Journal Article

Determination of Optimum Machining Parameters for Face Milling Process of Ti6A14V Metal Matrix Composite

Ajit Behera, Shankar Sehgal, Jajneswar Nanda, Kuldeep K. Saxena, Shakti Prasad Jena, Saurav Dixit, Dalael Saad Abdul-Zahra, Rakesh Nayak, Chander Prakash, Layatitdev Das

2022

Overview

This paper shows the novel approach of Taguchi-Based Grey Relational Analysis of Ti6Al4V Machining parameter. Ti6Al4V metal matrix composite has been fabricated using the powder metallurgy route. Here, all the components of TI6Al4V machining forces, including longitudinal force (Fx), radial force (Fy), tangential force (Fz), surface roughness and material removal rate (MRR) are measured during the facing operation. The effect of three process parameters, cutting speed, tool feed and cutting depth, is being studied on the matching responses. Orthogonal design of experiment (Taguchi L9) has been adopted to execute the process parameters in each level. To validate the process output parameters, the Grey Relational Analysis (GRA) optimization approach was applied. The percentage contribution of machining parameters to the parameter of response performance was interpreted through variance analysis (ANOVA). Through the GRA process, the emphasis was on the fact that for TI6Al4V metal matrix composite among all machining parameters, tool feed serves as the highest contribution to the output responses accompanied by the cutting depth with the cutting speed in addition. From optimal testing, it is found that for minimization of machining forces, maximization of MRR and minimization of Ra, the best combinations of input parameters are the 2nd stage of cutting speed (175 m/min), the 3rd stage of feed (0.25 mm/edge) as well as the 2nd stage of cutting depth (1.2 mm). It is also found that hardness of Ti6Al4V MMC is 59.4 HRA and composition of that material remain the same after milling operation.

• Publisher: MDPI AG,MDPI
• Subject: Content analysis / Cutting parameters / Cutting speed / Design of experiments / Face milling / Material removal rate (machining) / Medical research / Metal matrix composites / Optimization / Powder metallurgy / Process parameters / Signal to noise ratio / Stainless steel / Surface roughness / Ti6Al4V; facing operation; Taguchi method; grey relational analysis; ANOVA; optimization / Titanium alloys / Titanium base alloys / Variance analysis