Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/340472
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dc.coverage.spatialExperimental and numerical analysis on electrical resistance spot welded dissimilar stainless steel alloys
dc.date.accessioned2021-09-15T04:19:07Z-
dc.date.available2021-09-15T04:19:07Z-
dc.identifier.urihttp://hdl.handle.net/10603/340472-
dc.description.abstractResistance Spot Welding process (RSW) is a famous joining technique used in the manufacturing of car, buses, railway body assemblies and repair work etc. due to its high processing speed. Thousands of spot welds are required to complete a body of automobiles. Accordingly, automobile industries are showing interest in joining stainless steel sheets using RSW process. Among the various varieties of stainless steel, the AISI 316L stainless steel is widely used by fabricators due to its excellent toughness, ductility, corrosion resistance and weldability. Duplex stainless steel (DSS) which consists of ferrite (and#945;) and austenite (and#948;) dual-phase microstructure exhibits a perfect combination of superior mechanical properties and excellent corrosion resistance. Joining of austenitic stainless steel and duplex stainless steel has become a significant competitor to join similar grades of stainless steel in food and beverage manufacturing and processing industries for making equipment like containers, vats, ovens, etc. The selected combination of dissimilar metals for resistance spot welding is satisfactory for service conditions such a high thermal cycles and corrosive environments. AISI 316L stainless steel and 2205 Duplex stainless steel of 2 mm thick are taken as the candidate materials for the present study. A superior weld quality is produced by adjusting or setting suitable welding process parameters. This can be performed by utilizing some optimization techniques. In this present work, Taguchi optimization technique is employed for optimizing the process parameters. The analysis is executed by considering LBH (Larger-the-Better) quality characteristics since the response i.e. tensile-shear fracture load (an inherent property of the weld metal) is predicted to be as high as possible. The ANOVA results show that the most effective and dominant control factor for achieving high tensile shear bearing load capacity is welding current, then comes the heating cycles and the least effective response factor is electrode tip diamete newline
dc.format.extentxvi,116 p.
dc.languageEnglish
dc.relationp.105-115
dc.rightsuniversity
dc.titleExperimental and numerical analysis on electrical resistance spot welded dissimilar stainless steel alloys
dc.title.alternative
dc.creator.researcherVignesh, K
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering
dc.subject.keywordEngineering Mechanical
dc.subject.keywordStainless steel alloys
dc.subject.keywordNumerical analysis
dc.description.note
dc.contributor.guideElayaperumal, A and Velmurugan, P
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Mechanical Engineering
dc.date.registered
dc.date.completed2020
dc.date.awarded2020
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Mechanical Engineering

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02_certificates.pdf80.24 kBAdobe PDFView/Open
03_vivaproceedings.pdf151.01 kBAdobe PDFView/Open
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05_abstracts.pdf56.98 kBAdobe PDFView/Open
06_acknowledgements.pdf16.44 kBAdobe PDFView/Open
07_contents.pdf63.92 kBAdobe PDFView/Open
08_listoftables.pdf46.62 kBAdobe PDFView/Open
09_listoffigures.pdf58.43 kBAdobe PDFView/Open
10_listofabbreviations.pdf51.68 kBAdobe PDFView/Open
11_chapter1.pdf842.42 kBAdobe PDFView/Open
12_chapter2.pdf565.56 kBAdobe PDFView/Open
13_chapter3.pdf1.69 MBAdobe PDFView/Open
14_chapter4.pdf1.17 MBAdobe PDFView/Open
15_chapter5.pdf409.84 kBAdobe PDFView/Open
16_chapter6.pdf1.29 MBAdobe PDFView/Open
17_conclusion.pdf288.01 kBAdobe PDFView/Open
18_references.pdf302.48 kBAdobe PDFView/Open
19_listofpublications.pdf267.85 kBAdobe PDFView/Open
80_recommendation.pdf276.9 kBAdobe PDFView/Open


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