JMS_V1_N2_RP4
Parametric Optimization Of Friction Stir Welded AA 5083 Using Response Surface Methodology
Neeraj Sharma
Rajat Gupta
Sumit Jain
Journal on Material Science
2347–615X
1
2
27
33
AA 5083; ANOVA; Friction Stir Welding; Design of Experiments; Response Surface Methodology; Optimization
Response surface methodology is used to model Friction Stir Welding (FSW) for the prediction of % elongation of AA5083.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.
July – September 2013
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