Multiple Response Optimization with Grey Relational Analysis of Friction Stir Welding Parameters in Joining Dissimilar Aluminium Alloys by Taguchi Method

Abstract:

This paper presents a novel approach for the optimization of welding parameters on dissimilar friction stir welded joints between AA6061T-651 and AA7075T-651 aluminium alloys with multiple responses based on orthogonal array by grey relational analysis. Experiments are conducted by varying the welding parameters related to three pin profiles. In this study, welding parameters namely rotational speed, welding speed and pin profiles are optimized with the considerations of multi responses such as ultimate tensile strength and hardness. A grey relational grade is obtained from the grey analysis. Based on the grey relational grade, optimum levels of parameters have been identified and significant contribution of parameters is determined by ANOVA (Analysis of Variance). Confirmation test is conducted to validate the test result. Experimental results have shown that the responses in welding process can be improved effectively through this novel approach.

• Periodical: Applied Mechanics and Materials (Volumes 592-594)
• Pages: 555-559
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.592-594.555
• Online since: July 2014
• Authors: S. Ravikumar*, V. Seshagiri Rao, V. Pranesh
• Keywords: ANOVA, Friction Stir Welding, Grey Relational Analysis, Optimization, Orthogonal Array

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