Optimization of Process parameters of friction stir welded joint of dissimilar Al-alloy AA2024 and AA5052 using response surface methodology

Identification of process parameters and their effects on the outcomes of the system using an experimental method could be a time-consuming, daunting and costly course. Using proper statical methods, i.e. response surface methodology (RSM) could significantly reduce the number of required experiments and the statistical significance of the process parameters can be identified. Friction stir welding (FSW) is one of those welding techniques with various parameters that have different effects on the quality of the welds. In FSW the tool rotational speed (TRS) and traverse speed (TS) influence the mechanical properties of the fusion zone. In this work, the effect of tool rotational speed, traverse speed and tilt angle on mechanical properties of friction stir welded joint of AA2024 and AA5052 have been investigated. There are 20 experiments were performed as per the center composite design (CCD) approach of RSM. The tensile test was carried out to observe tensile strength and percentage elongation of FSW joints. The quadratic regression mathematical model was developed to establish a relation between inputs and outputs. ANOVA was used to ensure the significance of the process parameters and their interactions. An optimized combination of process parameters was determined using grey relation coupled with principal component analysis, a hybrid approach.

This article is published in peer review journal and open access journal, International journal of research in engineering and innovation (IJREI) which have a high impact factor journal for more details regarding this article, please go through our journal website.

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