Optimizing friction stir welding of dissimilar grades of aluminum alloy using WASPAS

dc.contributor.authorRajesh, Pinnavasal Venukrishnan
dc.contributor.authorGupta, Krishna Kumar
dc.contributor.authorČep, Robert
dc.contributor.authorRamachandran, Manickam
dc.contributor.authorKouřil, Karel
dc.contributor.authorKalita, Kanak
dc.date.accessioned2022-06-08T08:17:50Z
dc.date.available2022-06-08T08:17:50Z
dc.date.issued2022
dc.description.abstractAluminum is a widely popular material due to its low cost, low weight, good formability and capability to be machined easily. When a non-metal such as ceramic is added to aluminum alloy, it forms a composite. Metal Matrix Composites (MMCs) are emerging as alternatives to conventional metals due to their ability to withstand heavy load, excellent resistance to corrosion and wear, and comparatively high hardness and toughness. Aluminum Matrix Composites (AMCs), the most popular category in MMCs, have innumerable applications in various fields such as scientific research, structural, automobile, marine, aerospace, domestic and construction. Their attractive properties such as high strength-to-weight ratio, high hardness, high impact strength and superior tribological behavior enable them to be used in automobile components, aviation structures and parts of ships. Thus, in this research work an attempt has been made to fabricate Aluminum Alloys and Aluminum Matrix Composites (AMCs) using the popular synthesis technique called stir casting and join them by friction stir welding (FSW). Dissimilar grades of aluminum alloy, i.e., Al 6061 and Al 1100, are used for the experimental work. Alumina and Silicon Carbide are used as reinforcement with the aluminum matrix. Mechanical and corrosion properties are experimentally evaluated. The FSW process is analyzed by experimentally comparing the welded alloys and welded composites. Finally, the best suitable FSW combination is selected with the help of a Multi-Attribute Decision Making (MADM)-based numerical optimization technique called Weighted Aggregated Sum Product Assessment (WASPAS).cs
dc.description.firstpageart. no. 1715cs
dc.description.issue5cs
dc.description.sourceWeb of Sciencecs
dc.description.volume15cs
dc.identifier.citationMaterials. 2022, vol. 15, issue 5, art. no. 1715.cs
dc.identifier.doi10.3390/ma15051715
dc.identifier.issn1996-1944
dc.identifier.urihttp://hdl.handle.net/10084/146261
dc.identifier.wos000769170000001
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesMaterialscs
dc.relation.urihttps://doi.org/10.3390/ma15051715cs
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.accessopenAccesscs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectaluminumcs
dc.subjectalloyscs
dc.subjectcompositescs
dc.subjectstir castingcs
dc.subjectfriction stir weldingcs
dc.subjectparameterscs
dc.subjectpropertiescs
dc.subjectmulti-attribute decision makingcs
dc.subjectoptimizationcs
dc.titleOptimizing friction stir welding of dissimilar grades of aluminum alloy using WASPAScs
dc.typearticlecs
dc.type.statusPeer-reviewedcs
dc.type.versionpublishedVersioncs

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