25CrMo4车轴钢高温变形多元非线性回归本构模型  

Multiple nonlinear regression model of high temperature deformation for 25CrMo4 axle steel

作　　者：刘克然 霍元明 何涛 霍存龙 贾昌远 杨万博 LIU Ke-ran;HUO Yuan-ming;HE Tao;HUO Cun-long;JIA Chang-yuan;YANG Wan-bo(School of Mechanical and Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)

机构地区：[1]上海工程技术大学机械与汽车工程学院,上海201620

出　　处：《塑性工程学报》2021年第12期199-206,共8页Journal of Plasticity Engineering

基　　金：国家重点研发计划项目(2018YFB1307900);国家自然科学基金青年基金资助项目(51805314);上海市科委重点攻关项目(16030501200)。

摘　　要：为建立高精度预测25CrMo4车轴钢材料流动行为的模型,使用多元非线性回归模型建立了本构方程,通过Gleeble-3800试验机研究了最大变形量为60%时25CrMo4高速铁路车轴钢在不同应变速率和不同变形温度下的热变形行为。结果表明,在较高的变形温度和较低的应变速率下,更容易发生动态再结晶。在1000~1150℃温度范围内建立双重多元非线性回归模型,利用相关系数R、平均绝对误差AARE和均方根误差RMSE等标准统计参数对其预测精度进行了量化分析,结果表明,该模型在较低的变形温度下的预测曲线和实验曲线重合度较高。To establish the model that can accurately predict the material flow behavior of 25 CrMo4 axel steel, the constitutive equation was established using multiple nonlinear regression model. The hot deformation behavior of 25 CrMo4 high-speed railway axel steel with the maximum deformation amount of 60% at different strain rates and different deformation temperatures was studied by Gleeble-3800 testing machine. The results show that the dynamic recrystallization is easier to occur at higher deformation temperature and lower strain rate. The double multiple nonlinear regression(DMNR)model was established at the temperature range of 1000-1150 ℃, and the prediction accuracy was quantified using standard statistical parameters such as correlation coefficient R, average absolute error AARE and root mean square error RMSE. The results show that the experimental and predicted curves of this model are almost consistent at lower deformation temperature.

关 键 词：25CrMo4 热压缩实验 DMNR模型 热变形激活能 

分 类 号：TG142[一般工业技术—材料科学与工程]