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Prediction of convective heat transfer of nanofluids based on fractal-monte carlo simulations

  • Bo Qi Xiao*
  • , Guo Ping Jiang
  • , Yi Yang
  • , Dong Mei Zheng
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

With the consideration of the Brownian motion of nanoparticles in fluids, the probability model for the size of nanoparticles and the model for convective heat transfer of nanofluids are derived based on the fractal character of nanoparticles. The proposed model is expressed as a function of the size of nanoparticles, the volumetric nanoparticle concentration, the thermal conductivity of base fluids, fractal dimension of nanoparticles and the temperature, as well as the random number. It is found that the convective heat flux of nanofluids decreases with increasing of the average diameter of nanoparticles. This model has the characters of both analytical and numerical solutions. The Monte Carlo simulations combined with the fractal geometry theory are performed. Every parameter of the proposed formula on convective heat transfer of nanofluids has clear physical meaning. So the proposed model can reveal the physical mechanisms of convective heat transfer of nanofluids.

Original languageEnglish
Article number1250090
JournalInternational Journal of Modern Physics C
Volume24
Issue number1
DOIs
StatePublished - 2013
Externally publishedYes

Keywords

  • Convective heat transfer
  • Fractal
  • Monte Carlo simulations
  • Nanofluids

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