Stress- strain modeling of an Al-Mg using an artificial neural network

In the present study, the prediction of flow stress Mg-Al steel using artificial neural networks (ANN) has been investigated. Experimental data earlier deduced Optimization flow stress obtained by the ring compression test. Temperature, strain-rate and strain were used as input layer, while the output was flow stress. The back propagation learning algorithm with three different variants in the network . The results showed that the ANN method is capable of predicting the flow curve very precisely.

کلیدواژه های Stress- strain modeling of an Al-Mg using an artificial neural network:

Artificial Neural Network ، Prediction model ، Stress-Strain Curve ، Mg-Al alloy