Multi-response optimization of process parameters using Taguchi method and grey relational analysis during turning AA 7075/SiC composite in dry and spray cooling environments

Abstract

Turning experiments were carried out on AA 7075/SiC composite workpiece in dry and spray cooling environments based on L16 Taguchi design of experiments. Multiple performance optimization of process parameters was performed using grey relational analysis. The performance characteristics considered were average surface roughness, cutting tool temperature and material removal rate. Uncoated carbide inserts were used for machining the workpiece in a high speed precision lathe. A grey relational grade obtained from grey relational analysis was used to optimize the process parameters. Optimal combination of process parameters was then determined by the Taguchi method using the grey relational grade as the performance index. Experimental results indicated that the turning in spray cooling environment was beneficial compared to that in dry environment for the quality response characteristics under consideration. Analysis of variance showed that feed was the most significant parameter for the multiple performance characteristics during turning in both the environments.

Fabrication process optimization for improved mechanical properties of Al 7075/SiCp metal matrix composites

“…However, if the response is "larger is better", then Eq. (7) is used for its normalization (Tzeng et al, 2009;Mishra et al, 2015).…”

“…High specific stiffness and strength, better high temperature properties and thermal capacity; and low thermal expansion coefficient make the Al-based MMCs suitable for application in aerospace, marine, automotive drive shaft fins, explosion engine components, heat sinks, solar panels and antenna reflectors etc. (Alaneme & Aluko 2012;Das et al, 2014;Das et al, 2015;Mishra et al, 2015).…”

Machining Performance of Aluminium 7075 Composite: A Grey Based Taguchi Concept

“…Mishra et al [19], during straight turning the SiC p impregnated aluminium 7075 MMCs by uncoated WC tools in both dry and spray cooled conditions, noticed lower values of surface roughness and tool temperature in spray cooled condition than those in dry condition for the identical levels of speed, feed and cutting depth. Bhuyan and Routara [3] optimized the machining parameters through VIKOR followed by entropy weight method while electro discharge machining (EDM) Al/18 wt.% SiC p MMCs, and reported that 116 µsec pulse on time, 20 Amp pulse current and 0.836 Kg/cm 2 flushing pressure were the optimized cutting factors for the multi performance machining criteria (rate of material removal, rate of tool wear, radial overcut and average roughness of machined surfaces).…”

Machining performance of aluminium matrix composite and use of WPCA based Taguchi technique for multiple response optimization

“…Aluminium matrix composites (AMCs) impregnated with hard ceramic particulates are replacing the conventional materials in automobile, aerospace, marine and military applications for their significant properties; like high temperature resistance, high stiffness and high strength to weight ratio (Manna & Bhattacharyya, 2003;Yingfei et al, 2010;Mishra et al, 2015;. Existence of hard SiC particulates in the composites causes difficulty in machining with carbide tip tools, leading to inferior surface quality and too much tool wear (Manna & Bhattacharyya, 2003;Panda et al, 2017).…”