Modeling of surface roughness in precision machining of metal matrix composites using ANN
DSpace at IIT Bombay
View Archive InfoField | Value | |
Title |
Modeling of surface roughness in precision machining of metal matrix composites using ANN
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Creator |
BASHEER, AC
DABADE, UA JOSHI, SS BHANUPRASAD, VV GADRE, VM |
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Subject |
metal matrix composites design of experiments
surface roughness artificial neural networks |
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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
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Publisher |
ELSEVIER SCIENCE SA
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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 |
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Type |
Article
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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 |
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Language |
en
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