Microstructural evolution and constitutive relationship of Al–Zn–Mg alloy containing small amount of Sc and Zr during hot deformation based on Arrhenius-type and artificial neural network models

Research on the hot deformation behavior of Al–6.2Zn–0.70Mg–0.3Mn–0.17Zr alloy using processing map

“…Reports have shown that DRV or DRX occurs related to Zener-Hollomon parameters, and lnZ value has been combined the effect of strain rate and deformation temperature for microstructure evolution [8][9][10][11][12]. Liu et al [10] investigated the hot deformation behavior of AA7085 aluminum alloy.…”

Modeling the Constitutive Relationship of Al–0.62Mg–0.73Si Alloy Based on Artificial Neural Network

“…In this work, a feed-forward neural network model trained with BP learning algorithm will be established; 192 data points as the input database was used. Before training the network, both input and output variables have to be normalized within the range from 0 to 1 in order to obtain a valid form for the neural network model to recognize, which can be treated as Equation (14): (14) where X is the original data which refers to temperature, strain and flow stress; X * is the normalized data of the corresponding X; X min and X max are the minimum and maximum values of X, respectively. Given that the strain rate changes sharply and the minimum of it is too small for the network to learn, the following equation has to be used for the normalization: respectively.…”

“…It has now been recognized as a powerful tool in the field of material science and increasingly applied by a growing number of scholars. For instance, Li et al [14] compared the ANN model with the Arrhenius-type constitutive model regarding the hot deformation behavior of an Al-Zn-Mg alloy. Ji et al [15] used a back-propagation neural network model, which was trained with Lavenberg-Marquardt learning algorithm, to study the high-temperature flow behavior of Aermet100 steel.…”

Thermo-physical simulation of the compression testing for constitutive modeling of GH4169 superalloy during linear friction welding

“…The relationship between the flow stress, the strain rate and the deformation temperature during hot deformation at a given strain can be expressed by several basic equations as follows [33][34][35]:…”