An Initial Residual Stress Inference Method by Incorporating Monitoring Data and Mechanism Model
作者机构：Nanjing University of Aeronautics and AstronauticsNanjing 210016China
出 版 物：《Chinese Journal of Mechanical Engineering》 (中国机械工程学报（英文版）)
年 卷 期：2022年第35卷第5期
页 面：47-65页
核心收录：
学科分类：08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 080502[工学-材料学] 0802[工学-机械工程]
基 金：National Natural Science Foundation of China(Grant No.51775278) National Science Fund of China for Distinguished Young Scholars(Grant No.51925505).
主 题：Initial residual stress Inference Monitoring data Mechanism model Policy gradient
摘 要：Initial residual stress is the main reason causing machining deformation of the workpiece,which has been deemed as one of the most important aspects of machining quality issues.The inference of the distribution of initial residual stress inside the blank has significant meaning for machining deformation control.Due to the principle error of existing residual stress detection methods,there are still challenges in practical applications.Aiming at the detection problem of the initial residual stress field,an initial residual stress inference method by incorporating monitoring data and mechanism model is proposed in this paper.Monitoring data during machining process is used to represent the macroscopic characterization of the unbalanced residual stress,and the finite element numerical model is used as the mechanism model so as to solve the problem that the analytic mechanism model is difficult to establish;the policy gradient approach is introduced to solve the gradient descent problem of the combination of learning model and mechanism model.Finally,the initial residual stress field is obtained through iterative calculation based on the fusing method of monitoring data and mechanism model.Verification results show that the proposed inference method of initial residual stress field can accurately and effectively reflect the machining deformation in the actual machining process.
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