Optimization of hole quality in drilling of direct hot-pressed Al/SiC composites using Taguchi method

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Authors: Gökhan Başar, Oğuzhan Der, Funda Kahraman, Sinan Önder
Cited by: 12
References: 50

Abstract

Abstract In this study, aluminium (Al) matrix composites reinforced with 0, 5, and 10 vol% silicon carbide (SiC) particles were fabricated by direct hot-pressing under 35 MPa pressure at 600 °C for a holding time of 5 min. The morphological characteristics of the initial Al and SiC powders were examined using scanning electron microscopy. The fabricated composites were characterized through density measurements, microstructural analysis, X-ray diffraction, and microhardness testing. Microstructural observations confirmed a homogeneous distribution of SiC particles within the Al matrix. Although the relative density decreased with increasing SiC content, microhardness increased due to restricted dislocation motion induced by the hard ceramic reinforcement. The cutting speed, feed rate, point angle, and reinforcement ratio were selected as control factors in the drilling process of Al/SiC composites. In contrast, thrust force, surface roughness, deviation from diameter, and deviation from circularity were selected as performance indicators. The Taguchi method was used to determine the optimal experimental conditions for hole performance indicators. The effects of drilling parameters on the drill bit, hole quality, and chip morphology were investigated. The contribution ratios of the control factors on the responses were determined using analysis of variance. The feed rate was found to be the most effective control factor on hole quality. Regression analysis was applied to establish a mathematical relationship between the control factors and the responses. The R 2 values obtained from the regression equations were found to be quite high. Finally, confirmation experiments conducted with the determined optimal parameter sets have proven the validity of the models by yielding statistically significant results within a 95% confidence interval.

Fields of Study & Subjects

Advanced machining processes and optimization Aluminum Alloys Composites Properties Advanced ceramic materials synthesis

Publication details

Journal / source
Scientific Reports
Publisher
Springer Science and Business Media LLC
Volume
16
Issue
1
Publication date
15 March 2026
Language
EN