This study presents a novel approach for weld defect analysis and characterization in friction stir welding (FSW) of AA 6061-T6 and AA 5052-H32 dissimilar alloys, aiming to advance the understanding of defect dynamics and enhance the overall performance and reliability of weld joints. So, the primary goal of this research was to accomplish the efficient joining of dissimilar aluminum alloys with minimal defects and to advance the understanding of joint characteristics through a holistic strategy incorporating both destructive and non-destructive testing (NDT) methodologies. Grey relational analysis was utilized to select significant experimental levels, guiding the selection of suitable specimens for NDT. A regression analysis was performed between input parameters and output responses, and a moderate fit was achieved. For NDT analysis, a micro-CT scanner was employed to identify and quantify tunnel defects, encompassing height, width, and porosity volume. Finally, controlled parametric variation experiments were conducted by varying the input parameters to optimize plastic deformation and heat generation, significantly reducing tunnel defects through incremental dwell time variation. The findings offer valuable insights into defect minimization and parameter optimization, advancing the efficacy and precision of FSW for dissimilar aluminum alloy joints, with implications for broader industrial applications.
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