Predicting thermal conductivity of liquid suspensions of nanoparticles (nanofluids) based on rheology
Predicting thermal conductivity of liquid suspensions of nanoparticles (nanofluids) based on rheology
复制标题
DOI：
10.1016/j.partic.2009.01.005
复制
发表时间：
2009-04-01
期刊：
影响因子：
3.5
通讯作者：
Ding, Yulong
中科院分区：
文献类型：
--
作者：
Chen, Haisheng;Witharana, Sanjeeva;Ding, Yulong
提出了一种基于流变学的纳米颗粒稀悬浮液（纳米流体）的有效导热系数的预测方法。该方法使用流变学数据来定量推断纳米颗粒的微观结构。然后将其结合到传统的Hamilton-Crosser方程中以预测纳米流体的有效热导率。该方法进行了实验验证，使用四种类型的纳米流体制成的二氧化钛纳米粒子和钛酸盐纳米管分散在水和乙二醇。修正的Hamilton-Crosser方程成功地预测了纳米流体的有效导热系数。(C)2009中国科学院颗粒学会、过程工程研究所。Elsevier B. V.出版，保留所有权利。
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.