Microstructural Design of Graphene Nanocomposites for Improved Electrical Conductivity

IF 1.5 4区 材料科学 Q3 ENGINEERING, MECHANICAL
A. Gbaguidi, S. Namilae, Daewon Kim
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引用次数: 0

Abstract

The electrical conductivity and percolation onset of graphene-based nanocomposites are studied by varying both planar and transversal aspect ratios of graphene nanoplatelets (GNP) fillers using a three-dimensional stochastic percolation-based model. The graphene nanoplatelets are modeled as elliptical fillers to enable planar aspect ratio variations. We find that decreasing the graphite’s thickness results in an exponential performance improvement of the nanocomposites, in contrast to a linear improvement obtained when the planar aspect ratio is increased, for the same filler volume. Furthermore, we show that hybrid nanocomposites fabricated with partial replacement of GNP by carbon nanotube (CNT) may improve the electrical performance of the GNP monofiller composites. Improvement or deterioration of the electrical properties is mainly based on the morphology and content of the fillers mixed in the hybrids. Nonetheless, using a minimal amount of CNT for substitution always leads to the highest improvement in conductivity in the hybrids, while additional CNTs only lead to smaller improvement at best or even deterioration. The results are validated against experimental works and offer useful insights for the fabrication of highly conductive nanocomposites.
提高电导率的石墨烯纳米复合材料的微观结构设计
采用基于三维随机渗透的模型,通过改变石墨烯纳米片(GNP)填料的平面和横向长宽比,研究了石墨烯基纳米复合材料的电导率和渗透开始。石墨烯纳米片被建模为椭圆填料,以实现平面宽高比变化。我们发现,在相同的填料体积下,减少石墨的厚度会导致纳米复合材料的性能呈指数级提高,而当平面纵横比增加时则会得到线性提高。此外,我们发现用碳纳米管(CNT)部分替代GNP制备的杂化纳米复合材料可以改善GNP单填料复合材料的电性能。电性能的改善或恶化主要取决于混合材料中填料的形态和含量。尽管如此,使用最少量的碳纳米管替代总是导致杂化材料电导率的最大改善,而额外的碳纳米管充其量只能带来较小的改善,甚至导致劣化。研究结果与实验结果相比较,为高导电性纳米复合材料的制备提供了有益的启示。
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来源期刊
CiteScore
3.00
自引率
0.00%
发文量
30
审稿时长
4.5 months
期刊介绍: Multiscale characterization, modeling, and experiments; High-temperature creep, fatigue, and fracture; Elastic-plastic behavior; Environmental effects on material response, constitutive relations, materials processing, and microstructure mechanical property relationships
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