机械科学与技术2025，Vol.44Issue(4)：716-723,8.DOI:10.13433/j.cnki.1003-8728.20230222
数据与机理融合的航发转子柔性装配精度预测
Prediction of Flexible Assembly Accuracy of Aeroengine Rotors Based on Data and Mechanism Fusion
摘要
Abstract
Aiming at the problem that it is difficult to accurately predict the assembly accuracy of aeroengine rotor after considering the assembly deformation of rotor parts,a method for predicting flexible assembly accuracy of aeroengine rotors based on mechanism guidance data was proposed.Firstly,the rigid assembly model of aeroengine rotors was established based on the error transfer and accumulation mechanism.Then,by analyzing the influence of the deformation of mating parts on the assembly accuracy,a flexible assembly accuracy prediction model was proposed.Secondly,combined with the assembly mechanism model of aeroengine rotors,the feature sensitivity of flexible assembly process of rotors was analyzed by numerical analysis method and the feature engineering was established.Thirdly,a prediction model for assembly accuracy of aeroengine rotors based on support vector regression and extreme gradient lift algorithm(SVR-XGBoost)was proposed based on the nonlinear characteristics and uncertainty of aeroengine rotor assembly.Finally,the primary disk and secondary disk of a certain type of aero-rotor were taken as the research object.By comparing the prediction results of different machine learning models,MAE,MSE and R2 evaluation indexes of the machine learning model in this paper are superior to the single SVR and XGBoost methods,and have higher generalization and accuracy.The assembly accuracy prediction results of the model in this paper are in good agreement with the assembly test results,and the average error of the model is reduced by 73.10%compared with the rigid prediction model,which has a significant effect on improving prediction accuracy of the assembly accuracy of the aeroengine rotors.关键词
航空发动机转子/机理模型/数据与机理融合/装配精度预测Key words
aeroengine rotor/mechanism model/data and mechanism fusion/assembly accuracy prediction分类
机械制造引用本文复制引用
石智辉,柳健,赵英杰,孙清超..数据与机理融合的航发转子柔性装配精度预测[J].机械科学与技术,2025,44(4):716-723,8.基金项目
国家自然科学基金项目(51875081,52005081) （51875081,52005081）
