Estimation of Optimum Dilution in the GMAW Process Using Integrated ANN-GA

dc.contributor.authorP, Sreeraj
dc.contributor.authorKannan, T
dc.contributor.authorMaji, Subhashis
dc.date.accessioned2017-07-14T07:11:39Z
dc.date.available2017-07-14T07:11:39Z
dc.date.copyright2013en_US
dc.description.abstractTo improve the corrosion resistant properties of carbon steel, usually cladding process is used. It is a process of depositing a thick layer of corrosion resistant material over carbon steel plate. Most of the engineering applications require high strength and corrosion resistant materials for long-term reliability and performance. By cladding these properties can be achieved with minimum cost. The main problem faced on cladding is the selection of optimum combinations of process parameters for achieving quality clad and hence good clad bead geometry. This paper highlights an experimental study to optimize various input process parameters (welding current, welding speed, gun angle, and contact tip to work distance and pinch) to get optimum dilution in stainless steel cladding of low carbon structural steel plates using gas metal arc welding (GMAW). Experiments were conducted based on central composite rotatable design with full replication technique, and mathematical models were developed using multiple regression method. The developed models have been checked for adequacy and significance. In this study, artificial neural network (ANN) and genetic algorithm (GA) techniques were integrated and labeled as integrated ANN-GA to estimate optimal process parameters in GMAW to get optimum dilution.en_US
dc.description.searchVisibilitytrueen_US
dc.description.urihttps://www.hindawi.com/journals/je/2013/285030/en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.urihttps://www.hindawi.com/journals/je/2013/285030/en_US
dc.identifier.urihttp://www.ignou.ndl.iitkgp.ac.in:8080/xmlui/handle/123456789/57
dc.language.isoengen_US
dc.publisherHindawi Ltd., Adam Houseen_US
dc.publisher.date2013
dc.publisher.placeLondonen_US
dc.relation.requiresPDF viewer Pluginen_US
dc.rights.accessRightsndlen_US
dc.sourceIGNOUen_US
dc.source.urihttp://www.ignou.ac.in/en_US
dc.subjectChemical Engineering and Technologyen_US
dc.subject.ddc671.36en_US
dc.subject.otherChemical Engineering and Technologyen_US
dc.titleEstimation of Optimum Dilution in the GMAW Process Using Integrated ANN-GAen_US
dc.typetexten_US
lrmi.educationalAlignment.difficultyLevelmediumen_US
lrmi.educationalAlignment.educationalFrameworkUniversity Grants Commission (UGC)en_US
lrmi.educationalAlignment.educationalLevelug_pgen_US
lrmi.educationalAlignment.pedagogicObjectiveFor Academic and research useen_US
lrmi.educationalRoleteacheren_US
lrmi.educationalUseresearchen_US
lrmi.interactivityTypemixeden_US
lrmi.learningResourceTypearticleen_US
lrmi.typicalAgeRange22+en_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Subhashis Maji, P. Sreeraj and T. Kannan - Estimation of Optimum Dilution in the GMAW Process Using.pdf
Size:
1.65 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: