Predicting thermal conductivity of liquid suspensions of nanoparticles (nanofluids) based on rheology--颗粒学报PARTICUOLOGY

Chen, H., Witharana, S., Jin, Y., Kim, C., & Ding, Y. (2009). Predicting thermal conductivity of liquid suspensions of nanoparticles (nanofluids) based on rheology. Particuology, 7(2), 151–157. https://doi.org/10.1016/j.partic.2009.01.005

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

Haisheng Chen ^{a b}, Sanjeeva Witharana ^a, Yi Jin ^{a c}, Chongyoup Kim ^d, Yulong Ding ^a *

a Institute of Particle Science and Engineering, University of Leeds, Leeds LS2 9JT, UK
b Institute of Engineering Thermophysics, Chinese Academy of Science, Beijing 100190, China
c Institute of Environmental Engineering, University of Science and Technology, Beijing 100083, China
d Department of Chemical and Biological Engineering, Korea University, Seoul, Republic of Korea

10.1016/j.partic.2009.01.005

Volume 7, Issue 2, April 2009, Pages 151-157

Received 11 September 2008, Accepted 7 November 2008, Available online 23 February 2009.

E-mail: y.ding@leeds.ac.uk

Highlights

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.

Graphical abstract

Keywords

Nanofluids; Thermal conductivity; Rheology; Viscosity; Microstructure

文章导读