Abstract
The traditional turning process has used in this study to develop a mathematical model from experimental data to predictthe surface roughness of titanium chrome-molybdenum (Ti-Cr-Mo) alloy when the workpiece is machined with cuttingparameters i.e. spindle rotational speed, feed rate and depth of cut. In order to determine the contribution of the cuttingparameters, the analysis of variance (ANOVA) has been applied and Taguchi technique (smaller the better) has been used tooptimize the parameters that affect the surface roughness. Mitutoyo SJ-400 roughness tester with cutoff length 0.8 mm hasbeen used to measure the surface roughness of machined workpieces. Optimal parameters that are obtained to achieveminimum surface roughness value are 280 rpm rotational speed, 0.5mm/rev feed rate and 0.59 mm depth of cut.
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