基于非支配排序遗传算法的涡轮发动机转子系统装配参数优化

doi:10.3969/j.issn.1000-1093.2021.05.022

摘要/Abstract

摘要： 为探究保障转子系统高温动平衡的最佳装配参数方法，掌握高温下动平衡的变化规律，提出转子系统各零件装配角矩阵的优化确定方法。基于高温工况下热-结构动平衡理论模型和零件材料特性随温度的非线性变化规律，建立转子系统动平衡随温度变化的解析方程；根据不同装配参数下系统不平衡量和偏移扭矩的差异，把高温动平衡优化问题转换为多目标多变量的优化问题，给出基于非支配排序遗传算法的解决方案；以某弹用涡轮发动机高压转子系统装配为例，在600 ℃工作环境下对所提方法进行验证，得到该工况下零件最佳装配角矩阵，以及最小化温度对转子系统动平衡的变化量影响，改善了装配质量特性。结果表明，零件装配角对高温工况下转子系统动平衡变化有很大的影响，通过装配参数优化可显著减少高温工况对多零件转子系统动平衡的影响。

关键词: 涡轮发动机, 转子系统, 装配角, 不平衡量, 偏移扭矩, 非支配排序遗传算法

Abstract: An optimization determination method of different matrices of assembly angle was proposed to explore the optimal method for assembly process parameters to guarantee the dynamic balance of rotor system and grasp the changing law of dynamic balance at high temperature. According to the thermal-structure dynamic balance theory model at high temperature and the nonlinear change of material characteristics with temperature, a analytical equation is established for calculating the temperature change of dynamic balance of rotor system with temperature at high temperature. Then, according to the difference between system unbalance and offset torque under the different assembly parameters, the NSGA-Ⅱbased solution is presented by converting the high temperature dynamic balance optimization into multi-objective and multivariable optimization. Taking the assembly of high-pressure rotor system of a missile turbine engine as an example, the proposed method was verified in 600 ℃ working environment, and the optimal assembly angle matrix was obtained, which minimizes the influence of high temperature on the dynamic balance of rotor system and improves the assembly quality. The results show that the assembly angles have great influence on the dynamic balance of rotor system at high temperature, and the influence of high temperature conditions on the dynamic balance of multi-part rotor system can be significantly reduced through the optimization of assembly parameters.

Key words: turboengine, rotorsystem, assemblyangle, unbalance, offsettorque, non-dominatedsortinggeneticalgorithm

中图分类号:

TJ760.5

冯睽睽，张发平，王武宏，张文杰，张田会. 基于非支配排序遗传算法的涡轮发动机转子系统装配参数优化[J]. 兵工学报, 2021, 42(5): 1092-1100.

FENG Kuikui， ZHANG Faping， WANG Wuhong， ZHANG Wenjie， ZHANG Tianhui. Assembly Process Parameters Optimization of Turbine Engine Rotor System Based on Non-dominated Sorting Genetic Algorithm[J]. Acta Armamentarii, 2021, 42(5): 1092-1100.

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