Effect of Drilling Process Parameters on Surface Roughness of LM6/B4C Composites
C. Sarala Rubi1, J. Udaya Prakash2

1C. Sarala Rubi, Department of Physics, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India.
2Dr.J. Udaya Prakash* Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India.
Manuscript received on November 28, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 3835-3838  | Volume-9 Issue-2, December, 2019. | Retrieval Number:  B4109129219/2019©BEIESP | DOI: 10.35940/ijeat.B4109.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Metal matrix composites are a new course of materials with superior properties to those of the components. Such materials ‘ machining is distinct from that of traditional materials. So the optimization of machining process parameters becomes inevitable. By applying Taguchi’s Signal-to-Noise ratio method, this paper examines the effects of drilling process parameter such as feed, spindle speed, drill material and percentage reinforcement on the drilled hole’s surface roughness. Variance analysis was used to evaluate each system parameter’s contribution to surface roughness. The composites were manufactured by stir casting technique using aluminium alloy (LM6) as matrix material and boron carbide particulates at 3%, 6% and 9% by weight as material for the reinforcement. There are four factors investigated each at three levels, so 34 which implies 81 experiments has to be conducted, but by using Design of Experiments approach 27 experiments were conducted using L27 orthogonal array The minimum surface roughness measured for the hole was 1.08 µm at combination of 3000 rpm spindle speed, 50 mm/min feed rate, 3% reinforcement and Carbide drill.
Keywords: ANOVA, Composites, Drilling, Surface Roughness, Taguchi Technique.