Relationship between Hardness and Deformation during Cold Rolling Process of Complex Profles

作     者：Dawei Zhang Linghao Hu Bingkun Liu Shengdun Zhao Dawei Zhang;Linghao Hu;Bingkun Liu;Shengdun Zhao

作者机构：Xi’an Key Laboratory of Intelligent Equipment and ControlSchool of Mechanical EngineeringXi’an Jiaotong UniversityXi’an 710049China 

出 版 物：《Chinese Journal of Mechanical Engineering》 (中国机械工程学报（英文版）)

年 卷 期：2023年第36卷第5期

页      面：315-329页

核心收录：

学科分类：08[工学] 080502[工学-材料学] 0805[工学-材料科学与工程（可授工学、理学学位）] 

基　　金：Supported by National Natural Science Foundation of China(Grant No.51675415) Key Research and Development Program of Shaanxi,China(Grant No.2021GXLH-Z-049) 

主　　题：Complex profle Cold rolling Multi passes Equivalent strain Vickers hardness 

摘      要：The hardening on surface of complex profles such as thread and spline manufactured by cold rolling can efectively improve the mechanical properties and surface quality of rolled parts. The distribution of hardness in superfcial layer is closely related to the deformation by rolling. To establish the suitable correlation model for describing the relationship between strain and hardness during cold rolling forming process of complex profles is helpful to the optimization of rolling parameters and improvement of rolling process. In this study, a physical analog experiment refecting the uneven deformation during complex-profle rolling process has been extracted and designed, and then the large date set (more than 400 data points) of training samples refecting the local deformation characteristics of complexprofle rolling have been obtained. Several types of polynomials and power functions were adopted in regression analysis, and the regression correlation models of 45# steel were evaluated by the single-pass and multi-pass physical analog experiments and the complex-profle rolling experiment. The results indicated that the predicting accuracy of polynomial regression model is better in the strain range (i.e., ε 1.2) of training samples can be well described by power regression model;so the correlation relationship between strain and hardness during complex-profle rolling process of 45# steel can be characterized by a segmented function such as third-order polynomial in the range ε 1.2;and the predicting error of the regression model by segmented function is less than 10%.