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Artificial neural network investigation of hardness and fracture toughness of hydroxylapatite
Date
2011-05-01
Author
Evis, Zafer
Metadata
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Hardness and fracture toughness of hydroxylapatite were investigated by artificial neural network (ANN). Hardness and fracture toughness of hydroxylapatite were predicted by using its sintering temperature, sintering time, relative density, and grain size with ANN. It was found that prediction results of its hardness and fracture toughness closely matched with the experimental results. (C) 2010 Elsevier Ltd and Techna Group S.r.l. All rights reserved.
Subject Keywords
Process Chemistry and Technology
,
Materials Chemistry
,
Electronic, Optical and Magnetic Materials
,
Surfaces, Coatings and Films
,
Ceramics and Composites
URI
https://hdl.handle.net/11511/46766
Journal
CERAMICS INTERNATIONAL
DOI
https://doi.org/10.1016/j.ceramint.2010.10.037
Collections
Department of Engineering Sciences, Article
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Z. Evis, “Artificial neural network investigation of hardness and fracture toughness of hydroxylapatite,”
CERAMICS INTERNATIONAL
, pp. 1147–1152, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46766.