Volume 4, Issue 3, September 2019, Page: 66-73
Mixed Convective Magnetohydrodynamic Heat Transfer Flow of Williamson Fluid Over a Porous Wedge
Amina Panezai, Department of Mathematics, University of Balochistan, Quetta, Pakistan
Abdul Rehman, Department of Mathematics, University of Balochistan, Quetta, Pakistan
Naveed Sheikh, Department of Mathematics, University of Balochistan, Quetta, Pakistan
Saleem Iqbal, Department of Mathematics, University of Balochistan, Quetta, Pakistan
Israr Ahmed, Department of Mathematics, University of Balochistan, Quetta, Pakistan
Manzoor Iqbal, Department of Chemistry, University of Balochistan, Quetta, Pakistan
Muhammad Zulfiqar, Department of Mathematics, Government College University Lahore, Pakistan
Received: Jul. 9, 2019;       Accepted: Aug. 4, 2019;       Published: Aug. 29, 2019
DOI: 10.11648/j.ajmcm.20190403.13      View  37      Downloads  18
Abstract
The present article examines the influence of thermal radiation on two-dimensional incompressible magnetohydrodynamic (MHD) mixed convective heat transfer flow of Williamson fluid flowing past a porous wedge. An adequate similarity transformation is adopted to reduce the fundamental boundary layer partial differential equations of Williamson fluid model in to a set of non-linear ordinary differential equations. The solutions of the resulting nonlinear system are obtained numerically using the fifth order numerical scheme the Runge-Kutta-Fehlberg method. The effects of different pertinent physical parameter such as magnetic parameter, Williamson parameter, radiation parameter and Prandtl number on temperature and velocity distributions are observed through graph.
Keywords
Williamson Fluid, Boundary Layer Flow, Mixed Convection Heat Transfer, Runge-Kutta-Fehlberg Technique
To cite this article
Amina Panezai, Abdul Rehman, Naveed Sheikh, Saleem Iqbal, Israr Ahmed, Manzoor Iqbal, Muhammad Zulfiqar, Mixed Convective Magnetohydrodynamic Heat Transfer Flow of Williamson Fluid Over a Porous Wedge, American Journal of Mathematical and Computer Modelling. Vol. 4, No. 3, 2019, pp. 66-73. doi: 10.11648/j.ajmcm.20190403.13
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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