Research on constitutive model of 9310 steel based on physical parameters and BP neural network
The Gleeble-3800 thermal simulator was used to conduct isothermal constant strain rate compression experiments on 9310 steel with deformation amount of 70%.The hot deformation behavior of 9310 steel was studied within the range of deformation temperature of 800-1200℃and strain rate of 0.01-50 s-1.Through the influence of different thermal deformation parameters on self-diffusion coeffi-cient D and Young's modulus E,the constitutive model based on physical parameters was established,and the BP neural network consti-tutive model was constructed based on experimental data.The results show that 9310 steel is negative temperature and positive strain rate sensitive material,and the flow stress decreases with the increase of deformation temperature and the decrease of strain rate.The correla-tion coefficient r of the physical constitutive model and the BP neural network model constructed under different conditions is greater than 0.98,but r value of the BP neural network model can reach 0.996,and the average absolute relative error is 3.1%.After comprehensive comparison of flow stress curve,correlation coefficient and average absolute relative error,it is concluded that the BP neural network mod-el has good applicability for predicting the flow behavior of 9310 steel.
9310 steelhot deformation behaviorphysical constitutive modelBP neural network model
NETL
NSTL
万方数据
