Optimizing Friction Stir Welding of Dissimilar Grades of Aluminum Alloy Using WASPAS

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dc.contributor.authorRajesh, Pinnavasal Venukrishnancs
dc.contributor.authorGupta, Krishna Kumarcs
dc.contributor.authorČep, Robertcs
dc.contributor.authorRamachandran, Manickamcs
dc.contributor.authorKouřil, Karelcs
dc.contributor.authorKalita, Kanakcs
dc.coverage.issue5cs
dc.coverage.volume15cs
dc.date.accessioned2022-07-22T14:52:18Z
dc.date.available2022-07-22T14:52:18Z
dc.date.issued2022-02-24cs
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).en
dc.formattextcs
dc.format.extent1-12cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationMaterials . 2022, vol. 15, issue 5, p. 1-12.en
dc.identifier.doi10.3390/ma15051715cs
dc.identifier.issn1996-1944cs
dc.identifier.other177811cs
dc.identifier.urihttp://hdl.handle.net/11012/208194
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofMaterialscs
dc.relation.urihttps://www.mdpi.com/1996-1944/15/5/1715cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1996-1944/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectaluminumen
dc.subjectalloysen
dc.subjectcompositesen
dc.subjectstir castingen
dc.subjectfriction stir weldingen
dc.subjectparametersen
dc.subjectpropertiesen
dc.subjectmulti-attribute decision makingen
dc.subjectoptimizationen
dc.titleOptimizing Friction Stir Welding of Dissimilar Grades of Aluminum Alloy Using WASPASen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-177811en
sync.item.dbtypeVAVen
sync.item.insts2022.07.22 16:52:18en
sync.item.modts2022.07.22 16:14:19en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav strojírenské technologiecs
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