A Complex Network Based Simulation Approach to Predict the Electrical Properties of Nanocomposites
Abstract:It is well known that the addition of conducting fillers to a polymeric matrix can result in a significant improvement of its electrical and mechanical properties. Although the electrical properties of heterogeneous composites have been widely investigated in the past years, the electrical properties of composites containing carbon nanotubes are not sufficiently understood. In order to explore the potential application of complex network methods to nanocomposites, we developed a computer model that employs the Graph theory to represent and study such physical systems. From the virtual models of nanotube networks dispersed in dielectric polymeric matrices and by applying the boundary element method to numerically solve an electrostatic problem, we build a weighted network. The developed model can easily be adapted to the study of a variety of issues related to electrical behavior of filled nanocomposites. In this paper we present results from simulations aimed at studying the effect of orientation of individual nanotubes and distance between pairs of nanotubes on the capacitance. The study was also extended to the effect of the alignment of the entire nanotube network on the dielectric constant and the dielectric strength of the nanocomposite.
Document Type: Research Article
Publication date: April 1, 2010
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- Journal for Nanoscience and Nanotechnology (JNN) is an international and multidisciplinary peer-reviewed journal with a wide-ranging coverage, consolidating research activities in all areas of nanoscience and nanotechnology into a single and unique reference source. JNN is the first cross-disciplinary journal to publish original full research articles, rapid communications of important new scientific and technological findings, timely state-of-the-art reviews with author's photo and short biography, and current research news encompassing the fundamental and applied research in all disciplines of science, engineering and medicine.
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