The aim of this work is to investigate the capability of the numerical predications for both dynamic and thermal fields in a turbulent flow by using eddy-viscosity turbulence model. A special case was chosen to predict forced convection heat transfer in low turbulent Reynolds number and very low Prandtl number fluids and investigate the sensitivity of these predictions to the type of the in-house code and to several input parameters. Results obtained with a standard LRN (k-ε) turbulence model at relevant Reynolds number for the fully developed turbulent channel flow (Reτ = 180 and Pr= 0.025), are presented and discussed. The mean velocity and temperature profiles agree very well with that of a reference Direct Numerical simulation (DNS).
Abed Al-Kadhem Majhool,A . (2014). Effect of turbulent Prandtl number in the convective turbulent heat transfer modelling. Al-Qadisiyah Journal for Engineering Sciences, 7(4), 306-321.
MLA
Abed Al-Kadhem Majhool,A . "Effect of turbulent Prandtl number in the convective turbulent heat transfer modelling", Al-Qadisiyah Journal for Engineering Sciences, 7, 4, 2014, 306-321.
HARVARD
Abed Al-Kadhem Majhool A. (2014). 'Effect of turbulent Prandtl number in the convective turbulent heat transfer modelling', Al-Qadisiyah Journal for Engineering Sciences, 7(4), pp. 306-321.
CHICAGO
A Abed Al-Kadhem Majhool, "Effect of turbulent Prandtl number in the convective turbulent heat transfer modelling," Al-Qadisiyah Journal for Engineering Sciences, 7 4 (2014): 306-321,
VANCOUVER
Abed Al-Kadhem Majhool A. Effect of turbulent Prandtl number in the convective turbulent heat transfer modelling. QJES. 2014;7(4):306-321.
