Authors: Mohammad Hasan Shojaeefard Mostafa Akbari Parviz Asadi
Publish Date: 2014/11/28
Volume: 15, Issue: 11, Pages: 2351-2356
Abstract
In this study the inuence of rotational and traverse speed on the friction stir welding of AA5083 aluminum alloy has been investigated For this purpose a thermomechanically coupled 3D FEM analysis was used to study the effect of rotational and traverse speed on welding force peak temperature and HAZ width Then an Articial Neural Network ANN model was employed to understand the correlation between the welding parameters rotational and traverse speed and peak temperature HAZ width and welding force values in the weld zone Performance of the ANN model was found excellent and the model can be used to predict peak temperature HAZ width and welding force Furthermore in order to find optimum values of traverse and rotational speed the multiobjective optimization was used to obtain the Pareto front Finally the Technique for Order Preference by Similarity to the Ideal Solution TOPSIS was employed to obtain the best compromised solution
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