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

Haisheng Chen; Sanjeeva Witharana; Yi Jin; Chongyoup Kim; Yulong Ding

doi:10.1016/j.partic.2009.01.005

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

Haisheng Chen, Sanjeeva Witharana, Yi Jin, Chongyoup Kim, Yulong Ding

Department of Chemical and Biological Engineering

Research output: Contribution to journal › Article › peer-review

235 Citations (Scopus)

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.

Original language	English
Pages (from-to)	151-157
Number of pages	7
Journal	Particuology
Volume	7
Issue number	2
DOIs	https://doi.org/10.1016/j.partic.2009.01.005
Publication status	Published - 2009 Apr

Keywords

Microstructure
Nanofluids
Rheology
Thermal conductivity
Viscosity

ASJC Scopus subject areas

Chemical Engineering(all)
Materials Science(all)

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10.1016/j.partic.2009.01.005

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title = "Predicting thermal conductivity of liquid suspensions of nanoparticles (nanofluids) based on rheology",

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.",

keywords = "Microstructure, Nanofluids, Rheology, Thermal conductivity, Viscosity",

author = "Haisheng Chen and Sanjeeva Witharana and Yi Jin and Chongyoup Kim and Yulong Ding",

note = "Funding Information: This work is supported by the UK EPSRC under Grants EP/F027389/1, EP/F023014/1, EP/D000645/1 and EP/F000464/1, and The British Council PMI2 Scheme under Grant RC177.",

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AU - Kim, Chongyoup

AU - Ding, Yulong

N1 - Funding Information: This work is supported by the UK EPSRC under Grants EP/F027389/1, EP/F023014/1, EP/D000645/1 and EP/F000464/1, and The British Council PMI2 Scheme under Grant RC177.

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AB - 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.

KW - Microstructure

KW - Nanofluids

KW - Rheology

KW - Thermal conductivity

KW - Viscosity

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

Abstract

Keywords

ASJC Scopus subject areas

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