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Fig. 1. (a). MIG welding setup, (b). Welded component.

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Abstract: The present paper tells about how to predict and optimize the Metal Inert Gas (MIG) welding of AISI 304 Stainless Steel (AISI 304 SS) work pieces, which are most widely in used in many industrial applications. The powerful tool known as Design of Experiments (DOE) was used to optimize the welding process parameters for effective welding joint of the work pieces. The following welding voltage, welding current and welding speed were considered as input parameters and similarly tensile strength, percentage of elongation, and hardness were considered as performance characteristics for DOE application. The values after experimental measurements, compared with corresponding predicted results of tensile strength, percentage of elongation, and hardness. Moreover, the Taguchi Method was also used for DOE and considered L 27 orthogonal array matrix and Signal-to-Noise Ratio, the tensile strength, percentage of elongation, and hardness of the predicted values have been creditably acquired via Fuzzy representation.