Predicting thermal conductivity of liquid suspensions of nanoparticles (nanofluids) based on rheology

被引:213
作者
Chen, Haisheng [1 ,2 ]
Witharana, Sanjeeva [1 ]
Jin, Yi [1 ,3 ]
Kim, Chongyoup [4 ]
Ding, Yulong [1 ]
机构
[1] Univ Leeds, Inst Particle Sci & Engn, Leeds LS2 9JT, W Yorkshire, England
[2] Chinese Acad Sci, Inst Engn Thermophys, Beijing 100190, Peoples R China
[3] Univ Sci & Technol Beijing, Inst Environm Engn, Beijing 100083, Peoples R China
[4] Korea Univ, Dept Chem & Biol Engn, Seoul, South Korea
基金
英国工程与自然科学研究理事会;
关键词
Nanofluids; Thermal conductivity; Rheology; Viscosity; Microstructure; HEAT-TRANSFER CHARACTERISTICS; AQUEOUS SUSPENSIONS; BROWNIAN-MOTION; FLOW BEHAVIOR; MODEL;
D O I
10.1016/j.partic.2009.01.005
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
A methodology is proposed for predicting the effective thermal conductivity of dilute suspensions of nanoparticles (nanofluids) based on rheology. The methodology uses the rheological data to infer microstructures of nanoparticles quantitatively. which is then incorporated into the conventional Hamilton-Crosser equation to predict the effective thermal conductivity of nanofluids. The methodology is experimentally validated using four types of nanofluids made of titania nanoparticles and titanate nanotubes dispersed in water and ethylene glycol. And (he modified Hamilton-Crosser equation Successfully predicted the effective thermal conductivity of the nanofluids. (C) 2009 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:151 / 157
页数:7
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