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Modeling of Machining Parameters to Predict Surface Roughness in Machining Al/SiC Particulate Composites by Carbide Insert

Modeling of Machining Parameters to Predict Surface Roughness in Machining Al/SiC Particulate... Aluminium silicon carbide reinforced metal matrix composite (Al/SiC‐MMC) materials are rapidly replacing conventional materials in various automotive, aerospace and other industries. Accordingly, the need for accurate machining of composites has increased enormously. The present work analyzes the machining of Al/SiC composites for surface roughness. An empirical model has been developed to correlate the machining parameters and their interactions with surface roughness. Response surface regression and analysis of variance are used for making the model. The developed model can be effectively used to predict the surface roughness in machining Al/SiC‐MMC composites. The influences of different parameters in machining Al/SiC particulate composites have been analyzed through contour graphs and 3D plots. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multidiscipline Modeling in Materials and Structures Emerald Publishing

Modeling of Machining Parameters to Predict Surface Roughness in Machining Al/SiC Particulate Composites by Carbide Insert

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References (9)

Publisher
Emerald Publishing
Copyright
Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
ISSN
1573-6105
DOI
10.1163/157361108785963073
Publisher site
See Article on Publisher Site

Abstract

Aluminium silicon carbide reinforced metal matrix composite (Al/SiC‐MMC) materials are rapidly replacing conventional materials in various automotive, aerospace and other industries. Accordingly, the need for accurate machining of composites has increased enormously. The present work analyzes the machining of Al/SiC composites for surface roughness. An empirical model has been developed to correlate the machining parameters and their interactions with surface roughness. Response surface regression and analysis of variance are used for making the model. The developed model can be effectively used to predict the surface roughness in machining Al/SiC‐MMC composites. The influences of different parameters in machining Al/SiC particulate composites have been analyzed through contour graphs and 3D plots.

Journal

Multidiscipline Modeling in Materials and StructuresEmerald Publishing

Published: Jan 1, 2008

Keywords: Empirical model; Turning; Al/SiC particulate composites; Surface roughness

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