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Natural convection in nanofluids: Are the thermophoresis and Brownian motion effects significant in nanofluid heat transfer enhancement?
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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.
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“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%.”
From A critical assessment of nanoparticles enhanced phase change materials (NePCMs) for latent heat energy storage applications (2023) · cites this paper as [46]
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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
- green
- hdl.handle.net
- 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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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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