Prediction of porosity of weldmetal strength using response surface methodology

Abstract

Achieving optimal weld quality and strength in the welding industry,requires precise control and prediction of  porosity. Traditional methods like Response Surface Methodology (RSM) have been widely used for this purpose. This study aims to predict the porosity of weldmetal strength, This study involved conducting 20 experimental welding runs with varying current, voltage, and weld speed. The resulting data on porosity was used to develop predictive model using  RSM. The RSM models were developed using standard statistical techniques. The performance of these models was evaluated based on their predictive accuracy, as indicated by R-squared values of 90.08% showing ability to predict porosity the weld metal strength.