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首页> 外文期刊>Journal of Applied Physics >Effective thermal conductivity of metal and non-metal particulate composites with interfacial thermal resistance at high volume fraction of nano to macro-sized spheres
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Effective thermal conductivity of metal and non-metal particulate composites with interfacial thermal resistance at high volume fraction of nano to macro-sized spheres

机译:金属和非金属微粒复合材料的有效导热系数,在大体积的纳米级至大尺寸球体中具有界面热阻

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摘要

In this study, we propose a theoretical model to compute the effective thermal conductivity of metal and dielectric spherical particle reinforced composites with interfacial thermal resistance. We consider a wide range of filler volume fraction with sizes ranging from nano- to macro-scale. The model, based on the differential effective medium theory, accounts for particle interactions through two sets of volume fraction corrections. The first correction accounts for a finite volume of composite and the second correction introduces a self-crowding factor that allows us to develop an accurate model for particle interaction even for high volume fraction of fillers. The model is examined to other published models, experiments, and numerical simulations for different types of composites. We observe an excellent agreement between the model and published datasets over a wide range of particle volume fractions and material properties of the composite constituents.
机译:在这项研究中,我们提出一个理论模型来计算具有界面热阻的金属和介电球形颗粒增强复合材料的有效导热系数。我们考虑了大范围的填料体积分数,尺寸范围从纳米到宏观。该模型基于微分有效介质理论,通过两组体积分数校正解决了粒子相互作用。第一次校正考虑了有限体积的复合材料,第二次校正引入了自拥挤因子,使我们能够为颗粒相互作用(即使是高体积分数的填料)建立精确的模型。针对其他类型的复合材料,将该模型与其他已发布的模型,实验和数值模拟进行了检验。我们观察到了模型和已发布的数据集之间在广泛的颗粒体积分数和复合成分的材料特性之间的极好的一致性。

著录项

  • 来源
    《Journal of Applied Physics 》 |2015年第5期| 055104.1-055104.8| 共8页
  • 作者单位

    School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta 30332-0340, USA;

    School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta 30332-0340, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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