Xu Hongtu, Tian Tiantai, Zhang Jiahao, Niu Liqun, Zhu Hongbin, Wang Xingtao, Zhang Qi
School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
CRRC Industrial Academy Co., Ltd., Beijing 100070, China.
Materials (Basel). 2022 Apr 12;15(8):2820. doi: 10.3390/ma15082820.
25CrMo4 steel is widely used in the manufacturing of high-speed train axles due to its excellent mechanical properties. The purpose of this study is to develop an accurate modified constitutive model to describe the hot deformation behavior of the steel. Isothermal compression experiments were performed at different strain rates (0.01, 0.1, 0.5, and 1 s) and different temperatures (950, 1000, 1050, and 1100 °C) using a Gleeble-3800 thermal simulator. The microstructure after hot deformation was observed by the electron backscatter diffraction (EBSD), and the effects of temperature and strain rate were analyzed. The results showed that the coupling effect of temperature and strain rate on the dislocation density led to the change in the shape of the true stress-strain curve and that dynamic recovery (DRV) and dynamic recrystallization (DRX) caused the macroscopic softening phenomenon, with DRX being the main mechanism. Based on the true stress-strain curves, the strain-compensated Arrhenius constitutive model was calibrated. To improve prediction ability, a modified Arrhenius constitutive model was proposed, in which the temperature and strain rate coupling correction functions were incorporated. The original, modified Arrhenius models were evaluated according to the absolute relative error (ARE), the average absolute relative error (AARE), and the correlation coefficient (R). Compared with the original model, the modified Arrhenius model has a higher prediction accuracy, with the ARE value mostly below 4%, the AARE value of 1.91%, and the R value of 0.9958.
25CrMo4钢因其优异的力学性能而广泛应用于高速列车车轴的制造。本研究的目的是建立一个准确的修正本构模型来描述该钢的热变形行为。使用Gleeble-3800热模拟试验机在不同应变速率(0.01、0.1、0.5和1 s)和不同温度(950、1000、1050和1100 °C)下进行等温压缩试验。通过电子背散射衍射(EBSD)观察热变形后的微观组织,并分析温度和应变速率的影响。结果表明,温度和应变速率对位错密度的耦合作用导致了真应力-应变曲线形状的变化,动态回复(DRV)和动态再结晶(DRX)引起了宏观软化现象,其中DRX是主要机制。基于真应力-应变曲线,校准了应变补偿Arrhenius本构模型。为提高预测能力,提出了一种修正的Arrhenius本构模型,其中引入了温度和应变速率耦合校正函数。根据绝对相对误差(ARE)、平均绝对相对误差(AARE)和相关系数(R)对原始和修正的Arrhenius模型进行评估。与原始模型相比,修正的Arrhenius模型具有更高的预测精度,ARE值大多低于4%,AARE值为1.91%,R值为0.9958。