The Effect of Turbulence Model and Nanofluid on Fluid Flow and Heat Transfer in a Narrow Rectangular Duct

Year 2020, , 567 - 579, 01.06.2020

Edaviye Sare Akbay Berkay Dereli , Oğuz Turgut

https://doi.org/10.2339/politeknik.589390

Abstract

The
effect of type of turbulence model and nanofluid on the heat transfer and fluid
flow in a horizontal narrow rectangular duct is numerically studied under
constant wall heat flux boundary condition. Numerical study is carried out
using ANSYS Fluent 17.0 software. Examined parameters are the type of
turbulence model, the type of nanofluid, the volume fraction of nanoparticle in
nanofluid, and the Reynolds number. Three different k-e and
four different k-w turbulence models are employed. Aluminum oxide
Al₂O₃-water and copper oxide CuO-water are used as
nanofluids. Volume fractions of nanoparticles used are 0%, 0.1%, 0.5%, 1%, 2%
and 4%. Reynolds number changes from 3×10³ to 50×10³.
Results showed that k-ω standard turbulence model with low Reynolds number
correction gives better result. It is seen that both the type and the volume
fraction of nanoparticle in nanofluid affect heat transfer and pressure drop.
Using Al₂O₃ and CuO nanoparticles in water increases
thermal performance. It is found that the performance factor of CuO-water
nanofluid is better than that of Al₂O₃-water nanofluid.
It is seen that using turbulent fully developed flow correlations derived for
circular ducts may end up with incorrect results for the flow in two-dimensional
rectangular duct.

Keywords

Computational fluid dynamics (CFD), turbulent flow, nanofluid, heat source, numerical analysis

The Effect of Turbulence Model and Nanofluid on Fluid Flow and Heat Transfer in a Narrow Rectangular Duct

Abstract

The effect of turbulence model and nanofluid
on the heat transfer and fluid flow in a horizontal narrow rectangular duct is numerically
studied under constant wall heat flux boundary condition. Numerical study is
carried out using ANSYS Fluent 17.0 software. Examined parameters are the type
of turbulence model, the type of nanofluid, the volume fraction of nanofluid,
and the Reynolds number. Three different k-e
and four different k-w turbulence
models are employed. Aluminum oxide Al₂O₃-water and
copper oxide CuO-water are used as nanofluids. Volume fractions of
nanoparticles used are 0%, 0.1%, 0.5%, 1%, 2% and 4%. Reynolds number changes from
3×10³ to 50×10³. Results showed that k-ω standard turbulence model with low Reynolds number
correction gives better result. It is seen that both the type and volume
fraction of nanofluid affect heat transfer and pressure drop. Using Al₂O₃
and CuO nanoparticles in water increases thermal performance. It is found that
the performance of CuO-water nanofluid is better than that of Al₂O₃-water
nanofluid. It is seen that using turbulent fully developed correlations derived
for circular ducts may end up with incorrect results for the flow in a two
dimensional rectangular duct.

Keywords

Computational Fluid Dynamics (CFD), turbulent flow, nanofluid, heat source, numerical analysis

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