Minimization of surface roughness and maximization of material removed rate during machining of titanium alloy ti-6al-4v

For several decades the use of titanium alloys has been highly recommended, especially in aeronautics and shipbuilding and biomedical industries thanks to their good intrinsic properties, namely low density, good resistance to corrosion, etc. The main characteristic of the finished part is the surface roughness, in order to have a better quality of machined surface in turning, our work is based on the minimization of the surface roughness by the criterion Ra and the maximization of the quantity material removed which saves us machining time. The tests carried out in turning of the titanium alloy Ti-6Al-4V with lubrication according to a Taguchi L18 plan by varying four input factors namely: cutting speed, feed rate, depth of cut and tool material (metallic carbide with coating (PVD) (GC1125) and uncoated carbide (H13A)). Analysis of variance (ANOVA) was used to determine the contribution of each factor and to determine which parameters had a significant influence on surface roughness and the rate of material removal. The treatment of the results made it possible to propose a mathematical model allowing the prediction of the surface roughness. Additionally, Taguchi's Signal / Noise (S / N) analysis was used to minimize surface roughness and optimize cutting conditions. © 2020, Politechnica University of Bucharest. All rights reserved.