Title: Multi-objective optimisation of drilling process parameters in AlSi₆Cu₃ via grey relational analysis and ANOVA

Authors: S.P. Sundar Singh Sivam; D. Kumaran; N. Harshavardhana

Addresses: Department of Mechanical Engineering, SRM Institute of Science and Technology, Chengalpattu District, Kattankulathur – 603203, Tamil Nadu, India ' Department of Mechanical Engineering, SRM Institute of Science and Technology, Chengalpattu District, Kattankulathur – 603203, Tamil Nadu, India ' Department of Mechanical Engineering, SRM Institute of Science and Technology, Chengalpattu District, Kattankulathur – 603203, Tamil Nadu, India

Abstract: In this work, the effect of drilling parameters with a point angle of 140°, on AlSi₆Cu₃ cast alloy using a CNC milling machine was investigated. Characteristics of alloy like hardness, S-Das value, X-ray characterisation were made. The process parameters feed and spindle feed set at various levels and their combinations were explored for multi-objective optimisation of responses like surface roughness, circularity, burr size, and thrust force. Orthogonal array, grey relation analysis, and ANOVA were used for the improvement of the multi-factor issues and found extremely helpful tool for foreseeing the responses in the drilling process. It was revealed that cutting speed and feed rate are prominent factors which affect the drilling of AlSi₆Cu₃. It was found that the cutting speed influences by 76.8%, followed by the feed rate by 23.69%. The best performance characteristics were obtained with the feed 1.52 mm/rev and speed 1.35 m/min. [Submitted 13 April 2017; Accepted 20 August 2020]

Keywords: AlSi₆Cu₃; mechanical properties; X-ray; hardness; dry drilling; Taguchi; ANOVA.

DOI: 10.1504/IJMR.2022.125875

International Journal of Manufacturing Research, 2022 Vol.17 No.3, pp.268 - 282

Accepted: 20 Aug 2020
Published online: 30 Sep 2022 *

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