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

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

Research output: Contribution to journalArticle

176 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 languageEnglish
Pages (from-to)151-157
Number of pages7
JournalParticuology
Volume7
Issue number2
DOIs
Publication statusPublished - 2009 Apr

Keywords

  • Microstructure
  • Nanofluids
  • Rheology
  • Thermal conductivity
  • Viscosity

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Materials Science(all)

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