Advances in Materials

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Three-dimensional Modeling of Percolation Behavior of Electrical Conductivity in Segregated Network Polymer Nanocomposites Using Monte Carlo Method

Received: 19 May 2016    Accepted:     Published: 19 May 2016
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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.

DOI 10.11648/j.am.20160501.11
Published in Advances in Materials (Volume 5, Issue 1, February 2016)
Page(s) 1-8
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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), 2024. Published by Science Publishing Group

Keywords

Monte Carlo Simulation, Electrical Conductivity, Nanotubes, Polymer Nanocomposites

References
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Author Information
  • Rexa Electraulic Actuation, Inc. West Bridgewater, MA, USA

  • School of Materials Science and Engineering, East China University of Science and Technology, Shanghai, China

  • Department of Mechanical Engineering, Texas A&M University, College Station, Texas, USA

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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

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    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

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    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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  • @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://download.sciencepg.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}
    }
    

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    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
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    T2  - Advances in Materials
    JF  - Advances in Materials
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    EP  - 8
    PB  - Science Publishing Group
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    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
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    ER  - 

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