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Computational Thermal Sciences: An International Journal
ESCI SJR: 0.244 SNIP: 0.434 CiteScore™: 0.7

ISSN Print: 1940-2503
ISSN Online: 1940-2554

Computational Thermal Sciences: An International Journal

DOI: 10.1615/ComputThermalScien.2018020085
pages 521-543

MIXED CONVECTION OF NANOFLUID OVER A BACKWARD FACING STEP UNDER THE EFFECTS OF A TRIANGULAR OBSTACLE AND INCLINED MAGNETIC FIELD

Fatih Selimefendigil
Mechanical Engineering Department, Celal Bayar University, Manisa, 45140, Turkey
Hakan F. Öztop
Department of Mechanical Engineering, Technology Faculty, Firat University, Elazig, Turkey; Mechanical Engineering Department, Faculty of Engineering, King Abdulaziz University, P.O. Box 40844, Jeddah 21511, Saudi Arabia

ABSTRACT

In this study, laminar mixed convection of CuO–water nanofluid over a backward facing step with the presence of a triangular obstacle and under the effect of magnetic field was numerically investigated. Finite volume method was used to solve the governing equations for the range of parameters: Richardson number (between 0.01 and 100), Hartmann number (between 0 and 50), nanoparticle volume fraction (between 0 and 0.04), and horizontal location of the triangular obstacle (between 0.5H and 2H). It was observed that average heat transfer is a decreasing function of Richardson number and an increasing function of nanoparticle volume fraction. The dependence of average heat transfer on the magnetic field parameters shows a resonant-type behavior. The obstacle affects the local Nusselt number distribution near the step especially for lower values of Richardson number and Hartmann number. Artificial neural networks were used to develop models that can be used instead of high-fidelity computational fluid dynamics simulations for fast and accurate thermal performance predictions of the considered system.


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