Prediction method for thermal conductivity of nanorefrigerant based on particles aggregation theory

被引：0
|
作者：
Ding, Guo-Liang [1 ]
Jiang, Wei-Ting [1 ]
Wang, Kai-Jian [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Inst Refrigerat & Cryogen, Shanghai 200030, Peoples R China
来源：
PROCEEDINGS OF THE 3RD ASIAN CONFERENCE ON REFRIGERATION AND AIR-CONDITIONING VOLS I AND II | 2006年
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D O I：
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中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
Nanoparticles in nanofluids are in the form of nanoparticle clusters caused by aggregation. In order to calculate the thermal conductivity of the nanofluids, the three-dimensional space structure of the nanoparticle cluster in the host fluid is simulated, and then the thermal conductivity of the cluster is predicted with the resistance network method. The thermal conductivity of the nanofluid is calculated based on the simulated thermal conductivity of nanoparticle clusters, the volume ratio of nanoparticle clusters to the nanofluid as well as the liquid molecule adsorption layer of the nanoparticle. The simulation method is validated by experimental data and is used to predict properties of copper-R22 nanorefrigerants.
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页码：683 / +
页数：2
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