薄壁件残余应力变形仿真预测与切削参数优化
Prediction of Deformation Induced by Residual Stress in Milling of Thin-walled Part and Optimization of Cutting Parameters

针对薄壁件铣削残余应力变形难以准确预测的问题，提出了一种仿真预测方法，并在此基础上研究了薄壁件铣削切削参数优化方法。首先，提出了基于工况映射与薄壳应力贴合的残余应力变形仿真预测方法，实验结果表明该方法能够有效预测薄壁件的加工残余应力变形。在此基础上，利用支持向量回归机建立了基于切削参数的残余应力变形响应预测模型；然后，根据所建立的预测模型，采用遗传算法，以残余应力变形为约束、最大加工效率为目标对工艺参数进行优化。结果分析表明，该优化方法获得了最优的加工参数。
The prediction method of deformation induced by residual stress in milling of thin-walled parts was studied. Based on the above-mentioned, the cutting parameters were optimized. Firstly, the simulation method of deformation induced by residual stress was proposed based on the mapping of working conditions and the application of machining residual stress fields. The experimental results show that this method can effectively predict the deformation induced by using the machining residual stress of thin-walled parts. On this basis, the prediction model for deformation based on the cutting parameters was established by using the support vector regression algorithm. Then, on the basis of the present prediction model, a genetic algorithm was adopted to optimize the cutting parameters with the deformation induced by residual stress as the constraint and the maximum processing efficiency as the optimization objective. The analysis of results indicates that the optimization method presented in the paper could optimized the cutting parameters