ANFIS Model for Interaction of Parameters of Sybmerged Arc Welding Process for Mild Steel Plates of Higher Thickness

The interactions of welding input parameters are studied by an ANFIS model in MATLAB of Submerged Arc Welding process. SAW is a high quality, very high deposition rate welding process commonly used to joint plates. The main objective is to identify the main input factors, to determine the interaction amongst the input factors and finally establish the optimum model for predicting the weld bead parameters that leads to the desired weld quality. This paper proposes an Adaptive Neuro Fuzzy Inference System (ANRS) technique of fuzzy based systems for modelling and simulation of the Submerged Arc Welding process. The performance of the ANFIS model developed is validated by comparing the predicted results with the actual experimental results.