Modeling and optimization of process parameters in face milling of Ti6Al4V alloy using Taguchi and grey relational analysis

Titanium alloys are extensively used in aerospace, missiles, rockets, naval ships, automotive, medical devices, and even the consumer electronics industry where a high strength to density ratio, lightweight, corrosion resistance, resistance temperatures important. The machining of these has always been challenging for manufacturers. This article investigates combined effect radial depth, cutting speed feed rate on forces, tool life, surface roughness during face milling Ti6Al4V alloy. study focuses significance depth cut force, life compared that In this paper, mono multi-objective optimization response characteristics have conducted find out optimal input parameters, namely, speed, rate, cut. Taguchi method analysis variance (ANOVA) mono-objective optimization, while Taguchi-based grey relational optimization. regression performed developing mathematical models predict roughness, forces. According ANOVA analysis, most significant parameters force (FY) cut, respectively, is observed be parameter (FX). combination FY 50m/min 0.02mm/rev 7.5mm However, 65m/min For FX, condition as 57.5m/min, A validation experiment, at shows an improvement 31.29% initial condition. 55.81%, 6.12%, 23.98% FY, respectively. based grade Ti6Al4V.