Abstract
In this paper two-dimensional incompressible water–Al2O3 nanofluid flow in a confined jet in the laminar flow regime is numerically investigated. A finite volume technique on a collocated grid is employed for discretizing the governing equations by applying the SIMPLE algorithm to link the pressure and velocity fields. The present computations are in a very good agreement with experimental results in open literature.
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Abbreviations
- AR :
-
Aspect ratio (=h/d)
- c 1, c 2 , c 3 , c 4 :
-
Constant parameter
- c p :
-
Specific heat (kJ/kg K)
- d :
-
Jet length (m)
- d f :
-
Diameter of base fluid molecules (m)
- d p :
-
Average diameter of nanoparticles (m)
- h :
-
Height of channel (m)
- i, j :
-
Indices
- k :
-
Thermal conductivity (W/m K)
- k b :
-
Boltzmann number (=1.3807 × 10−23 J/K)
- l f :
-
Free average distance of water molecules (m)
- N :
-
Parameter for adapting the results with experimental data
- Nu :
-
Nusselt number
- P :
-
Pressure (Pa)
- Pr :
-
Prandtl number of nanofluid
- Q :
-
Heat flux (W/m2)
- Re :
-
Reynolds number
- T :
-
Temperature (K)
- T B :
-
Bulk temperature of nanofluid (K)
- V b :
-
Brownian velocity of nanoparticles (m/s)
- u :
-
Horizontal velocity (m/s)
- v :
-
Vertical velocity (m/s)
- α:
-
Thermal diffusivity (m2/s)
- δ:
-
Center to center distance of nanoparticles (m)
- δ ij :
-
Kronecker delta
- Φ:
-
Volume fraction (%)
- φ:
-
Thermal dissipation
- μ:
-
Viscosity (Pa s)
- ρ:
-
Density (kg/m3)
- τ:
-
Stress tensor (Pa)
- avg :
-
Average
- f :
-
Base fluid
- in :
-
Inlet
- nf :
-
Nanofluid
- p :
-
Particle
- w :
-
Wall
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Rahimi-Esbo, M., Ranjbar, A.A., Ramiar, A. et al. Numerical simulation of forced convection of nanofluid in a confined jet. Heat Mass Transfer 48, 1995–2005 (2012). https://doi.org/10.1007/s00231-012-1040-8
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DOI: https://doi.org/10.1007/s00231-012-1040-8