残余应力
研磨
机械加工
残余物
材料科学
表面完整性
压力(语言学)
联轴节(管道)
航空航天
机械工程
领域(数学)
结构工程
冶金
工程类
计算机科学
航空航天工程
算法
哲学
语言学
纯数学
数学
作者
Peng Gong,Yanbin Zhang,Chunjin Wang,Xin Cui,Runze Li,Shubham Sharma,Mingzheng Liu,Teng Gao,Zongming Zhou,Xiaoming Wang,Yusuf Suleiman Dambatta,Changhe Li
标识
DOI:10.1016/j.jmatprotec.2023.118262
摘要
Residual stress, a pivotal indicator for assessing surface quality, represents significant thermomechanical stresses encountered during material removal processes. The precision of machining and workpiece performance is of paramount importance in the industries such as aerospace and tool manufacturing. Besides the mitigating residual stresses, the persistent challenge particularly lies in grinding operations. While the mechanisms of grinding-induced residual stresses deserve attention. This paper seeks to bridge this knowledge gap by conducting a thorough analysis of the factors contributing to residual stress generation, taking into account the characteristics of mechanical, thermal, and thermodynamic coupling stresses. Firstly, an exploration of the mechanisms behind residual stress generation leads to a deeper understanding of the factors initiating these stresses. Additionally, this analysis provides insights into auxiliary accuracy adjustment methods for integrated models. Subsequently, the microstructural mechanisms and stress modeling of typical materials are discussed when subjected to the combined effects of heat, force, and their coupling effect. Moreover, common detection techniques for real-time analysis and prediction are summarized. Notably, the resulting combined prediction models indicate an error range in residual stress prediction spanning from 3% to 6%, with an average error of approximately 3%. Finally, the principles governing residual stress generation find practical application in actual production scenarios, wherein different perspectives of ultra-precision grinding processes are considered. These findings not only enhance our comprehension and control of residual stresses but also establish a robust foundation for future advancements in this field.
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