Modeling and optimization of MAG welding for gas pipelines using regression analysis and simulated annealing algorithm

Abstract

This study established input-output relationships for metal active gas (MAG) welding for gas pipelines. Regression analysis (RA) was performed on data collected as per Taguchi design of experiments. Adequacy of RA model was verified using ANOVA method. RA model was then embedded into a simulated annealing (SA) algorithm to determine optimal process parameters for weld bead geometry specification. Proposed method is found quite effective in predicting process parameters for weld bead geometry.