Wu Mengwei, Zhang Shuangjie, Ma Shibo, Yan Huajun, Wang Wei, Li Qiang
School of Materials Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, Hebei, China.
Hebei Key Laboratory of Material Near-Net Forming Technology, Hebei University of Science and Technology, Shijiazhuang 050018, Hebei, China.
Materials (Basel). 2019 Jul 7;12(13):2186. doi: 10.3390/ma12132186.
The high-temperature deformation behavior of Q345 steel is detected by a Gleeble-3800 thermal simulator. The Arrhenius constitutive equation for high-temperature flow stress and the dynamic recrystallization model are constructed. With the secondary development technology, customized modifications are made on existing Deform-3D software. The constructed constitutive model and dynamic recrystallization model are embedded into Deform-3D to realize the secondary development of Deform-3D. The grain size and volume percentage distribution of dynamic recrystallization are obtained by simulating the shear connection process at high temperature and high speed. The results show that the constitutive equation and the dynamic recrystallization model constructed in this paper can be used to predict the evolution of the microstructure. The difference between the prediction results and the experimental data is about 3%. The accuracy of Arrhenius constitutive equation, dynamic recrystallization model and the feasibility of software secondary development are verified.
采用Gleeble-3800热模拟试验机对Q345钢的高温变形行为进行检测。构建了高温流变应力的Arrhenius本构方程和动态再结晶模型。利用二次开发技术，对现有的Deform-3D软件进行定制化修改。将构建的本构模型和动态再结晶模型嵌入到Deform-3D中，实现Deform-3D的二次开发。通过模拟高温高速剪切连接过程，获得动态再结晶的晶粒尺寸和体积分数分布。结果表明，本文构建的本构方程和动态再结晶模型可用于预测微观组织的演变。预测结果与实验数据的差异约为3%。验证了Arrhenius本构方程、动态再结晶模型的准确性以及软件二次开发的可行性。
