The objective on this research work are to be turned titanium based alloys like Titanium Grade-5, 2 & 9 on a conventional machine tool like lathe by using the multilayer coated carbide inserts made with CVD process of nose radius like 0.4mm, 0.8mm and 1.2mm using several optimization approaches. One variable at a time approaches was engaged to categorize machinability influence on Titanium based alloys. Input factors are identical Cutting speed, Feed rate & Depth of to calculate output comeback such by way of Cutting force, surface roughness, tool tip temperature & material removal rate. Technique of optimization was employed to know the machinability characteristics of the titanium based alloys with multilayered coater 0.8mm nose radius inserts at Dry turning condition & able to procurement the optimal clarification for dissimilar cutting condition for Cutting force, surface roughness, turned surface integrity for three different machining condition & chip morphology. Wear of tool inserts examination are carried out for three different alloys under Dry turning environment. Acquired consequences are correlated mathematical model of regression with Artificial Neural Network.

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