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Nanofluid heat transfer augmentation in a double pipe heat exchanger

Authors: Kafel Azeez; Ayad Fouad Hameed; Adnan M. Hussein;

Nanofluid heat transfer augmentation in a double pipe heat exchanger

Abstract

In this study, the heat transfer coefficient and pressure drop in a tube under turbulent flow condition are studied numerically. The Reynolds number range and nanoparticles concentration are in the range of (5000-30000) and 1% to 4% respectively. The governing equations have solved by the finite volume method adopting ANSYS software for simulation. The boundary conditions include the inlet velocity, outlet pressure and constant inlet temperature with adopting SIMPLE algorithm. The results demonstrate that the AL2O3/Water nanofluid can enhance thermal properties of base fluid to 20%, additionally; the heat transfer rate of nanofluid compared to the water is higher but friction factor slightly higher than that of pure water.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Top 10%
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