利用蒙特卡洛模型揭示带有夹层的石墨烯纳米平板复合材料的导热性能

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, APPLIED Journal of Physics D: Applied Physics Pub Date : 2024-09-11 DOI:10.1088/1361-6463/ad7473
Chao Fang, Xiaogang Zheng, Jue Liu, Han Du and George J Weng
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引用次数: 0

摘要

本文采用蒙特卡罗方法研究石墨烯纳米片(GNP)复合材料的导热性。首先,在代表性体积元素中随机设置大量 GNP。然后,根据矩阵中满足拉普拉斯方程的温度,在每个 GNP 表面设置一个涂层表面(CS),并通过球上行走(WoS)方法获得 CS 和 GNP 的温度。最后,继续使用 WoS 方法计算复合材料的热通量密度,进一步得到复合材料的热导率。我们在随机漫步中加入了夹层的影响。我们在 WoS 过程中加入了夹层的影响,由于夹层的导热系数极低,因此走到夹层表面的点到达 GNP 的概率非常低。计算结果与实验数据一致。该模型还研究了 GNP 的尺寸、取向和聚集对复合材料热导率的影响。
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Uncovering the thermal conductivity of graphene nanoplatelet composites with interlayers using a Monte Carlo model
This paper uses a Monte Carlo 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. Then, based on a temperature satisfying the Laplace equation in a matrix, a coated surface (CS) is set up on each GNP surface, and the temperature of the CS and GNP can be obtained by the walk-on-spheres (WoS) method. Finally, the WoS method continues to be applied to calculate the heat flux density of the composite materials, further obtaining the thermal conductivity of the composites. We add the influence of interlayers in random walks. We incorporate the influence of interlayers in the WoS process, and the points that walk onto the interlayer surface have a very low probability of reaching the GNP due to the extremely low thermal conductivity of the interlayer. The calculated results are consistent with the experimental data. The model also studies the effects of the size, orientation, and aggregation of GNPs on the thermal conductivity of composite materials.
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来源期刊
Journal of Physics D: Applied Physics
Journal of Physics D: Applied Physics 物理-物理:应用
CiteScore
6.80
自引率
8.80%
发文量
835
审稿时长
2.1 months
期刊介绍: This journal is concerned with all aspects of applied physics research, from biophysics, magnetism, plasmas and semiconductors to the structure and properties of matter.
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