环形薄壁件残余应力分布及预测  

Residual Stress Distribution and Prediction of Annular Thin-walled Parts

作　　者：陈璐 王鸿 司海宁 杜娟[1] CHEN Lu;WANG Hong;SI Hai-ning;DU Juan(School of Mechanical Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,China)

机构地区：[1]太原科技大学机械工程学院,太原030024

出　　处：《太原科技大学学报》2024年第5期493-499,共7页Journal of Taiyuan University of Science and Technology

基　　金：国家自然科学基金(51475317);山西省自然科学基金(201901D111237)。

摘　　要：薄壁件被广泛用于军事航空等领域,曲面薄壁件由于其形状的特殊性对加工精度和变形控制的要求更是十分严格,加工完成后的残余应力重分布会影响成品零件质量。以7075-T651铝合金环形薄壁件为分析对象,通过ABAQUS仿真软件建立曲面铣削模型,使用单因素分析法,分析了铣削速度、径向切深、轴向切深和每齿进给量等工艺参数对环形薄壁件残余应力分布的影响。结果表明使用高速,小切深可将最大残余应力值减少13%~15%.通过铣削仿真数据,通过BP神经网络和GRNN神经网络,建立预测曲面最大残余应力和工艺参数之间的关系,以实现对最大残余应力值的预测,从而改善铣削质量。结果表明,BP网络训练结果的最小误差为2.3%,GRNN神经网络预测的最小误差值为0.07%,综合对比后GRNN神经网络具有更优的预测能力。Thin-walled parts are widely used in military aviation and other fields.Due to the special shape of thin-walled curved parts,the machining accuracy and deformation control requirements are very strict.The redistribution of residual stress after machining is an important reason affecting the quality of finished parts.In this paper,the 7075-T651 aluminum alloy annular thin-walled parts were taken as the analysis object,and the surface milling model were established by ABAQUS simulation software.The effects of milling speed,radial depth,axial depth and feed per tooth on the residual stress distribution of the annular thin-walled parts were analyzed by single factor analysis.The results show that the maximum residual stress can be reduced by 13%~15%with high speed and small cutting depth.Based on the simulation study,the relationship between the maximum residual stress and the process parameters was established by BP neural network and GRNN neural network,so as to realize the prediction of the maximum residual stress and improve the milling quality.The results show that the minimum error of BP network training results is 2.3%,and the minimum error of GRNN neural network prediction is 0.07%.After comprehensive comparison,GRNN neural network has better prediction ability.

关 键 词：铝合金7075-T651 曲面薄壁件 残余应力 ABAQUS 广义神经网络 BP神经网络 

分 类 号：TH16[机械工程—机械制造及自动化] TH164