The prediction of hot flow behavior of Al–6%Mg alloy

In this research, the plastic flow behavior of Al–6%Mg alloy was studied by analyzing the results of hot compression tests in a range of temperature and strain rate. Then, an artificial neural network (ANN) model was trained at which the temperature, strain-rate, and strain parameters were used as the input layer and the flow stress as the output. The comparison of the predicted and experimental results of stress–strain curve proved the prediction capability of the ANN model.