Aggregation based model for heat conduction mechanism in nanofluids

Changwei Pang, Jung Yeul Jung, Yong Tae Kang

Research output: Contribution to journalArticlepeer-review

51 Citations (Scopus)


A new mathematic model for heat conduction of nanofluid is developed based on the experimental findings. Effective medium theory, nanolayer of liquid molecule around solid particle, aggregation, nano-convection due to the Brownian motion of nanoparticle, and interfacial thermal resistance are included to elucidate the heat conduction mechanism in nanofluids. The analytical result fits well with the experimental data and the maximum deviation is obtained to be 1.52% for SiO2 nanofluid. The effects of aggregate shape (i.e., ellipsoid, sphere and fiber) and its size are investigated to evaluate the thermal conductivity of the nanofluids. The prediction shows that nano-convection induced by the movement of aggregates, is leading the main contribution for thermal conductivity enhancement at a low concentration of ∼0.1 vol%. Thermal conductivity of aggregate becomes crucial to affect the static contribution for the enhancement. In addition, it is found that the interfacial thermal resistance and nanolayer have little effect on the thermal conductivity enhancement of nanofluids at a very low concentration of nanoparticles.

Original languageEnglish
Pages (from-to)392-399
Number of pages8
JournalInternational Journal of Heat and Mass Transfer
Publication statusPublished - 2014 May
Externally publishedYes


  • Aggregation of nanoparticles
  • Nano-convection
  • Nanofluids
  • Thermal conductivity

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes


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