Response surface methodology is used to model Friction Stir Welding (FSW) for the prediction of % elongation of AA 5083.The applications of friction stir welding are in aerospace, railways and space craft. The control factors of the process are tool rotational speed, welding speed, shoulder diameter and tool pin profile. Planning of experiments was carried using central composite design. The Analysis Of Variance (ANOVA) is used for the prediction of significant control factors along with their percentage contribution. The predicted optimized (minimum % elongation) setting of FSW control factors are tool rotational speed of 3966.23 rpm, a welding speed of 34.91 mm/min, and 19.89 mm shoulder diameter with trapezoidal pin profile. From this research it is found that the trapezoidal pin profile tool has the best effect on percentage elongation as compared to other pin profiles.
">Response surface methodology is used to model Friction Stir Welding (FSW) for the prediction of % elongation of AA 5083.The applications of friction stir welding are in aerospace, railways and space craft. The control factors of the process are tool rotational speed, welding speed, shoulder diameter and tool pin profile. Planning of experiments was carried using central composite design. The Analysis Of Variance (ANOVA) is used for the prediction of significant control factors along with their percentage contribution. The predicted optimized (minimum % elongation) setting of FSW control factors are tool rotational speed of 3966.23 rpm, a welding speed of 34.91 mm/min, and 19.89 mm shoulder diameter with trapezoidal pin profile. From this research it is found that the trapezoidal pin profile tool has the best effect on percentage elongation as compared to other pin profiles.