A hybrid averaging approach to predict overall properties of nanocomposites

Jafari, A, Afaghi Khatibi, A and Mashhadi, M 2011, 'A hybrid averaging approach to predict overall properties of nanocomposites', Journal of Reinforced Plastics and Composites, vol. 30, no. 10, pp. 845-855.

Document type: Journal Article
Collection: Journal Articles

Title A hybrid averaging approach to predict overall properties of nanocomposites
Author(s) Jafari, A
Afaghi Khatibi, A
Mashhadi, M
Year 2011
Journal name Journal of Reinforced Plastics and Composites
Volume number 30
Issue number 10
Start page 845
End page 855
Total pages 11
Publisher Sage Publications
Abstract A new method is proposed to consider the characterizations of the fillers in overall properties of heterogeneous media, and in particular, nanocomposites. According to this method, named 'Hybrid averaging,' the effective properties of a general nanocomposite containing several phases and orientations can be found using the results from a number of simple unidirectional two-phase nanocomposites. The results for the simple media might be obtained from any roots including analytical approaches, numerical simulations, and experimental analyses. In this article, M-T as the analytical and FE as the numerical approaches are combined with the proposed hybrid method. To perform FE analysis, RRVE with periodic boundary conditions is employed. In addition, the influential parameters consisting of RRVE size and mesh density on the numerical results are justified by satisfying certain criteria. Numerical investigations are then done for two case studies of nanocomposites in which boron nitride nanotubes, as fillers, are distributed using two different functions. Furthermore, comparisons are made between the results obtained from different approaches for these materials.
Subject Aerospace Materials
Energy Generation, Conversion and Storage Engineering
Keyword(s) nanocomposite
homogenization technique
multiscale modeling
effective properties
DOI - identifier 10.1177/0731684411410760
Copyright notice © Sage Publications
ISSN 0731-6844
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Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
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