Investigations on Friction Stir Welding Process to Optimize the Multi Responses Using GRA Method
International Journal of Mechanical Engineering and Technology 10(3), 2019, pp. 341–352
12 Pages Posted: 19 Sep 2019
Date Written: September 11, 2019
The research mainly focused on optimizing the multi responses i.e. tensile strength, impact Strength and elongation while conducting the experiments on Friction Stir Welding process. With the help of trial experiments and based on the literature, the following input parameters i.e. tool rotational speed, weld speed and tilt angle are identified as the most influencing parameters and are used in the current study. Experiments are carried out using the Taguchi L9 design. Al7075-T651 and Al6082-T651 aluminium alloys are taken as the parent materials. The tool used is Taper threaded tool. This FSW uses no filler metal to join two work pieces. A study has been made while selecting the tool type. Detailed influences are discussed in the paper. The Grey relational analysis method is applied to optimize the output responses. Further plots are drawn between the input process parameters and the output responses. Overall the method finds best in multi-response optimization of FSW process.
Keywords: Aluminium alloys, FSW process, Multi-Response Optimization, Taguchi based GRA
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