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Application of Artificial Neural Networks in Predicting Output Parameters of Gas Metal Arc Welding of Dissimilar Steels
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Artificial Neural Network (ANN) can be used for prediction utilizing some learning method. Gas metal arc welding (GMAW) was reported in a previous work to join SS304L stainless steel and EN8 mild steel plates. The experimental data obtained are used for training the ANN to enable it predict the output. ANN model is constructed to estimate ultimate tensile strength, elongation and hardness of the weld joint. A data set is tested through the modeled ANN to have satisfactory results. Quite close estimation of the ANN predicted values can be made with the observed ultimate tensile strength, elongation and hardness of the weld joint.
Keywords
GMAW, ANN, Dissimilar Welding, MIG, Modeling, MATLAB.
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