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Computational modeling of elastic properties of carbon nanotube/polymer composites with interphase regions. Part I: Micro-structural characterization and geometric modeling AITranslate

King Abdullah University of Science and Technology (KAUST);King Abdullah University of Science and Technology (KAUST);King Abdullah University of Science and Technology (KAUST)
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Publisher: Elsevier
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Abstract AITranslate

Highlights • Automatic generation for geometrical modeling of complex nanostructures involving thick nanotubes/polymer interphases. • Systematic generation strategy for CNT networks with key systematics features (clusters, interphases). • Systematic study of the effective interphase content as function of network characteristics and interphase geometrical properties. A computational strategy to predict the elastic properties of carbon nanotube-reinforced polymer composites is proposed in this two-part paper. In Part I, the micro-structural characteristics of these nano-composites are discerned. These characteristics include networks/agglomerations of carbon nanotubes and thick polymer interphase regions between the nanotubes and the surrounding matrix. An algorithm is presented to construct three-dimensional geometric models with large amounts of randomly dispersed and aggregated nanotubes. The effects of the distribution of the nanotubes and the thickness of the interphase regions on the concentration of the interphase regions are demonstrated with numerical results.

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DOI:https://doi.org/10.1016/j.commatsci.2013.07.036

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Citation Information:

Highlights • Automatic generation for geometrical modeling of complex nanostructures involving thick nanotubes/polymer interphases. • Systematic generation strategy for CNT networks with key systematics features (clusters, interphases). • Systematic study of the effective interphase content as function of network characteristics and interphase geometrical properties. A computational strategy to predict the elastic properties of carbon nanotube-reinforced polymer composites is proposed in this two-part paper. In Part I, the micro-structural characteristics of these nano-composites are discerned. These characteristics include networks/agglomerations of carbon nanotubes and thick polymer interphase regions between the nanotubes and the surrounding matrix. An algorithm is presented to construct three-dimensional geometric models with large amounts of randomly dispersed and aggregated nanotubes. The effects of the distribution of the nanotubes and the thickness of the interphase regions on the concentration of the interphase regions are demonstrated with numerical results.

quote

GB/T 7714-2015 [1] Fei Han, Yan Azdoud, Gilles Lubineau. Computational Materials Science, 2014(81). DOI:10.1016/j.commatsci.2013.07.036.
MLA [1] Fei Han, et al., Computational Materials Science, no. 81, 2014, https://doi.org/10.1016/j.commatsci.2013.07.036.
APA [1] Fei Han, Yan Azdoud, & Gilles Lubineau. (2014). Computational Materials Science(81). https://doi.org/10.1016/j.commatsci.2013.07.036
IEEE [1] Fei Han, Yan Azdoud, and Gilles Lubineau, Computational Materials Science, no. 81, 2014, doi: 10.1016/j.commatsci.2013.07.036.