Multi-objective optimisation of drilling process parameters in AlSi6Cu3 via grey relational analysis and ANOVA. (21st September 2022)

• Record Type: Journal Article
• Authors: Sivam, S.P. Sundar Singh; Kumaran, D.; Harshavardhana, N.
• Is Part Of: International journal of manufacturing research. Volume 17:Number 3(2022)
• Page Start: 268
• Page End: 282
• Publication Date: 2022-09-21
• Subjects: AlSi6Cu3 -- mechanical properties -- X-ray -- hardness -- dry drilling -- Taguchi -- ANOVA; Manufacturing processes -- Periodicals; Manufacturing processes -- Automation -- Periodicals; Production engineering -- Periodicals; Factory management -- Periodicals; 670.5
• Languages: English
• ISSNs: 1750-0591

Abstract

In this work, the effect of drilling parameters with a point angle of 140°, on AlSi6 Cu3 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 AlSi6 Cu3 . 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]