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Cited by 266Nanofluid Flow and Heat TransferHeat Transfer and OptimizationHeat Transfer and Numerical Methods

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Natural convection in nanofluids: Are the thermophoresis and Brownian motion effects significant in nanofluid heat transfer enhancement?

Open access
Haddad, Zoubida, Abu-Nada, Eiyad, Oztop, Hakan F., Mataoui, Amina·2012·International Journal of Thermal Sciences

Abstract

Abstract Natural convection heat transfer and fluid flow of CuO–Water nanofluids is studied using the Rayleigh–Benard problem. A two component non-homogenous equilibrium model is used for the nanofluid that incorporates the effects of Brownian motion and thermophoresis. Variable thermal conductivity and variable viscosity are taken into account in this work. Finite volume method is used to solve governing equations. Results are presented by streamlines, isotherms, nanoparticle distribution, local and mean Nusselt numbers and nanoparticle profiles at top and bottom side. Comparison of two cases as absence of Brownian and thermophoresis effects and presence of Brownian and thermophoresis effects showed that higher heat transfer is formed with the presence of Brownian and thermophoresis effect. In general, by considering the role of thermophoresis and Brownian motion, an enhancement in heat transfer is observed at any volume fraction of nanoparticles. However, the enhancement is more pronounced at low volume fraction of nanoparticles and the heat transfer decreases by increasing nanoparticle volume fraction. On the other hand, by neglecting the role of thermophoresis and Brownian motion, deterioration in heat transfer is observed and this deterioration elevates by increasing the volume fraction of nanoparticles.

Overview

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Registry

Crossref · 10.1016/j.ijthermalsci.2012.01.016

Cites

34 of 34 references verified0 citation errors · 0 not checkable

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Citations

Cites

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Research works printed but not linked: 1

  1. Choi, 1995, Enhancing thermal conductivity of fluids with nanoparticle, vol. 231/MD 66, 99

Cited by

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Metadata

Authors
Haddad, Z., Abu-Nada, E., Oztop, H. F., & Mataoui, A.
Affiliations
  • Fırat University (TR)
  • University of Sciences and Technology Houari Boumediene (DZ)
Corresponding author
Oztop, Hakan F.
Venue
International Journal of Thermal Sciences
Publisher
Elsevier BV
Published
2012-07
Volume
57
Pages
152-162
ISSN
1290-0729 (ISSN-L)
OpenAlex
W2075517304
Cited by
266
References
34
Citations by year
2026: 5 · 2025: 17 · 2024: 12 · 2023: 16 · 2022: 22 · 2021: 24 · 2020: 19 · 2019: 22 · 2018: 17 · 2017: 19 · 2016: 24 · 2015: 26 · 2014: 22 · 2013: 20 · 2012: 1
FWCI
11.94
Type
journal article
Language
en
Open access
Licence
  • cc-by-nc-nd
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • International Journal of Thermal Sciences (publishedVersion)
  • DSpace - FIRAT (Fırat University) (submittedVersion, cc-by-nc-nd)
Topics
  • Physical Sciences › Chemical Engineering › Fluid Flow and Transfer Processes › Nanofluid Flow and Heat Transfer
  • Physical Sciences › Engineering › Mechanical Engineering › Heat Transfer and Optimization
  • Physical Sciences › Engineering › Computational Mechanics › Heat Transfer and Numerical Methods
Keywords
natural convection, nanofluids, CuO-water nanofluid, Brownian motion, thermophoresis, heat transfer enhancement, Rayleigh-Bénard convection, variable thermal conductivity, variable viscosity, nanoparticle volume fraction, Nusselt number

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CoChat. (2026). Citation check: Natural convection in nanofluids: Are the thermophoresis and Brownian motion effects significant in nanofluid heat transfer enhancement? https://app.cochat.ai/papers/10.1016/j.ijthermalsci.2012.01.016
The paper
Haddad, Z., Abu-Nada, E., Oztop, H. F., & Mataoui, A. (2012). Natural convection in nanofluids: Are the thermophoresis and Brownian motion effects significant in nanofluid heat transfer enhancement? International Journal of Thermal Sciences. https://doi.org/10.1016/j.ijthermalsci.2012.01.016

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.