Abstract
Titanium alloys are generally used in aerospace industries due to its ability to retain its high strength at elevated temperatures. Present paper deals with Taguchi optimization approach applied to optimize process parameter in turning of Ti-6Al-4V ELI (grade 23) titanium alloy workpiece with coated carbide tool under dry condition. The trails carried out by employing L9 orthogonal array. Linear regression modelling was adopted to develop a model for prediction of experimental results. The predicated results lay proximal to the experimental value. Main effects plot and ANOVA are used to analyse the effect of input variables namely speed (v), feed (f) and depth of cut (d) on chip reduction coefficient. The optimal parameter setting obtained for chip reduction coefficient is d3-fl-vl i.e (d = 0.4 mm; f = 0.04 mm/rev; v = 46 m/min).
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