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Journal cover: Multidiscipline Modeling in Materials and Structures

Multidiscipline Modeling in Materials and Structures

ISSN: 1573-6105

Online from: 2005

Subject Area: Mechanical & Materials Engineering

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


Document Information:
Title:Modeling of Machining Parameters to Predict Surface Roughness in Machining Al/SiC Particulate Composites by Carbide Insert
Author(s):K. Palanikumar, (Department of Mechanical & Production Engineering,Sathyabama University,Chennai-119, India), R. Karthikeyan, (Department of Manufacturing Engineering,Annamalai University, Chidambaram-608001, India)
Citation:K. Palanikumar, R. Karthikeyan, (2008) "Modeling of Machining Parameters to Predict Surface Roughness in Machining Al/SiC Particulate Composites by Carbide Insert", Multidiscipline Modeling in Materials and Structures, Vol. 4 Iss: 4, pp.345 - 358
Keywords:Al/SiC particulate composites, Empirical model, Surface roughness, Turning
Article type:General review
DOI:10.1163/157361108785963073 (Permanent URL)
Publisher:Emerald Group Publishing Limited
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.



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