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Experimental Analysis and Optimization of Hot Machining Process Parameter Process by Employing Taguchi Method

Rungta International Journal of Mechanical and Automobile Engineering

Volume 2 Issue 1 & 2

Published: 2017
Author(s) Name: Amit Nagle, Manoj Sharma | Author(s) Affiliation: Dept. of Mech. Engg., Rungta College of Engineering & Technology, Bhilai, Chhattisgarh, India.
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Abstract

Al/SiCp Metal Matrix Composites (MMCs) are the new class of materials and are rapidly replacing conventional materials in various applications industrial and aerospace applications. These materials are generally regarded as extremely difficult to machine, because of the abrasive characteristics of the reinforced particulates. It has poor machinability such as excessive tool wear and fracturing of the reinforcement particles on machined surface. In our work we presented the application of Taguchi method to figure out which process parameters like Cutting Speed (m/min), Feed (mm/rev), Depth of Cut (mm) will produce much impact on the Surface Roughness. Hence, an attempt is made to improve the machinability of Al/SiCp MMCs and surface quality by hot machining. Optimal values of process parameter with regard to desired performance characteristic are received by Taguchi design of experiment. Multiple regression modelling was performed to predict the surface roughness by using machining parameter. Comparison between experimental values and predict values is carried out.

Keywords: Cutting speed, Optimization, Surface roughness, Taguchi technique.

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