Chiang Mai Journal of Science

Print ISSN: 0125-2526 | eISSN : 2465-3845

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Investigation and Desirability Function Analysis for Optimization of Welding Process Parameters For Friction Stir Welding of Aluminium Metal Matrix Composite

Seenivasan Murugesan, Kathiravan Nanjundan, Santhanakrishnan Raman and Ganesan Thirumalai
* Author for corresponding; e-mail address: drmseenivasan@gmail.com
Volume: Vol.49 No.5 (September 2022)
Research Article
DOI: https://doi.org/10.12982/CMJS.2022.089
Received: 10 June 2022, Revised: 1 July 2022, Accepted: 8 July 2022, Published: -

Citation: Murugesan S., Nanjundan K., Raman S. and Thirumalai G., Investigation and desirability function analysis for optimization of welding process parameters for friction stir welding of sluminium metal matrix composite. Chiang Mai Journal of Science, 2022; 49(5): 1405-1415. DOI 10.12982/CMJS.2022.089.

Abstract

     Friction stir welding (FSW) is employed for welding of aluminium metal matrix composite (MMC) reinforced with zirconium dioxide and Graphite as the reinforcing element. Stir casting is used for mixing the MMC and the reinforcing element. The specimens are fabricated in the form of rectangular plates and the plates are then welded using FSW process. The welding process parameters considered in this work are; tool rotational speed, welding speed and axial load. The tensile strength and the hardness of the weld nugget are investigated using response surface methodology. The ANOVA analysis and the response optimizer are used to evaluate the optimum welding process parameters and the results are then validated.

Keywords: aluminium alloy, metal matrix composite, friction stir welding, desirability function analysis, response surface methodology

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