OPTIMIZATION OF PROCESS PARAMETERS FOR MILLING OF Ti-6Al-4V ALLOY ADDITIVELY MANUFACTURED

Abstract

In this study, Ti6Al4V is employed as the workpiece, which is typically made via metal forming, a widespread process that has always existed. In this study, however, we will use Ti6Al4V generated by Selective Laser Melting and additive manufacturing to create something novel (SLM). The workpiece is milled, and it will later experience the influence of the cutting settings on the workpiece. The purpose of the inquiry is to determine the surface roughness of the workpiece. The parameters used are spindle speed, depth of cut, and feed rate, and three distinct tool models are employed. With this study, we hope to gain a clearer understanding of the effect of cutting settings on Additive manufacturing-formed workpieces. In addition to the workpiece, this study seeks to determine the ideal cutting parameters and their effect on surface roughness. Cutting parameters have an impact, but the differences are rather minor. The experimental results show that surface roughness decreases with increasing spindle speed, with the optimum condition obtained at a spindle speed of 7000 rpm, a depth of cut of 0.1 mm, and a feed rate of 600 mm/min based on the Taguchi method. ANOVA analysis indicates that spindle speed contributes the most to surface roughness (72.14%), followed by feed rate (11.26%), depth of cut (9.82%), and the model (6.78%).