The 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.

中文翻译：

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用Taguchi方法优化钛铬钼（Ti-Cr-Mo）合金车削参数

传统的车削过程已在本研究用于开发从实验数据的数学模型来预测钛铬-钼（钛-铬-钼）当工件被加工有切割参数合金的表面粗糙度，即主轴转速，进给速度和切削深度。为了确定切削参数的贡献，已应用方差分析（ANOVA），并使用了Taguchi技术（越小越好）来优化影响表面粗糙度的参数。截止长度为0.8 mm的Mitutoyo SJ-400粗糙度测试仪已用于测量加工工件的表面粗糙度。获得的最小表面粗糙度值的最佳参数是280 rpm转速，0.5mm / rev进给速度和0.59mm切削深度。