纳米流体
热导率
粘度
乙二醇
材料科学
热力学
传热
纳米颗粒
基础(拓扑)
相对粘度
体积热力学
化学工程
复合材料
纳米技术
数学
物理
数学分析
工程类
作者
Dorota Sawicka,Janusz T. Cieśliński,Sławomir Smoleń
出处
期刊:Nanomaterials
[Multidisciplinary Digital Publishing Institute]
日期:2020-07-29
卷期号:10 (8): 1487-1487
被引量:21
摘要
Because of their superb thermal conductivity, nanofluids are seen as new generation of cooling mediums in many engineering applications. It is well established that even a small amount of nanoparticles mixed with a base fluid may result in distinct thermal conductivity enhancement. On the other hand, addition of nanoparticles to the base fluid results in its substantial viscosity increase. Therefore, it is very difficult to evaluate the relative importance of viscosity and thermal conductivity of the nanofluid on convective heat transfer performance. In order to estimate such resultant impact properly, it is necessary to develop reliable correlation equations for predictions of these two thermophysical properties of nanofluids. In this paper, the thermal conductivity and dynamic viscosity of five fluids, i.e., pure water, ethylene glycol (EG) and three mixtures of water and EG with volume ratio of 40:60, 50:50 and 60:40 have been experimentally determined. The aforementioned fluids served as base fluids in nanofluids with Al2O3 nanoparticles at the concentration of 0.01%, 0.1% and 1% by weight. A set of 20 correlations for prediction of thermal conductivity and dynamic viscosity of base fluids and corresponding nanofluids has been developed. Moreover, present results have been confronted with literature data and predictions made by use of carefully selected recognized literature correlations.
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