Mustafa, Mamat and Swalmeh, M.Z and Alkasasbeh, H.T and Hussanan, A (2019) Numerical Study of Mixed Convection Heat Transfer in Methanol based Micropolar Nanofluid about a Horizontal Circular Cylinder. In: 2nd International Conference on Applied and Industrial Mathematics and Statistics 2019, 23 July 2019, The Zenith Hotel Kuantan, Pahang.
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Abstract
In this article, the mixed convection boundary layer flow about a horizontal circular cylinder with a micropolar nanofluid, which is maintained at a constant surface heat flux, has been investigated. Three types of nanoparticles with distinct conductivities, namely, graphene oxide, copper and copper oxide are considered and suspended in methanol based micropolar nanofluid. The governing equations are transformed into nonlinear PDEs by applying the similarity transformations and then solved numerically by an implicit finite difference scheme known as Keller-box method. The results for the local wall temperature, local skin friction coefficient, temperature, velocity and angular velocity are plotted and discussed for different parameters such as nanoparticles volume fraction and mixed convection parameter in view of thermo-physical properties of nanoparticles and base fluid. Moreover, numerical results for the local wall temperature and local skin friction coefficient are obtained. It is found that copper (Cu) suspended methanol based micropolar nanofluid have higher velocity than the copper oxide (CuO) or graphene oxide (GO) methanol based micropolar nanofluid. Comparison have been made with published results on Newtonian fluid under special cases and obtained in close agreement.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Constant surface heat fluxes, Governing equations, Horizontal circular cylinders, Implicit finite-difference schemes, Local skin-friction coefficient, Mixed convection boundary layer flow, Similarity transformation, Thermo-physical property |
Subjects: | Q Science > QA Mathematics |
Divisions: | Faculty of Informatics & Computing |
Depositing User: | Muhammad Akmal Azhar |
Date Deposited: | 24 Nov 2020 06:48 |
Last Modified: | 24 Nov 2020 06:48 |
URI: | http://eprints.unisza.edu.my/id/eprint/1924 |
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