Optimization of process parameters and material characterization in underwater friction stir welding of dissimilar aluminum alloys using GRA-TOPSIS

This study aims to optimize process parameters for underwater friction stir welding of dissimilar aluminum alloys AA6061-T6 and AA5083-H12 to improve tensile strength and elongation of the weld joints. A multi-criteria decision-making approach is employed, utilizing gray relational analysis and the technique for order preference by similarity to ideal solution. These methods are compared to identify optimal welding parameters, emphasizing their simplicity, ease of use, and computational efficiency. The optimal parameters determined are a tool rotation speed of 1120 rpm and a welding speed of 63 mm/min, which yielded the highest tensile strength and elongation. The findings reveal that welding speed significantly impacts the tensile strength and elongation of the weld joints. The study also includes an analysis of material flow behavior, microstructure, and fracture characteristics. The average grain size obtained at the thermo-mechanically affected zone on the retreating side, stir zone, and thermo-mechanically affected Zone on the advancing side are 8.08 µm, 5.9 µm, and 6.81 µm, respectively. The findings are especially valuable for offshore and marine applications, where high-strength aluminum alloy welding is critical.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering
Published
2025-04-16
DOI
https://doi.org/10.1177/09544089251333519
Citations
1
Primary Topic
Advanced Welding Techniques Analysis
Type
article
Field-Weighted Citation Impact
0.71
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article

Optimization of process parameters and material characterization in underwater friction stir welding of dissimilar aluminum alloys using GRA-TOPSIS

Prakash Kumar, Sanjay Kumar Jha, Nishant Nishant, Somnath Chattopadhyaya et al.
1 citations
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering
Advanced Welding Techniques Analysis
0.71
article

Optimization of process parameters and material characterization in underwater friction stir welding of dissimilar aluminum alloys using GRA-TOPSIS

Prakash Kumar, Sanjay Kumar Jha, Nishant Nishant, Somnath Chattopadhyaya, Prashant Prakash
article en
1 citations

Abstract

This study aims to optimize process parameters for underwater friction stir welding of dissimilar aluminum alloys AA6061-T6 and AA5083-H12 to improve tensile strength and elongation of the weld joints. A multi-criteria decision-making approach is employed, utilizing gray relational analysis and the technique for order preference by similarity to ideal solution. These methods are compared to identify optimal welding parameters, emphasizing their simplicity, ease of use, and computational efficiency. The optimal parameters determined are a tool rotation speed of 1120 rpm and a welding speed of 63 mm/min, which yielded the highest tensile strength and elongation. The findings reveal that welding speed significantly impacts the tensile strength and elongation of the weld joints. The study also includes an analysis of material flow behavior, microstructure, and fracture characteristics. The average grain size obtained at the thermo-mechanically affected zone on the retreating side, stir zone, and thermo-mechanically affected Zone on the advancing side are 8.08 µm, 5.9 µm, and 6.81 µm, respectively. The findings are especially valuable for offshore and marine applications, where high-strength aluminum alloy welding is critical.

Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering
Birla Institute of Technology, Mesra (IN), Indian Institute of Technology Dhanbad (IN), Martin University (US), Usha Martin (India) (IN)
Openalex Percentile: Top 34%
Advanced Welding Techniques Analysis
0.71
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Optimization of process parameters and material characterization in underwater friction stir welding of dissimilar aluminum alloys using GRA-TOPSIS — Prakash Kumar, Sanjay Kumar Jha, et al. · Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2025) | TGRS Research Map | TGRS