Hot Deformation Behavior of Medium Carbon Low Alloy Steel Using Arrhenius and ANN Modeling Methods

Development of Neural Networks to Study Flow Behavior of Medium Carbon Microalloyed Steel during Hot Forming

“…The training phase stops when the mean square error is minimized. For the studied microalloyed steel, the proposed ANN architecture is similar to that in other works [13,14,16,17].…”

“…Recently, new works that use ANN as a robust tool capable of predicting the flow behavior of medium carbon steels have appeared. Tize Mha et al [13,14], Quan et al [15] Shekh, Kumar and Nath [16] and Ahmadi et al [17], for different medium carbon steels with different alloy levels, concluded that ANN models represent the best alternative to generate flow curves by using experimental data to interpolate or extrapolate points. Pan et al [6] concluded that the Random Committee algorithm could predict flow stress more effectively than ANNs for a Ni-Cr-Mo low-alloy steel.…”