Polymer nanocomposites filled with carbon nanotubes are observed to present an onset of the insulator-to-conductor transition through previous experimental studies. In this work, numerical simulations based on Monte Carlo method are performed to investigate the percolation threshold. The conductive fillers are modeled as a three dimensional (3D) network of identical units dispersed in the polymer matrix. However, the distribution of the fibers is not uniform due to the existence of the emulsion particles. The effects of the aspect ratio and fiber length on the critical volume fraction are studied. Linearization is made to the logarithm of simulation results. The calculated critical volume fraction is used in the power-law function to predict the electrical conductivity of the polymer composites. The results from the homogeneous model (without emulsion particles) and the model containing emulsion particles are compared. The effects of the size and the geometrical variation of the emulsion particles are evaluated.
| Published in | Advances in Materials (Volume 5, Issue 1) |
| DOI | 10.11648/j.am.20160501.11 |
| Page(s) | 1-8 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2016. Published by Science Publishing Group |
Monte Carlo Simulation, Electrical Conductivity, Nanotubes, Polymer Nanocomposites
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APA Style
Heng Gu, Jiaojiao Wang, Choongho Yu. (2016). Three-dimensional Modeling of Percolation Behavior of Electrical Conductivity in Segregated Network Polymer Nanocomposites Using Monte Carlo Method. Advances in Materials, 5(1), 1-8. https://doi.org/10.11648/j.am.20160501.11
ACS Style
Heng Gu; Jiaojiao Wang; Choongho Yu. Three-dimensional Modeling of Percolation Behavior of Electrical Conductivity in Segregated Network Polymer Nanocomposites Using Monte Carlo Method. Adv. Mater. 2016, 5(1), 1-8. doi: 10.11648/j.am.20160501.11
AMA Style
Heng Gu, Jiaojiao Wang, Choongho Yu. Three-dimensional Modeling of Percolation Behavior of Electrical Conductivity in Segregated Network Polymer Nanocomposites Using Monte Carlo Method. Adv Mater. 2016;5(1):1-8. doi: 10.11648/j.am.20160501.11
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Download@article{10.11648/j.am.20160501.11,
author = {Heng Gu and Jiaojiao Wang and Choongho Yu},
title = {Three-dimensional Modeling of Percolation Behavior of Electrical Conductivity in Segregated Network Polymer Nanocomposites Using Monte Carlo Method},
journal = {Advances in Materials},
volume = {5},
number = {1},
pages = {1-8},
doi = {10.11648/j.am.20160501.11},
url = {https://doi.org/10.11648/j.am.20160501.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.am.20160501.11},
abstract = {Polymer nanocomposites filled with carbon nanotubes are observed to present an onset of the insulator-to-conductor transition through previous experimental studies. In this work, numerical simulations based on Monte Carlo method are performed to investigate the percolation threshold. The conductive fillers are modeled as a three dimensional (3D) network of identical units dispersed in the polymer matrix. However, the distribution of the fibers is not uniform due to the existence of the emulsion particles. The effects of the aspect ratio and fiber length on the critical volume fraction are studied. Linearization is made to the logarithm of simulation results. The calculated critical volume fraction is used in the power-law function to predict the electrical conductivity of the polymer composites. The results from the homogeneous model (without emulsion particles) and the model containing emulsion particles are compared. The effects of the size and the geometrical variation of the emulsion particles are evaluated.},
year = {2016}
}
TY - JOUR T1 - Three-dimensional Modeling of Percolation Behavior of Electrical Conductivity in Segregated Network Polymer Nanocomposites Using Monte Carlo Method AU - Heng Gu AU - Jiaojiao Wang AU - Choongho Yu Y1 - 2016/05/19 PY - 2016 N1 - https://doi.org/10.11648/j.am.20160501.11 DO - 10.11648/j.am.20160501.11 T2 - Advances in Materials JF - Advances in Materials JO - Advances in Materials SP - 1 EP - 8 PB - Science Publishing Group SN - 2327-252X UR - https://doi.org/10.11648/j.am.20160501.11 AB - Polymer nanocomposites filled with carbon nanotubes are observed to present an onset of the insulator-to-conductor transition through previous experimental studies. In this work, numerical simulations based on Monte Carlo method are performed to investigate the percolation threshold. The conductive fillers are modeled as a three dimensional (3D) network of identical units dispersed in the polymer matrix. However, the distribution of the fibers is not uniform due to the existence of the emulsion particles. The effects of the aspect ratio and fiber length on the critical volume fraction are studied. Linearization is made to the logarithm of simulation results. The calculated critical volume fraction is used in the power-law function to predict the electrical conductivity of the polymer composites. The results from the homogeneous model (without emulsion particles) and the model containing emulsion particles are compared. The effects of the size and the geometrical variation of the emulsion particles are evaluated. VL - 5 IS - 1 ER -
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