# Research Progress in Multidimensional Prediction of Machining-Induced Surface Residual Stress

## TL;DR

This paper reviews methods to predict residual stress in machining, which affects product durability and performance.

## Contribution

The paper systematically reviews and compares four modeling approaches for predicting residual stress in machining.

## Key findings

- Empirical models rely on experimental data but lack generalizability.
- Finite element models simulate real machining conditions but require high computational resources.
- Hybrid models combine strengths of multiple approaches but remain underexplored.

## Abstract

Intense thermo-mechanical coupling effects during cutting generate residual stress within the surface layer of a workpiece. This residual stress is a critical factor influencing the fatigue life, corrosion resistance, and dimensional stability of mechanical components, making its accurate prediction and control essential for improving product performance. To address the often generalized treatment of residual stress prediction modeling in existing literature, this paper presents a systematic review of recent advances in surface residual stress prediction for cutting operations. It details the formation mechanisms and significance of residual stress, focusing on four primary modeling approaches: empirical models based on experimental data, analytical models founded on metal cutting and elastoplastic theory, finite element models that simulate actual machining conditions, and hybrid models. A comprehensive analysis and comparison of these four model types is provided, summarizing their respective advantages and limitations. Furthermore, this paper identifies potential future research directions and development trends in residual stress prediction modeling, serving as a valuable reference for work in this field.