Artificial neural network investigation of hardness and fracture toughness of hydroxylapatite


EVİS Z. , Arcaklioglu E.

CERAMICS INTERNATIONAL, vol.37, no.4, pp.1147-1152, 2011 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 37 Issue: 4
  • Publication Date: 2011
  • Doi Number: 10.1016/j.ceramint.2010.10.037
  • Title of Journal : CERAMICS INTERNATIONAL
  • Page Numbers: pp.1147-1152
  • Keywords: Hardness, Hydroxylapatite, Fracture toughness, Artificial neural network, MECHANICAL-PROPERTIES, NANOCRYSTALLINE HYDROXYAPATITE, MICROSTRUCTURE, DENSIFICATION, PREDICTION, GLASS

Abstract

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.