Optimization of Friction Welding Parameters for AISI 304/AA6061 Dissimilar Metal Joint using RSM/ANFIS Mathiazhagan N.*, Kumar T. Senthil**, Chandrasekar M.** *Department of Mechanical Engineering, Meenakshi Ramaswamy Engineering College, Ariyalur, Tamil Nadu, India **Dean, University College of Engineering, Trichy, Tamil Nadu, India Online published on 2 August, 2016. Abstract Friction welding is a class of the solid-state welding process that generates heat through mechanical friction between two components under the influence of an axial load which creates frictional heat in the interface and joins the parts both similar as well as dissimilar metals. But efficient utilization of the friction welding process parameters is not up to the mark because of lack of advanced modeling. This paper has a specific aim of identifying the effective tool to predict and analyze the effect of friction welding process parameters, Using response surface methodology and Adaptive Neuro-Fuzzy Inference System. The dissimilar materials used in this investigation are Austenitic stainless steel (ASS) AISI 304 and AA 6061. A four factors and five levels design model was developed for obtaining empirical relationship between the important process parameters, such as friction pressure, forging pressure, friction time and forging time on the tensile property of the welded joints. It was observed that the output response, predicted by ANFIS had a greater accuracy than those predicted by RSM Top Keywords Friction welding, RSM, ANFIS, AISI 304, AA6061. Top |