Prediction of Impact Energy of TIG Mild Steel Welds Using RSM

Abstract

The present trend in the fabrication industries is the use of automated welding processes to obtain high production rates and high quality output.TIG welding, happens to be the best welding method employed in  the manufacturing industry. one of the problem facing the fabrication industry is the control of the process input parameters to obtain a good welded joint . however it is essential to establish the relationship between process parameters and weld quality output to predict and control weld bead quality .The aim of this study is to predict the impact energy of TIG mild steel welds using ANN.In this study, twenty experimental runs were carried out, each experimental run comprising the current, voltage and gas flow rate, the TIG welding process was used to join two pieces of mild steel plates measuring 60 x40 x10 mm , the impact energy was measured respectively. Analysis of variance (ANOVA) a p-value  of 0.0001 which is <0.005 indicates that the model is significant To validate the significance and adequacy of the model based on its ability to  predict the impact energy,the goodness of fit statistics showns that the model posses an R² value of 0.705989and R² adjusted of 0.537617a noise to signal ratio of 7.89717 was realized, a ratio greater tha 4 is desired  indicating thatt the model possesed adequate signal  to predict the target response.