Artificial neural network investigation of hardness and fracture toughness of hydroxylapatite

Date

2011-05-01

Author

Evis, Zafer

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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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Citation Formats

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.