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Research Article

Optimization of process parameter of FS-welding of aluminum-lithium alloy (AA8090) by using desirability analysis

Munna Singh Dahiya, Meenu Gupta

Department of Mechanical Engineering, National Institute of Technology, Kurukshetra, India

Keywords

Abstract


FS-welding;

 Central composite design; 

 ANOVA;

 Response surface methodology


This study explores the potential of Friction Stir Welding (FSW) for Aluminum Lithium (AA8090) Alloys, emphasizing the crucial role of experimental investigations in optimizing the FSW process. Using a vertical machine center (VMC) with a customized fixture and tool for FSW, factors like Rotational speed (RS), Tilt angle (TA), and Welding Speed (WS) are considered to enhance ultimate tensile strength (UTS) and % elongation (EL). A regression model based on Response Surface Methodology's Central Composite Design (CCD) is used to analyze UTS and % EL. The effectiveness of welded joints is comparable to the parent metal, with optimal UTS and EL achieved at 1428 rpm rotational speed, 36.4 mm/min welding speed, and 1.5° tilt angle. While significant interaction effects are observed in UTS, none are noted in EL. FSW joint performance is evaluated through microstructural analysis, microhardness distribution and fractography analysis.

© 2024 MIM Research Group. All rights reserved.

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2023 Reviewer Awards:

Please, visit Reviewer Awards section for the winners of the 2022 RESM reviewer awards.



2023 Best Paper Award:

The paper authored by Ferzan Fidan, Naim Aslan, Mümin Mehmet Koç entitled as “Morpho-structural and compressive mechanical properties of graphene oxide reinforced hydroxyapatite scaffolds for bone tissue applications” is awarded.



2023 Most Cited Paper Award:

The paper authored by Ercan Işık, Ehsan Harirchian, Hüseyin Bilgin, Kirti Jadhav entitled as “The effect of material strength and discontinuity in RC structures according to different site-specific design spectra" is awarded.


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