White Rose University Consortium logo
University of Leeds logo University of Sheffield logo York University logo

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

Witharana, S, Chen, H, Ding, Y, Jin, Y and Kim, C (2009) Predicting thermal conductivity of liquid suspensions of nanoparticles (nanofluids) based on Rheology. Particuology, 7 (2). 151 - 157 . ISSN 1674-2001

Full text available as:

Abstract

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 the modified Hamilton–Crosser equation successfully predicted the effective thermal conductivity of the nanofluids.

Item Type: Article
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Process, Environmental and Materials Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 14 Sep 2011 12:11
Last Modified: 08 Feb 2013 17:33
Published Version: http://dx.doi.org/10.1016/j.partic.2009.01.005
Status: Published
Publisher: Elsevier B.V.
Identification Number: 10.1016/j.partic.2009.01.005
URI: http://eprints.whiterose.ac.uk/id/eprint/43278

Actions (login required)

View Item View Item