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A numerical study of the nanofluid flow over an exponentially stretching surface with Navier slip condition following Corcione model

Authors :
Muhammad Ramzan
Nazia Shahmir
Hassan Ali S. Ghazwani
Yasser Elmasry
Muhammad Bilal
Seifedine Kadry
Source :
International Journal of Modern Physics B.
Publication Year :
2023
Publisher :
World Scientific Pub Co Pte Ltd, 2023.

Abstract

The size of nanoparticles influences the viscosity and thermal conductivity of a nanofluid flow. In this exploration, the impacts of the dynamic viscosity and thermal conductivity of the Corcione model on the magneto-hydrodynamics (MHD) Cu-water nanofluid flow over an exponentially stretched surface are examined. It is pertinent to mention that the whole scenario is done at 300[Formula: see text]K and the freezing temperatures of 273.15[Formula: see text]K with a particle size of 25[Formula: see text]nm. The Navier slip and convective boundary conditions are assumed at the surface. A homogeneous single-phase model is adopted to formulate the problem. Nonlinear, coupled momentum, and energy balance nondimensionalized ordinary differential equations (ODEs) are constructed with suitable transformations. To solve these ODEs numerically, a renowned bvp4c technique of MATLAB software is employed. The effects of the arising parameters are represented graphically and numerically and are depicted in tables and graphs. It is witnessed that the velocity of the copper-water nanofluid declined with larger estimations of the volume fraction of nanoparticles, although the temperature distribution showed the reverse tendency. Moreover, at the surface for higher values of the slip parameter, the velocity profile reduces and the temperature of the fluid augments for higher values of the Biot number. The validation of the model is also executed by comparing it with the published result in the limiting case. An outstanding correlation is attained.

Details

ISSN :
17936578 and 02179792
Database :
OpenAIRE
Journal :
International Journal of Modern Physics B
Accession number :
edsair.doi...........183e44a8ed5d87ce6decec7a38d006ee
Full Text :
https://doi.org/10.1142/s0217979223502715