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A NUMERICAL STUDY ON THE THERMAL CONDUCTIVITY OF HYBRID-FILLER-NANOPARTICLE COMPOSITE MATERIALS

机译:混合填料-纳米微粒复合材料导热系数的数值研究

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Augmenting the thermal conductivity of polymer materials is actively being attempted by adding one or more fillers with higher thermal conductivity into matrix materials. In this study, the effective thermal conductivity of composite materials was investigated numerically under the effects of the thermal conductivity ratio between two particle fillers and the matrix material, and the particle volume fractions. The results indicate that the effective thermal conductivity of composites containing hybrid filler is higher than that of single filler. The effective thermal conductivity increases with the increase of thermal conductivity ratio between two fillers in general when this ratio is less than unity, and the maximum effective thermal conductivity approaches when this ratio is less than and close to unity. However, this trend is changed when this ratio is greater than unity. Based on the results, a generalized correlation is proposed as a function of four non-dimensional parameters. The results obtained in this study can be widely utilized for predicting the thermal conductivity of hybrid-filler-nanoparticle composite materials.
机译:通过向基质材料中添加一种或多种具有较高导热率的填料,积极地尝试提高聚合物材料的导热率。在这项研究中,在两种颗粒填料和基体材料之间的热导比和颗粒体积分数的影响下,对复合材料的有效热导率进行了数值研究。结果表明,含杂化填料的复合材料的有效导热系数高于单一填料。通常,当该比值小于1时,有效导热率随着两种填料之间的热导率比的增加而增加,而当该比值小于或接近1时,最大有效热导率接近。但是,当此比率大于1时,此趋势将改变。根据结果​​,提出了广义相关性,作为四个无量纲参数的函数。在这项研究中获得的结果可以广泛地用于预测混合填料纳米颗粒复合材料的热导率。

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