Abstract
Abstract This paper uses Monte Carlo (MC) method to study the thermal conductivity of graphene nanoplatelet (GNP) composites. Firstly, a large number of GNPs are randomly set in a representative volume element (RVE). Then, based on the temperature field satisfying the Laplace equation in the matrix, a coated surface (CS) is set up on each GNP surface, and the temperature of CS and GNP are obtained by a Walk-on-Spheres (WoS) method. Finally, the WoS method continues to be applied to calculate the heat flux density of composite materials, further obtaining the thermal conductivity of the composite. We have incorporated the influence of interlayers in the WoS process and pointed out that walk onto the interlayer surface have a very low probability of getting to GNP due to the extremely low thermal conductivity of the interlayer. The calculated results are consistent with the experimental data. The model also studied the effects of size, orientation, and aggregation of GNP on the thermal conductivity of the composite.
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