Multi-response optimization of process parameters for drilling of al- sicp composite using grey relational analysis

Rajendra, Beedu and Deepak, D (2018) Multi-response optimization of process parameters for drilling of al- sicp composite using grey relational analysis. International Journal Of Mechanical Engineering And Technology, 9 (13). pp. 1549-1554. ISSN 0976 – 6359

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Abstract

Silicon carbide reinforced aluminum composite material possesses the advantage of high thermal conductivity and low coefficient of thermal expansion. The addition of silicon carbide particles in the composite results in difficulties in machining. This article attempts to identify the optimum parameters which improve the rate of material removal (MRR) and surface finish (Ra) while drilling. The control parameters chosen for the study are drill diameter, cutting speed, feed-rate and coolant flow rate. This multi-response optimization is carried out using grey relational analysis (GRA). The optimum setting which produced high MRR and least surface roughness (Ra) are, the drill diameter - 6 mm, cutting speed - 50 m/s, feed-rate - 40 mm/minute and coolant flow rate - 62 ml/s.

Item Type: Article
Uncontrolled Keywords: MRR, Surface roughness, Taguchi method, ANOVA, GRA, Al6061-SiC
Subjects: Engineering > MIT Manipal > Mechanical and Manufacturing
Depositing User: MIT Library
Date Deposited: 15 Jan 2019 09:01
Last Modified: 15 Jan 2019 09:01
URI: http://eprints.manipal.edu/id/eprint/152957

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