Forced convection heat transfer inside tube for Non-Newtonian fluid flow utilizing nanofluid
Int. Journal of Applied Sciences and Engineering Research, • 2014
Publication Information
Authors
Mohamed Moawed1, Wael El-Maghlany2, Ragab K. Ali1, Mohsen Hamed
Keywords
Numerical simulation, Heat transfer, Nano fluids, Non-Newtonian, blood.
Journal
Int. Journal of Applied Sciences and Engineering Research,
Publisher
www.ijaser.com
Volume
Vol. 3
Issue
, Issue 4, 2014
Pages
Not Available
publication.type
International
Paper Link
Not Available
Supplementary Materials
Not Available
Abstract
Abstract: The convective heat transfer effect on the non-Newtonian nanofluid flow in the horizontal tube
with Constant heat flux was investigated using computational fluid dynamics (CFD). For this purpose,
non-Newtonian nanofluid containing Au and blood solution as a liquid with six particle concentrations of 1,
2, 4, 5 and 6 wt. % were used. Effect of particle concentration of Au-blood solution on convective heat
transfer coefficient was investigated in different Reynolds numbers (4000 to 16000) for various tube
diameters. The results showed that heat transfer coefficient and Nu number of non-Newtonian nanofluid
increased with increasing concentration of Au Nano particles. By applying the modeling results, an equation
was obtained for Nusselt number prediction using the dimensionless numbers.
with Constant heat flux was investigated using computational fluid dynamics (CFD). For this purpose,
non-Newtonian nanofluid containing Au and blood solution as a liquid with six particle concentrations of 1,
2, 4, 5 and 6 wt. % were used. Effect of particle concentration of Au-blood solution on convective heat
transfer coefficient was investigated in different Reynolds numbers (4000 to 16000) for various tube
diameters. The results showed that heat transfer coefficient and Nu number of non-Newtonian nanofluid
increased with increasing concentration of Au Nano particles. By applying the modeling results, an equation
was obtained for Nusselt number prediction using the dimensionless numbers.
Staff Members - Benha University