A comparison between optimization techniques of cutting parameters under cryogenic machining process. (2020)

• Record Type: Journal Article
• Authors: Khare, Sanchit Kumar; Phull, Gurpreet Singh; Verma, Rupesh Kumar; Agarwal, Sanjay
• Is Part Of: Materials today. Volume 26:Part 2(2020)
• Page Start: 2697
• Page End: 2700
• Publication Date: 2020
• Subjects: GRA -- Topsis -- Taguchi technique -- Cryogenic machining -- Surface Roughness -- Metal Removal Rate; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2020.02.567
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: Various statistical methods are present for improving the various machining variables of cryogenic turning process. The experiments were done and multi response characteristic such as material removal rate and surface roughness were calculated. In this research paper a comparison is done between grey relational analysis, Topsis and Taguchi Technique. The aim of this work is to find out optimizing the machining parameter on a single operation and compare the outcomes. Thus the advancement is completed with the end goal that the subsequent enhanced parameters will promote a trade-off between the productivity and surface quality.