南京航空航天大学学报（英文版）2024，Vol.41Issue(2)：135-146,12.DOI:10.16356/j.1005‑1120.2024.02.001
基于潜高斯过程引入理论先验的钛合金结构件残余应力场推断方法
Inference Method for Residual Stress Field of Titanium Alloy Parts Based on Latent Gaussian Process Introducing Theoretical Prior
摘要
Abstract
Residual stress(RS)within titanium alloy structural components is the primary factor contributing to machining deformation.It comprises initial residual stress(IRS)and machined surface residual stress(MSRS),resulting from the interplay between IRS and high-level machining-induced residual stress(MIRS).Machining deformation of components poses a significant challenge in the aerospace industry,and accurately assessing RS is crucial for precise prediction and control.However,current RS prediction methods struggle to account for various uncertainties in the component manufacturing process,leading to limited prediction accuracy.Furthermore,existing measurement methods can only gauge local RS in samples,which proves inefficient and unreliable for measuring RS fields in large components.Addressing these challenges,this paper introduces a method for simultaneously estimating IRS and MSRS within titanium alloy aircraft components using a Bayesian framework.This approach treats IRS and MSRS as unobservable fields modeled by Gaussian processes.It leverages observable deformation force data to estimate IRS and MSRS while incorporating prior correlations between MSRS fields.In this context,the prior correlation between MSRS fields is represented as a latent Gaussian process with a shared covariance function.The proposed method offers an effective means of estimating the RS field using deformation force data from a probabilistic perspective.It serves as a dependable foundation for optimizing subsequent deformation control strategies.关键词
钛合金/残余应力场推断/潜高斯过程/加工变形Key words
titanium alloy/residual stress field inference/latent Gaussian process/machining deformation分类
航空航天引用本文复制引用
陈俊松,刘长青,赵智伟,王伟,向兵飞,危震坤,李迎光..基于潜高斯过程引入理论先验的钛合金结构件残余应力场推断方法[J].南京航空航天大学学报（英文版）,2024,41(2):135-146,12.基金项目
This work was supported by the Na-tional Key R&D Program of China(No.2022YFB3402600),the National Science Fund for Distinguished Young Scholars(No.51925505),and the General Program of the National Natural Science Foundation of China(No.52175467). （No.2022YFB3402600）
