Investigation of Dissimilar Resistance Spot Welding Process of AISI 304 and AISI 1060 Steels with TLBO-ANFIS and Sensitivity Analysis

In this work, the process of dissimilar resistance spot welding (RSW) for AISI 304 and 1060 steel sheets is experimentally investigated. The effects main parameters such as current, electrode force, cycle, cooling cycle on tensile-shear strength (TSS) RSW joints are studied. To aim, using a central composite experimental design based response surface methodology (RSM), tests were performed. Furthermore, from test results, an adaptive neuro-fuzzy inference system (ANFIS) was developed to model estimate TSS. optimal ANFIS obtained teaching-learning-based optimization (TLBO) algorithm. order behavior, results experiments used training (70% data) testing (30% system. accuracy investigated via different plots statistical criteria including root mean square error, correlation coefficient, absolute percentage error. findings show that network successfully predicts addition, error in estimating TSS section equal 0.08% 5.87%, respectively. After modeling with TLBO-ANFIS, effect each input parameter quantitatively measured Sobol sensitivity analysis method. increasing current leads increase joints. It concluded decreases increases force cycle.