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

✍ Scribed by Abeesh C. Basheer; Uday A. Dabade; Suhas S. Joshi; V.V. Bhanuprasad; V.M. Gadre

Publisher: Elsevier Science
Year: 2008
Tongue: English
Weight: 655 KB
Volume: 197
Category: Article
ISSN: 0924-0136
DOI: 10.1016/j.jmatprotec.2007.04.121

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✦ Synopsis

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.

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