期刊
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
卷 197, 期 1-3, 页码 439-444出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.jmatprotec.2007.04.121
关键词
metal matrix composites design of experiments; surface roughness; artificial neural networks
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 Elsevier B.V. All rights reserved.
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