TURBULENT CONVECTIVE HEAT TRANSFER OF GRAPHENE OXIDE NANOFLUID THROUGH HORIZONTAL TUBE
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.5, No. 2)Publication Date: 2016-02-29
Authors : Mohamed Salem;
Page : 898-906
Keywords : Nanofluid; Volume Fraction; Heat Tran sfer;
Abstract
The aim of this paper is to study experimentally the forced convective heat transfer behaviou r of Graphene oxide nanofluids inside a horizontal circular tube subject to a constant and uniform heat flux at the pipe wall. Graphene oxide (GO) nanoparticles were synthesized by the modified Hummers method. GO particles dispersed in pure water are used as the working fluid. Consideration is given to the effect of the inclusion of nanoparticles on heat transfer enhancement, thermal conductivity and viscosity in the turbulent flow. Four volume fractions of 0.05%, 0.10%, 0.15% and 0.20% are tested for GO/w ater nanofluids. The heat transfer within the flowing nanofluids were measured and compared with the corresponding data for base fluid (pure water). The Reynolds number is ranged from 3000 to 10000. It is found from the study that (i) heat transfer enhance ment is caused by suspending nanoparticles and becomes more pronounced with an increase in the particle volume fraction, (ii) the nanofluids have substantially higher value of Nusselt number than the same liquids without nanoparticles and the Nusselt numbe r of nanofluids increase in accordance with an increase of the Reynolds number, (iii) heat transfer coefficient of nanofluid increase with Reynolds number, (iv) the viscosity, thermal conductivity, and electrical conductivity of Graphene oxide (GO) nanoflu id increase in accordance with an increase of the volume fraction.
Other Latest Articles
- A NALISYS OF GLOBAL FDI AND GDP ? L INEAR R EGRESSION M ODEL
- HYBRID AUTOMATA: A T OOL FOR REPRESENTING BIOLOGICAL SYSTEMS
- PERFORMANCE ANALYSIS OF VCR SYSTEM WITH VARYING THE DIAMETERS OF HELICAL CONDENSER COIL BY USING R - 134A REFRIGERANT
- FAULT ANALYSIS ON TRANSMISSION LINES USING ARTIFICIAL NEURAL NETWORK
- ESTIMATION OF PASSENGER CAR UNIT FOR HETROGENEOUS TRAFFIC IN VISAKHAPATNAM
Last modified: 2016-02-26 19:59:14