Hot Deformation Behavior of Ti2041 Alloy Based on BP Neural Network and 3D Processing Map [基于BP神经网络和3D加工图的Ti2041合金的热变形行为]

作者：Zhou X.; Wang K.^*; Lu S.; Li X.; Ouyang D.

来源：Rare Metal Materials and Engineering, 2021, 50(4): 1233-1240.

• Constitutive model
• Flow stress
• Optimal processing parameters
• Processing maps
• Ti2041 alloy

The flow behavior of Ti2041 alloy was studied through hot compressive experiments. The constitutive model of alloy was established by back propagation (BP) neural network. Results show that the constitutive model has high accuracy, with correlation coefficient of 0.996 13 and average relative error of 4.498%, and the data points whose predictive deviation is within 10% are 92.98%. Based on the experimental data, the strain rate sensitivity, the power dissipation and the instability parameter were investigated. Processing maps were established. Through processing map prediction and microstructure observation, the instability zones are mainly flow localization (650~775℃/0.056~1 s-1) and mechanical instability (825~900℃/0.056~1 s-1), and the deformation mechanism of the stability zone is mainly dynamic recrystallization. It is found that the optimal deformation parameters are: deformation temperature of 760~825℃/825~900℃ and strain rate of 0.001~0.01 s-1 /0.0032~ 0.056 s-1.