Turbulence model evaluation for numerical modelling of turbulent flow and heat transfer of nanofluids - Publication - Bridge of Knowledge

Search

Turbulence model evaluation for numerical modelling of turbulent flow and heat transfer of nanofluids

Abstract

In this work, Nusselt number and friction factor are calculated numerically for turbulent pipe flow (Reynolds number between 6000 and 12000) with constant heat flux boundary condition using nanofluids. The nanofluid is modelled with the single-phase approach and the simulation results are compared with experimental data. Ethylene glycol and water, 60:40 EG/W mass ratio, as base fluid and SiO2 nanoparticles are used as nanofluid with particle volume concentrations ranging from 0% to 10%. A prior turbulence model evaluation of k-ε-, k-ω- and k-ω-SST-model revealed substantial deviations between the tested models and resulted in applying the k-ω-SST-model for the simulation. Nusselt number predictions for the nanofluid are in agreement with experimental results and a conventional single-phase correlation. The mean deviation is in the range of 5%. Friction factor values show a mean deviation of 1.5% to a conventional single-phase correlation, however, they differ considerably from the nanofluid experimental data

Citations

  • 0

    CrossRef

  • 0

    Web of Science

  • 0

    Scopus

Cite as

Full text

full text is not available in portal

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:
Applied Mechanics and Materials no. 831, pages 165 - 180,
ISSN: 1662-7482
Language:
English
Publication year:
2016
Bibliographic description:
Boertz H., Baars A., Cieśliński J., Smoleń S.: Turbulence model evaluation for numerical modelling of turbulent flow and heat transfer of nanofluids// Applied Mechanics and Materials. -Vol. 831., (2016), s.165-180
DOI:
Digital Object Identifier (open in new tab) 10.4028/amm831
Verified by:
Gdańsk University of Technology

seen 87 times

Recommended for you

Meta Tags