摘要
通过Gleeble-3800型热模拟机对Q345钢进行温度区间900~1100℃,应变速率0.1、1、10 s^(-1),真应变0.65的等温压缩试验。采用0.05~0.65应变量范围内数据每隔0.1建立基于物理常数的Arrhenius本构模型,并对模型预测值与试验值进行相关性分析,验证模型预测精度。结果表明:Q345钢高温流变应力随变形温度的升高而降低,随应变速率增大而升高;各应变量下的预测值与试验值相关系数均大于0.98,基于物理常数的Arrhenius本构模型具有较高的预测精度。
The isothermal compression tests of Q345 steel were implemented on Gleeble-3800 thermal simulation machine at different deformation temperatures of 900-1100 ℃ with strain rate of 0.1, 1, 10 s^-1, and true strain of 0.65. The Arrhenius constitutive model based on physical constants was established by using different strain values ranging from 0.05-0.65 with an interval of 0.1, then the correlation between the model predicted value and the experiment value was analyzed,and the prediction accuracy of the model was discussed. The results show that the high temperature flow stress of Q345 steel decreases with the increase of deformation temperature and increases with the increase of strain rate. The correlation coefficient between predicted and experiment value is greater than 0.98, so the constitutive model based on physical constant has high prediction accuracy.
出处
《热加工工艺》
CSCD
北大核心
2017年第16期56-59,共4页
Hot Working Technology
基金
国家自然科学基金资助项目(51475139)
河北省自然科学基金资助项目(E2015208105)
关键词
Q345钢
物理常数
本构模型
相关性
预测精度
Q345 steel
physical constant
constitutive model
correlation
prediction accuracy
