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Percolation Onset and Conductivity of Nanocomposites Assuming an Incomplete Dispersion of Graphene Nanosheets in a Polymer Matrix Publisher Pubmed



Zare Y1 ; Munir MT2 ; Rhee KY3
Authors
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Authors Affiliations
  1. 1. Biomaterials and Tissue Engineering Research Group, Department of Interdisciplinary Technologies, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran
  2. 2. College of Engineering and Technology, American University of the Middle East, Egaila, 54200, Kuwait
  3. 3. Department of Mechanical Engineering (BK21 four), College of Engineering, Kyung Hee University, Yongin, South Korea

Source: Physical Chemistry Chemical Physics Published:2023


Abstract

Herein, stacks of graphene nanosheets resulting from an incomplete dispersion of nanoparticles in polymer graphene nanocomposites are considered. The volume fraction, aspect ratio and conduction of stacks are expressed by the distance between nanosheets (s), thickness of an individual nanosheet (t), nanosheet diameter (D), thickness of the interphase zone (ti) and tunneling length (d). Moreover, the percolation onset, actual filler quantity and portion of networked nanosheets are stated by the stacks of nanosheets, interphase depth and tunneling length. Finally, an advanced model for the conductivity of a graphene-based system is presented using the mentioned terms. The influence of all properties of stacks, tunneling and interphase areas on the percolation onset, portion of percolated nanosheets and conductivity are examined. Furthermore, the tested values of conductivity are applied to confirm the predictability of the model. The larger quantity of thin sheets included in stacks produces a higher conductivity for samples. In addition, a thicker interphase and smaller tunnels can result in higher conductivity. The calculations of conductivity match the tested data at all filler amounts. © 2023 The Royal Society of Chemistry.
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