶片排序优化[J]. 航空制造技术, 2020, 63(1/2): 52-56. XU Guangqing, BAI Yan, SUN Huibin, FU Xuan, ZHANG Gang, PENG Qing, CHANG Zhiyong. Optimizing Blade Arrangement for Aero-Engine Rotor Based on Random Equiprobability Algorithm. Aeronautical Manufacturing Technology, 2020, 63(1/2): 52-56. DOI： 10.16080/j.issn1671-833x.2020.01/02.052.

XU Guangqing, BAI Yan, SUN Huibin, et al. Optimizing Blade Arrangement for Aero-Engine Rotor Based on Random Equiprobability Algorithm[J]. Aeronautical Manufacturing Technology, 2020, 63(1/2). DOI： 10.16080/j.issn1671-833x.2020.01/02.052.

摘要

对于盘片分离的航空发动机转子，叶片排序影响初始不平衡量，容易导致振动超限。在转子装配环节，精准、高效的叶片排序优化对于提高装配质量和效率有重要意义。针对此问题，基于单个叶片的质量矩模型，建立单级转子初始不平衡量模型，提出叶片排序优化的目标函数，研究一种基于“等概率随机”的搜索算法，实现在资源、时间消耗和优化效果之间取得平衡。仿真和验证结果表明，该研究方法可以精准、高效地优化叶片装配排序。与传统方法相比，单级转子的初始不平衡量大幅降低，转子的装配品质得到极大提高，已在实际生产中取得显著的应用效益。

Abstract

As to disk-separated aero-engine rotor

blade arrangement affects initial unbalance of the rotor

and leads to vibration. During the rotor assembly process

precise and efficient blade arrangement is believed to improve assembly quality and efficiency. Aiming at this problem

a rotor initial unbalance model is built based on mass moment of a single blade. The fitness function of blade arrangement optimization is put forward. A searching algorithm is designed to make a trade-off between resource

time-consumption and optimization. Simulation and validation verify that blades could be distributed precisely and efficiently by using the proposed method. Compared with traditional methods

the initial unbalance is decreased dramatically

and the assembly quality is improved greatly. The pro-posed method has created valuable benefit in real assembly process.

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