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An effective thermal conductivity model of nanofluids with a cubical arrangement of spherical particles

机译:球形颗粒立方排列的纳米流体的有效导热模型

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摘要

The theoretical investigation of the effective thermal conductivities of nanofluids, a new class of solid-liquid Suspensions, is important in both predicting and designing nanofluids with effective thermal conductivities. We have developed a new thermal conductivity model for nanofluids that is based on the assumption that monosized spherical particles are uniformly dispersed in the liquid and are located at the vertexes of a simple cubic lattice, with each particle surrounded by a liquid layer having a thermal conductivity that differs from that of the bulk liquid. This model nanofluid with a cubical arrangement of nanoparticles gives a more practical upper limit of thermal conduction than a model nanofluid with a parallel arrangement of nanoparticles. The new model unexpectedly shows a nonlinear relationship of thermal conductivity with particle concentration, whereas the conductivity-concentration curve changes from convex upward to concave upward with increasing volume concentration. The effects of particle and layer parameters on the effective thermal conductivities are also analyzed. A comparison of predicted thermal conductivity values and experimental data shows that the predicted values are much higher than the experimental data, a finding that indicates that there is a potential to further improve the effective thermal conductivities of nanofluids with more uniformly dispersed particles.
机译:纳米流体的有效导热率的理论研究是一类新型的固液悬浮液,在预测和设计具有有效导热率的纳米流体方面均具有重要意义。我们已经开发出一种新的纳米流体导热模型,该模型基于以下假设:单一尺寸的球形颗粒均匀地分散在液体中,并且位于简单立方晶格的顶点,每个颗粒都被具有导热性的液体层包围与散装液体不同。与具有平行排列的纳米颗粒的模型纳米流体相比,具有纳米颗粒的立方排列的模型纳米流体给出了更实用的热传导上限。新模型出乎意料地显示出热导率与颗粒浓度的非线性关系,而电导率-浓度曲线随体积浓度的增加而从凸向上变化为向上凹。还分析了颗粒和层参数对有效热导率的影响。预测的热导率值与实验数据的比较表明,预测值比实验数据高得多,这一发现表明,有可能进一步提高具有更均匀分散的颗粒的纳米流体的有效热导率。

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