Effect analysis of residual stress on the machined surface of a titanium alloy (TC4) based on parameter optimization of a finite-element model
Year: 2025
Type: article
Abstract: This paper uses the Jonson–Cook (J–C) constitutive and Coulomb friction models to study the residual stress (RS) finite-element method on the cut surface. A reverse recognition optimization algorithm combining a data-driven algorithm and a genetic algorithm is proposed to optimize the parameters of the J–C constitutive model, thus improving the simulation accuracy. Experiments verify the accuracy of the model. Based on the simulation of RS, the mechanism of cutting parameters' influence on the workpiece surface's RS was deeply analyzed in this study. The results show that increasing the cutting speed can reduce the cutting force and increase the RS. Increasing the tool front angle helps improve the machining quality, but a front angle that is too large will also increase RS. The cutting temperature and force influence the RS of the surface and subsurface, respectively.
Source: Mechanical sciences
Authors: Chenyu Wang, Changyou Li, Zhi Tan, Huihui Miao, Wei Sun, Jinquan Li
Institutions: Northeastern University, Shenyang Ligong University
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $765
Awards: G2450493252, G8389737214
OpenAlex ID: W7081921866