航空发动机风扇转子动叶的选配优化技术研究

李丽丽; 高智勇; 高建民; 席越; 戴宏玮; 刘俊空

doi:10.7652/xjtuxb202109007

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航空发动机风扇转子动叶的选配优化技术研究

更新时间：2025-07-09

- 航空发动机风扇转子动叶的选配优化技术研究
- Selecting-Matching Optimization Technology of Fan Rotor Blades of Aircraft Engine
- 西安交通大学学报 2021年55卷第9期页码：60-70
- 作者机构：
  
  西安交通大学机械制造系统工程国家重点实验室,西安,710049
- 作者简介：
- 基金信息：
  
  : 2021-01-15。作者简介: 李丽丽(1990—),女,博士生;高智勇(通信作者),男,副教授。基金项目: 国家重点研发计划资助项目(2019YFB1703800)
- DOI：10.7652/xjtuxb202109007
  中图分类号： TP399
- 网络首发：2021-09-10，
  
  纸质出版：2021
- 稿件说明：
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李丽丽, 高智勇, 高建民, 等. 航空发动机风扇转子动叶的选配优化技术研究[J]. 西安交通大学学报, 2021,55(9):60-70.

Selecting-Matching Optimization Technology of Fan Rotor Blades of Aircraft Engine[J]. 2021, 55(9): 60-70.
李丽丽, 高智勇, 高建民, 等. 航空发动机风扇转子动叶的选配优化技术研究[J]. 西安交通大学学报, 2021,55(9):60-70. DOI： 10.7652/xjtuxb202109007.

Selecting-Matching Optimization Technology of Fan Rotor Blades of Aircraft Engine[J]. 2021, 55(9): 60-70. DOI： 10.7652/xjtuxb202109007.

摘要

针对航空发动机风扇转子动叶挑选过程中存在的动叶资源利用率低的问题

以转子动叶一阶弯曲频率离散度、一阶扭转频率离散度和重力矩差为挑选准则

以叶片数据库中未被挑选的叶片数最少为优化目标

提出了叶片智能优选算法

实现了动叶装配前高效挑选、充分利用的目标; 针对风扇转子动叶装配中多装多调、装配成功率低的问题

以180°对角位置上两支叶片的重力矩差为约束

以剩余不平衡量最小为优化目标

采用改进模拟退火算法优化动叶的装配序列

大大降低了转子动叶的剩余不平衡量

减少了转子的装调次数。实例验证结果表明:所提的动叶优选算法使叶片资源利用率从企业目前所能达到的65%～74%提高到83%～93%

而且算法运行20次时

单次运行的时间最短为7.7 s

最长为28.7 s

求解效率较高; 动叶优配算法为转子动叶的实际装配提供了优化的装配序列

实现了转子动叶的高效装配。转子动叶的优选优配实现了转子动叶的充分利用和高效装配

为转子动叶装配质量和服役性能的可靠性和稳健性奠定了基础。

Abstract

Aiming at the problem of low resource utilization of rotor blades in the selection process of aero-engine fan rotor blades

the first-order bending frequency dispersion

first-order torque frequency dispersion

and gravitational moment difference of rotor blades are regarded as the selection criteria

and the minimum number of not selected blades as the optimization goal

an intelligent selection algorithm of the blades is proposed to achieve the goal of efficient selection and full utilization of the rotor blades before assembly. In view of the problems of multiple installations and multiple adjustments as well as low assembly success rate in the assembly of fan rotor blades

the gravitational moment difference between the two blades at a diagonal position of 180 degrees is taken as the constraint condition

and the minimized residual imbalance as the optimization objective

and the improved simulated annealing algorithm is used to optimize the assembly sequence of the rotor blades

which greatly reduces the residual imbalance of the rotor blades as well as the times of rotor assembly and adjustment. Example verifies that the proposed optimization algorithm for selecting blades greatly improves the utilization of blade resources and the selection efficiency: the blade resource utilization rate is increased from 65%-74% currently achieved in enterprise to 83%-93%

and when running the algorithm for 20 times

the minimum single running period is 7.7 seconds and the maximum is 28.7 seconds

indicating the solution efficiency is very high. The optimization algorithm for the assembly sequence planning of the rotor blades provides an optimized assembly sequence for actual assembly of the rotor blades

and the methods for optimal selection and matching of the rotor blades can realize full utilization of blade resource

and facilitate efficient assembly.

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