Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/4430
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dc.contributor.authorRanganathan, S-
dc.contributor.authorSenthilvelan, T-
dc.contributor.authorSriram, G-
dc.date.accessioned2009-06-03T11:43:13Z-
dc.date.available2009-06-03T11:43:13Z-
dc.date.issued2009-07-
dc.identifier.issn0022-4456-
dc.identifier.urihttp://hdl.handle.net/123456789/4430-
dc.description592-596en_US
dc.description.abstractThis paper presents a newly developed mathematical modeling for process parameters on hard turning of AISI 316stainless steel by tungsten carbide inserts (WC). Regression analysis and ANOVA theory was used to predict surface roughness(Ra) and tool wear (VB). WC tool inserts performed machining of AISI 316 SS to study main and interaction effects of processparameters [cutting speed (Vs), feed rate (fs) and depth of cut (ap)]. Adequacies of developed model were verified by calculationof correlation coefficient (r). These models can be effectively used to predict Ra of work piece and VB of WC insert.en_US
dc.language.isoen_USen_US
dc.publisherCSIRen_US
dc.sourceJSIR Vol.68(07) [July 2009]en_US
dc.subjectANOVAen_US
dc.subjectFactorial designen_US
dc.subjectHard turningen_US
dc.subjectPredictive modelen_US
dc.subjectSurface roughnessen_US
dc.subjectTool wearen_US
dc.titleMathematical modeling of process parameters on hard turning ofAISI 316 SS by WC inserten_US
dc.typeArticleen_US
Appears in Collections:JSIR Vol.68(07) [July 2009]

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