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Cited by 527

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Effects of inclination angle on natural convection in enclosures filled with Cu–water nanofluid

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Abu-Nada, Eiyad, Oztop, Hakan F.·2009·International Journal of Heat and Fluid Flow

Abstract

Abstract Effects of inclination angle on natural convection heat transfer and fluid flow in a two-dimensional enclosure filled with Cu-nanofluid has been analyzed numerically. The performance of nanofluids is tested inside an enclosure by taking into account the solid particle dispersion. The angle of inclination is used as a control parameter for flow and heat transfer. It was varied from = 0° to = 120°. The governing equations are solved with finite-volume technique for the range of Rayleigh numbers as 103 ⩽ Ra ⩽ 105. It is found that the effect of nanoparticles concentration on Nusselt number is more pronounced at low volume fraction than at high volume fraction. Inclination angle can be a control parameter for nanofluid filled enclosure. Percentage of heat transfer enhancement using nanoparticles decreases for higher Rayleigh numbers.

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Metadata

Authors
Abu-Nada, E., & Oztop, H. F.
Venue
International Journal of Heat and Fluid Flow
Publisher
Elsevier BV
Published
2009-08
Volume
30
Issue
4
Pages
669-678
ISSN
0142-727X (ISSN-L)
OpenAlex
W2134188039
Cited by
527
References
0
FWCI
19.80
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Effects of inclination angle on natural convection in enclosures filled with Cu–water nanofluid. https://app.cochat.ai/papers/10.1016/j.ijheatfluidflow.2009.02.001
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Abu-Nada, E., & Oztop, H. F. (2009). Effects of inclination angle on natural convection in enclosures filled with Cu–water nanofluid. International Journal of Heat and Fluid Flow. https://doi.org/10.1016/j.ijheatfluidflow.2009.02.001

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.