Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/23138
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dc.contributor.authorDhas, J Edwin Raja-
dc.contributor.authorSatheesh, M-
dc.date.accessioned2013-11-08T11:13:50Z-
dc.date.available2013-11-08T11:13:50Z-
dc.date.issued2013-10-
dc.identifier.issn0975-1017 (Online); 0971-4588 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/23138-
dc.description425-434en_US
dc.description.abstractIt is very tedious to characterize the bead geometry of welding process due to complex existence of parameters that affect weld quality. Researchers have attempted to predict weld bead characteristics including bead size and shape, using various experimental parameters such as welding speed, welding current, arc voltage etc. However, the results of these studies tend to be limited to a specific process parameter range and to certain materials. In this article, the effects of welding process parameters on welding current, arc voltage, welding speed and electrode extension on weld bead geometries and percentage of dilution of submerged arc welding (SAW) on A516 grade 70 carbon steel is presented. Taguchi method which is a systematic optimization method for design and analysis of experiments is introduced to acquire optimum weld conditions. Multiple curvilinear regression models are developed to analyze the effects and interaction of each weld process parameter on the weld bead geometries and dilution. Sensitivity analysis is performed to study detailed characteristics of the weld bead. Results also reveal that the bead reinforcement is almost non-sensitive to the variations in welding current and welding speed.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJEMS Vol.20(5) [October 2013]en_US
dc.subjectSubmerged arc weldingen_US
dc.subjectOrthogonal arrayen_US
dc.subjectAnalysis of varianceen_US
dc.subjectCurvilinear multiple regression analysisen_US
dc.subjectSensitivity analysisen_US
dc.titleSensitivity analysis of submerged arc welding parameters for low alloy steel weldmenten_US
dc.typeArticleen_US
Appears in Collections:IJEMS Vol.20(5) [October 2013]

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