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Multi-Performance Optimization in Friction Stir Welding of Aluminum Alloy Using Response Surface Methodology

Multi-Performance Optimization in Friction Stir Welding of Aluminum Alloy Using Response Surface Methodology

Rajat Gupta, Kamal Kumar, Neeraj Sharma
Copyright: © 2018 |Pages: 24
ISBN13: 9781522547662|ISBN10: 1522547665|EISBN13: 9781522547679
DOI: 10.4018/978-1-5225-4766-2.ch011
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MLA

Gupta, Rajat, et al. "Multi-Performance Optimization in Friction Stir Welding of Aluminum Alloy Using Response Surface Methodology." Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering, edited by Dookie Kim, et al., IGI Global, 2018, pp. 240-263. https://doi.org/10.4018/978-1-5225-4766-2.ch011

APA

Gupta, R., Kumar, K., & Sharma, N. (2018). Multi-Performance Optimization in Friction Stir Welding of Aluminum Alloy Using Response Surface Methodology. In D. Kim, S. Sekhar Roy, T. Länsivaara, R. Deo, & P. Samui (Eds.), Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering (pp. 240-263). IGI Global. https://doi.org/10.4018/978-1-5225-4766-2.ch011

Chicago

Gupta, Rajat, Kamal Kumar, and Neeraj Sharma. "Multi-Performance Optimization in Friction Stir Welding of Aluminum Alloy Using Response Surface Methodology." In Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering, edited by Dookie Kim, et al., 240-263. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-4766-2.ch011

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Abstract

This chapter presents the friction stir welding (FSW) of aluminum alloy AA-5083-O using vertical milling machine. In present FSW experimentation, effects of different process parameter namely tool rotation speed, welding speed, tool geometry, and tool shoulder diameter have been determined on welding quality of two pieces of AA-5083-O using response surface methodology (RSM). The optimal sets of process parameters have been determined for weld quality characteristics namely tensile strength (UTS) and percentage elongation (%EL). In present experimentations, a specially designed tool made of high carbon steel with different shoulder diameters (15mm, 17.5mm, and 20 mm) having constant pin length (6 mm) were used for FSW of two pieces of aluminum alloy. The ANOVA and pooled ANOVA were used to study the effect of FSW parameters on UTS and %EL. Multi response optimization has been carried out using desirability function in conjunction with RSM to obtain the optimal setting of process parameters for higher UTS and lower %EL.

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