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

Publish place: 3rd International Conference on Electrical, Computer and Mechanical Engineering
Publish Year: 1399
Type: Conference paper
Language: English
View: 446

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Link to this Paper:
https://civilica.com/doc/1128854

Document National Code:

ELCM03_018

Index date: 8 December 2020

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

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.

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

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

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

Sina Ojaghi

Department of computer engineering, Islamic Azad University, Science and research branch, Tehran, Iran

Farzan Barati

Department of mechanic, Hamedan branch, Islamic Azad University, Hamedan, Iran

Somaye Jafari jassbi

Department of computer engineering, Islamic Azad University, Science and research branch, Tehran, Iran