[Retracted] Green Machining Characteristics Study of Al‐6063 in CNC Milling Using Taguchi Method and Grey Relational Analysis

Abstract

Green machining strategies in the manufacturing sector help to maintain the product value by considering the environmental impacts. Also, improvisation in the quality contribution of the parts can minimize the environmental consequences by improving resource efficiency, specifically in terms of coolants used in machining. Certain hazardous impacts have been witnessed because of longer exposure to such a machining environment. To address it, many researchers have concentrated on providing a healthy machining environment either by introducing dry machining or by minimum quantity lubrication (MQL). The proposed study addresses this context. The influence of these tactics on the attained surface quality of Al-6063 is quantified in this paper in terms of surface integrity (Ra) and removal rate of material (MRR). The study involves single-response optimization using the Taguchi design and multiresponse optimization using grey relational analysis (GRA). The results reveal that the depth of cut (Dc) and spindle speed (Ss) have the greatest impact on Ra and MRR. The machinability of Al-6063 is examined by considering the key machinability parameters, such as the spindle speed (Ss), feed rate (Fr), and the depth of cut (Dc), to arrive at the best possible surface roughness and removal rate of the material. As a typical Taguchi approach cannot perform multiresponse optimization, grey relational analysis is used. The grey relational analysis combined with Taguchi gives a novel methodology for multioptimization. The entire study is performed in dry condition and under minimum quantity lubrication. The results suggest that the responses are highly influenced by the depth of cut and spindle speed.

Evaluation of machinability performance of T51603 using response surface methodology and grey relational analysis

“…MANSOUR and ABDALLA [5] created an analytical model. SURESH et al [6] studied single-response and multi-response optimization using the Taguchi design and grey relational analysis (GRA) while working on Al6063 using green machining techniques.…”

Integration of Taguchi and Promethee for CNC Milling Machining Parameter Optimization on Aa6061

“…In addition, the material removal rate is more optimal in optimizing the response and significantly reduces the material resistance to cutting. Suresh, et al [17] minimized surface roughness (Ra) and maximized material removal rate in green-based cnc milling. This research aims to reduce waste to a minimum in the manufacturing process in order to create green manufacturing in the surrounding environment.…”

Retracted: Green Machining Characteristics Study of Al-6063 in CNC Milling Using Taguchi Method and Grey Relational Analysis

“…Tis article has been retracted by Hindawi, as publisher, following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of systematic manipulation of the publication and peer-review process.…”