Finite element analysis of the effect of boron nitride nanotubes in beta tricalcium phosphate and hydroxyapatite elastic modulus using the RVE model

Ali D., ŞEN S.

COMPOSITES PART B-ENGINEERING, cilt.90, ss.336-340, 2016 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 90
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1016/j.compositesb.2016.01.003
  • Dergi Adı: COMPOSITES PART B-ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.336-340
  • Anahtar Kelimeler: 3-Dimensional reinforcement, Elasticity, Mechanical properties, Finite element analysis (FEA), MECHANICAL-PROPERTIES, COMPRESSIVE BEHAVIOR, CARBON NANOTUBES, NANOCOMPOSITES, COMPOSITES, PREDICTION, STRENGTH, MICROSTRUCTURE, CERAMICS, TORSION
  • Atatürk Üniversitesi Adresli: Evet

Özet

A numerical study was carried out to determine the effect of the boron nitride nanotubes (BNNTs) as a reinforcement element for two different implant materials. Random distribution of the BNNTs was reconstructed using the random sequential adsorption algorithm in the beta tricalcium phosphate (beta-TCP) and hydroxyapatite (HA) matrixes. A representative volume element (RVE) with 4% wt. of the BNNTs in beta-TCP and HA matrixes was prepared. The predicted elastic moduli of the beta-TCP-BNNTs and HA-BNNTs composites showed 24.1% and 26.3% enhancement, respectively, compared with the pure beta-TCP and HA. To validate our finite element method (FEM) analysis results, we used a modified Halpin-Tsai (H-T) approach to calculate the elastic modulus of the models. The results showed that the FEM and H-T were in good agreement, with 1.5% and 2.7% deviations for the beta-TCP-BNNTs and HA-BNNTs composites, respectively. In contrast, a major gap was found between our theoretical approaches and experimental results for the HA-BNNTs composite that is available in the literature. This deviation was probably a consequence of the manufacturing method of the composite, which was not considered in the RVE model. (C) 2016 Elsevier Ltd. All rights reserved.