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Prediction of the solid effective thermal conductivity of fatty acid/carbon material composite phase change materials based on fractal theory

机译:基于分形理论的脂肪酸/碳材料复合相变材料固体有效导热系数的预测

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The thermal conductivity of a phase change material (PCM) is an important parameter that affects the heat transfer characteristics of PCM. In this study, the fractal theory is conducted to study the prediction model of the effective thermal conductivity of fatty acid/carbon material composite PCMs in the solid phase. Based on the Sierpinski carpet model of fractal geometry, a series of fractal units with different fractal dimensions are developed for the fatty acid/carbon material composite PCM5. Combined with a self-similar principle and thermal resistance network theory, a general solution for the dimensionless effective thermal conductivity of a typical Sierpinski carpet fractal unit is then derived. Further, dimensionless effective thermal conductivity prediction models of three typical structures of fatty acid/carbon material composite PCMs are obtained by comparing the experimental data. Finally, the thermal conductivity prediction model from this study demonstrated a better reliability than that of the commonly used QP prediction model and Maxwell-Eucken prediction model. This prediction model could be used to predict the effective thermal conductivity of composite PCM5. (C) 2019 Elsevier Ltd. All rights reserved.
机译:相变材料(PCM)的导热系数是影响PCM传热特性的重要参数。在本研究中,采用分形理论研究了固相中脂肪酸/碳材料复合PCM有效导热系数的预测模型。基于Sierpinski地毯的分形几何模型,针对脂肪酸/碳材料复合材料PCM5开发了一系列具有不同分形维数的分形单元。结合自相似原理和热阻网络理论,得出了典型的Sierpinski地毯分形单元的无量纲有效导热系数的一般解。此外,通过比较实验数据,获得了脂肪酸/碳材料复合材料PCM三种典型结构的无量纲有效导热系数预测模型。最后,本研究的热导率预测模型显示出比常用的QP预测模型和Maxwell-Eucken预测模型更好的可靠性。该预测模型可用于预测复合材料PCM5的有效导热系数。 (C)2019 Elsevier Ltd.保留所有权利。

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