Abstract
MIG welding is an arc welding technique which employs a continuous solid wire electrode that is heated and fed into the weld pool by a welding gun. Welding usually involves melting of the materials at the joint, which is accomplished by rapid heating. This heating, followed by rapid cooling may induce thermal stresses in the material, causing the weldment to undergo angular distortion. The aim of this work is to develop a mathematical model to predict the variation in angular distortion for different combinations of input parameters like Voltage, Torch angle, Wire feed rate (WFR), Welding Speed and the Nozzle-to-plate distance in the experiment. A statistical approach is used to carry out the experiments in a structured manner. The input parameters are taken at five levels with central composite rotatory design (CCRD) technique. The results are analyzed by implementing Response Surface Methodology (RSM) and the adequacy of the developed model was tested by ANOVA. The parameters were also optimized to have a minimum angular distortion.
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