Prediction of Surface Roughness in Drilling of Al 7075/10% - SiCp Composite under MQL Condition using Fuzzy Logic

K  Anand Babu; G  Vijaya Kumar and P  Venkataramaiah nbsp

doi:10.17485/ijst/2015/v8i12/54074

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Prediction of Surface Roughness in Drilling of Al 7075/10% - SiCp Composite under MQL Condition using Fuzzy Logic

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2015/v8i12/54074

Year: 2015, Volume: 8, Issue: 12, Pages: 1-10

Original Article

Prediction of Surface Roughness in Drilling of Al 7075/10% - SiCp Composite under MQL Condition using Fuzzy Logic

K. Anand Babu^* , G. Vijaya Kumar and P. Venkataramaiah

Department of Mechanical Engineering, Sri Venkateswara University, Tirupati- 517502, India; [email protected], [email protected], [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

The main aim of this study is to examine the influence of drilling parameters on Aluminium Metal Matrix Composite (Al7075/10% - SiCp). The Drilling experiments were conducted according to Taguchi L27 orthogonal array on Al7075/10% - SiCp composite with uncoated and coated HSS tools under MQL environment. The input parameters were used is speed, feed, tool material, point angle and cutting environment for 3 levels. This composite is fabricated using 53 µm sized SiC particles reinforced into aluminium matrix material via stir casting process. The surface roughness is considered as experimental result and it is predicted using fuzzy logic. The results specify that the predicted surface roughness values and experimental surface roughness values are close to each other and surface roughness can be predicated efficiently by fuzzy logic modeling technique.

Keywords: Al7075/10% - SiCp Metal Matrix Composite, Drilling, Surface Roughness (Ra), Fuzzy Logic Modeling, Stirr Casting