Multi-Objective Optimization of Bead Geometry for Submerged Arc Welding of Pipeline Steel Using RSM-Fuzzy Approach

Abstract

AbstractIn this paper, for the purpose of better control as well as multi-objective optimization of bead geometry parameters, the optimal combination of submerged arc welding (SAW) process variables is determined using fuzzy logic approach. Open circuit voltage, trolley speed, contact tube to work distance, preheating temperature and wire feed rate are taken as process variables during SAW of the pipeline steel. For this experimental investigation, experiments are designed and performed according to response surface methodology (RSM). Bead width, penetration, and reinforcement are taken as the performance measures in bead geometry. In fuzzy logic, two membership function (MF) namely triangular and trapezoidal are employed for the performance comparison of SAW process. As compared to triangular MF, the use of trapezoidal MF has given the more logical and better-optimized results for bead geometry parameters. Outcomes of the study are also confirmed by conducting the confirmatory experiments.