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  • Finite Element Evaluation of Effective Thermal Conductivity of Short Carbon Nano Tubes: A comparative Study

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    JavanbakhtPUB4753.pdf (870.8Kb)
    Author(s)
    Javanbakht, Z
    Hall, W
    Öchsner, A
    Griffith University Author(s)
    Hall, Wayne
    Javanbakht, Zia
    Oechsner, Andreas
    Year published
    2017
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    Abstract
    In the current study, two extreme cases are considered for the dispersion of carbon nanotubes(CNTs) in a polymeric matrix: randomly-oriented and randomly-aligned. The representative volume element (RVE) is used to represent the composite material consisting of epoxy resin matrix and CNT-reinforcement. The finite element method acts as the computational tool to conduct the simulations and investigate the effective parameters, i.e., the influence of the aspect ratio and the orientation, on the thermal conductivity of the matrix. A Fortran subroutine was used for both generation and analysis of the models by means of the MSC ...
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    In the current study, two extreme cases are considered for the dispersion of carbon nanotubes(CNTs) in a polymeric matrix: randomly-oriented and randomly-aligned. The representative volume element (RVE) is used to represent the composite material consisting of epoxy resin matrix and CNT-reinforcement. The finite element method acts as the computational tool to conduct the simulations and investigate the effective parameters, i.e., the influence of the aspect ratio and the orientation, on the thermal conductivity of the matrix. A Fortran subroutine was used for both generation and analysis of the models by means of the MSC Marc finite element package and a Python script was used for the sensitivity analysis. The results indicate that optimum performance of the CNTs in terms of thermal conductivity can be reached by orienting them along the temperature gradient whereas a random distribution improves the conductivity by a smaller magnitude.
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    Journal Title
    Defect and Diffusion Forum
    Volume
    372
    DOI
    https://doi.org/10.4028/www.scientific.net/DDF.372.208
    Copyright Statement
    © 2017 Trans Tech Publications. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
    Subject
    Composite and Hybrid Materials
    Condensed Matter Physics
    Physical Chemistry (incl. Structural)
    Materials Engineering
    Publication URI
    http://hdl.handle.net/10072/371604
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    • Journal articles

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