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dc.contributor.authorSingh, Manpreet-
dc.contributor.authorSingh, Gagandeep-
dc.contributor.authorJayant, Arvind-
dc.identifier.issn0975-1017 (Online); 0971-4588 (Print)-
dc.description.abstractThe traditional turning process has used in this study to develop a mathematical model from experimental data to predict the surface roughness of titanium chrome-molybdenum (Ti-Cr-Mo) alloy when the workpiece is machined with cutting parameters i.e. spindle rotational speed, feed rate and depth of cut. In order to determine the contribution of the cutting parameters, the analysis of variance (ANOVA) has been applied and Taguchi technique (smaller the better) has been used to optimize the parameters that affect the surface roughness. Mitutoyo SJ-400 roughness tester with cutoff length 0.8 mm has been used to measure the surface roughness of machined workpieces. Optimal parameters that are obtained to achieve minimum surface roughness value are 280 rpm rotational speed, 0.5mm/rev feed rate and 0.59 mm depth of cut.en_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJEMS Vol.27(3) [June 2020]en_US
dc.subjectTaguchi methoden_US
dc.subjectSurface roughnessen_US
dc.subjectTitanium chrome-molybdenumen_US
dc.subjectAnalysis of variance (ANOVA)en_US
dc.titleOptimization of turning parameters of titanium chrome-molybdenum (Ti-Cr-Mo) alloy using taguchi methoden_US
Appears in Collections:IJEMS Vol.27(3) [June 2020]

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