Cited by 7,013Nanofluid Flow and Heat TransferParticle Dynamics in Fluid FlowsHeat Transfer and Optimization

Convective Transport in Nanofluids

Buongiorno, J.·2006·Journal of Heat Transfer

Abstract

Nanofluids are engineered colloids made of a base fluid and nanoparticles (1-100nm). Nanofluids have higher thermal conductivity and single-phase heat transfer coefficients than their base fluids. In particular, the heat transfer coefficient increases appear to go beyond the mere thermal-conductivity effect, and cannot be predicted by traditional pure-fluid correlations such as Dittus-Boelter’s. In the nanofluid literature this behavior is generally attributed to thermal dispersion and intensified turbulence, brought about by nanoparticle motion. To test the validity of this assumption, we have considered seven slip mechanisms that can produce a relative velocity between the nanoparticles and the base fluid. These are inertia, Brownian diffusion, thermophoresis, diffusiophoresis, Magnus effect, fluid drainage, and gravity. We concluded that, of these seven, only Brownian diffusion and thermophoresis are important slip mechanisms in nanofluids. Based on this finding, we developed a two-component four-equation nonhomogeneous equilibrium model for mass, momentum, and heat transport in nanofluids. A nondimensional analysis of the equations suggests that energy transfer by nanoparticle dispersion is negligible, and thus cannot explain the abnormal heat transfer coefficient increases. Furthermore, a comparison of the nanoparticle and turbulent eddy time and length scales clearly indicates that the nanoparticles move homogeneously with the fluid in the presence of turbulent eddies, so an effect on turbulence intensity is also doubtful. Thus, we propose an alternative explanation for the abnormal heat transfer coefficient increases: the nanofluid properties may vary significantly within the boundary layer because of the effect of the temperature gradient and thermophoresis. For a heated fluid, these effects can result in a significant decrease of viscosity within the boundary layer, thus leading to heat transfer enhancement. A correlation structure that captures these effects is proposed.

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Crossref · 10.1115/1.2150834

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  • A two-phase model including Brownian diffusion, thermophoresis diffusion, and sedimentation is more suitable for multi-cycle simulations.

    “On the other hand, a more advanced two-phase model taking into account the Brownian diffusion and thermophoresis diffusion slip mechanisms as originally proposed by Buongiorno45, then further improved for numerical stability by Riahi et al.48, and upgraded by Amidu et al.47 to also include nanoparticles sedimentation effects, would be more suitable for such multi-cycle simulations.”
  • The single-phase model has been demonstrated to lack the ability to predict the correct magnitude of heat transfer enhancement, particularly for nanoparticle concentrations higher than 1%.

    “In fact, this model (single-phase model) has been demonstrated45–47 to lack the ability to predict the correct magnitude of the heat transfer enhancement, particularly, for nanoparticle concentrations higher than 1%.”

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Authors
Buongiorno, J.
Affiliations
Massachusetts Institute of Technology (US)
Corresponding author
Buongiorno, J.
Venue
Journal of Heat Transfer
Publisher
Wiley
Published
2005-08-15
Volume
128
Issue
3
Pages
240-250
ISSN
  • 0022-1481 (ISSN-L)
  • 1528-8943
OpenAlex
W2035685097
Cited by
7,013
References
0
Citations by year
2026: 340 · 2025: 436 · 2024: 586 · 2023: 682 · 2022: 682 · 2021: 653 · 2020: 560 · 2019: 527 · 2018: 427 · 2017: 450 · 2016: 407 · 2015: 341 · 2014: 263 · 2013: 221 · 2012: 159
FWCI
14.35
Type
journal article
Language
en
Open access
closed
Locations
ASME Journal of Heat and Mass Transfer (publishedVersion)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Nanofluid Flow and Heat Transfer
  • Physical Sciences › Engineering › Ocean Engineering › Particle Dynamics in Fluid Flows
  • Physical Sciences › Engineering › Mechanical Engineering › Heat Transfer and Optimization
Keywords
nanofluids, convective heat transfer, heat transfer coefficient enhancement, slip mechanism, Brownian diffusion, thermophoresis, nanoparticle dispersion, thermal dispersion, turbulent eddies

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