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Effect of volume-fraction dependent agglomeration of nanoparticles on the thermal conductivity of nanocomposites: Applications to epoxy resins, filled by SiO2, AlN and MgO nanoparticles

机译:纳米粒子的体积分数依赖性团聚对纳米复合材料热导率的影响:SiO2,AlN和MgO纳米粒子填充的环氧树脂的应用

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A thermodynamic model for transient heat conduction in ceramic-polymer nanocomposites is proposed. The model takes into account particle's size, particle's volume fraction, and interface characteristics with emphasis on the effect of agglomeration of particles on the effective thermal conductivity of the nanocomposite. The originality of the present work is its basement on extended irreversible thermodynamics, combining nano- and continuum-scales without invoking molecular dynamics. The model is compared to experimental data using the examples of SiO2, AlN and MgO nanoparticles embedded in epoxy resin. The analysis is limited to spherical nanoparticles. The dependence of the degree of agglomeration with respect of the volume fraction of particles is also discussed and a power -law relation is established through a kinetic mechanism and experiments performed in our laboratory. This relation is used in our theoretical model, resulting into a good agreement with experiments. It is shown that the effective thermal conductivity may either increase or decrease with the degree of agglomeration. (C) 2016 Elsevier Ltd. All rights reserved.
机译:提出了陶瓷-聚合物纳米复合材料瞬态热传导的热力学模型。该模型考虑了粒子的大小,粒子的体积分数和界面特性,重点是粒子的团聚对纳米复合材料有效导热率的影响。本研究的原创性在于它基于不可逆热力学的扩展,结合了纳米和连续尺度,而无需调用分子动力学。使用嵌入在环氧树脂中的SiO2,AlN和MgO纳米粒子的示例,将该模型与实验数据进行了比较。该分析仅限于球形纳米颗粒。还讨论了附聚度对颗粒体积分数的依赖性,并通过动力学机理和在我们实验室中进行的实验建立了幂律关系。在我们的理论模型中使用了这种关系,从而与实验很好地吻合。结果表明,有效热导率可以随着附聚程度而增加或降低。 (C)2016 Elsevier Ltd.保留所有权利。

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