Machining studies of Al7075 in CNC turning using grey relational analysis. (2021)

• Record Type: Journal Article
• Authors: Lakshmanan, M.; Rajadurai, J. Selwin; Rajakarunakaran, S.
• Is Part Of: Materials today. Volume 39:Part 4(2021)
• Page Start: 1625
• Page End: 1628
• Publication Date: 2021
• Subjects: Grey relational analysis -- Turning -- Optimization -- Surface roughness -- MRR -- ANOVA; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2020.05.763
• Languages: English
• ISSNs: 2214-7853

Abstract

Highlights: Evaluation of MRR and Surface Roughness by input parameters like Feed, Speed and Depth of cut in dry and wet conditions. GRA and ANOVA Optimization tools used to identify and confirm the significant factors affecting the performance. Most significant parameters Depth of cut and Speed followed by Feed in turning operation for Al7075 alloy. Abstract: Aluminium plays a vital role in fulfilling that demand due to their lightweight and high strength properties. Al7075 is a work material because of its wide applicability as material for automobile and aerospace components. In metal removal turning is one of the main manufacturing processes. Therefore this paper represents the output parameters of surface roughness and MRR of Al7075 machined by Tungsten carbide tool in dry and wet conditions by varying input parameters like speed, feed and depth of cut. The GRA is carried out to find the minimum value of surface roughness where the MRR is maximum. The optimum machining parameters for turning of Al7075 are recommended at the end of the investigation based on GRA and confirmed by using ANOVA. In this research, the significant parameters are revealed that feed, depth-of-cut and spindle speed in dry and wet conditions.