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dc.contributor.authorGopalsamy, Bala Murugan-
dc.contributor.authorMondal, Biswanath-
dc.contributor.authorGhosh, Sukamal-
dc.identifier.issn0975-1084 (Online); 0022-4456 (Print)-
dc.description.abstractIn this paper, Taguchi method is applied to find optimum process parameters for end milling while hard machining of hardened steel. A L18 array, signal-to-noise ratio and analysis of variance (ANOVA) are applied to study performance characteristics of machining parameters (cutting speed, feed, depth of cut and width of cut) with consideration of surface finish and tool life.Chipping and adhesion are observed to be main causes of wear. Results obtained by Taguchi method match closely with ANOVA and cutting speed is most influencing parameter. Multiple regression equations are formulated for estimating predicted values of surface roughness and tool wear.en_US
dc.sourceJSIR Vol.68(08) [August 2009]en_US
dc.subjectEnd millingen_US
dc.subjectHard machiningen_US
dc.subjectRegression analysisen_US
dc.subjectTaguchi methodsen_US
dc.titleTaguchi method and ANOVA: An approach for process parameters optimization ofhard machining while machining hardened steelen_US
Appears in Collections:JSIR Vol.68(08) [August 2009]

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