Fractal analysis of the effect of particle aggregation distribution on thermal conductivity of nanofluids

被引：42

作者：

Wei, Wei ^{[1
]}

Cai, Jianchao ^{[1
]}

Hu, Xiangyun ^{[1
]}

Han, Qi ^{[1
]}

Liu, Shuang ^{[1
]}

Zhou, Yingfang ^{[2
]}

机构：

[1] China Univ Geosci, Inst Geophys & Geomat, Hubei Subsurface Multiscale Imaging Key Lab, Wuhan 430074, Peoples R China

[2] Univ Aberdeen, Kings Coll, Sch Engn, FN 264, Aberdeen AB24 3UE, Scotland

来源：

PHYSICS LETTERS A | 2016年 / 380卷 / 37期

基金：

中国国家自然科学基金;

关键词：

Thermal conductivity; Fractal; Aggregation distribution; Aggregation shape; HEAT-TRANSFER CHARACTERISTICS; POROUS-MEDIA; UNITS MODEL; FLUID-FLOW; ENHANCEMENT; DEPENDENCE; SIZE; LIQUID; NANOPARTICLES; PERMEABILITY;

D O I：

10.1016/j.physleta.2016.07.005

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

A theoretical effective thermal conductivity model for nanofluids is derived based on fractal distribution characteristics of nanoparticle aggregation. Considering two different mechanisms of heat conduction including particle aggregation and convention, the model is expressed as a function of the fractal dimension and concentration. In the model, the change of fractal dimension is related to the variation of aggregation shape. The theoretical computations of the developed model provide a good agreement with the experimental results, which may serve as an effective approach for quantitatively estimating the effective thermal conductivity of nanofluids. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：2953 / 2956

页数：4

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