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Modeling of surface roughness in precision machining of metal matrix composites using ANN

DSpace at IIT Bombay

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Title Modeling of surface roughness in precision machining of metal matrix composites using ANN
 
Creator BASHEER, AC
DABADE, UA
JOSHI, SS
BHANUPRASAD, VV
GADRE, VM
 
Subject metal matrix composites design of experiments
surface roughness
artificial neural networks
 
Description Characteristics of machined surfaces are known to influence the product performance significantly since they are directly linked to the ability of the material to withstand stresses, temperature, friction and corrosion. This paper presents an experimental work on the analysis of machined surface quality on Al/SiCp composites leading to an artificial neural network-based (ANN) model to predict the surface roughness. The predicted roughness of machined surfaces based on the ANN model was found to be in very good agreement with the unexposed experimental data set. (c) 2007
 
Publisher ELSEVIER SCIENCE SA
 
Date 2011-07-28T13:21:05Z
2011-12-26T12:59:28Z
2011-12-27T05:51:38Z
2011-07-28T13:21:05Z
2011-12-26T12:59:28Z
2011-12-27T05:51:38Z
2008
 
Type Article
 
Identifier JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 197(1-3), 439-444
0924-0136
http://dx.doi.org/10.1016/j.jmatprotec.2007.04.121
http://dspace.library.iitb.ac.in/xmlui/handle/10054/7411
http://hdl.handle.net/10054/7411
 
Language en