K. Sudarmozhi, D. Iranian, Ilyas Khan, Shaha Al-Otaibi
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引用次数: 0
Abstract
Non-Newtonian fluids have an inclusive range of applications in the field of heat mass transfer flow, in the movement of cooling of metallic plates, oceanography, biological fluids, melt-spinning, coating heat exchangers expertise and interruptions. In view of these applications, it examines the numerical simulation of hydromagnetic non-Newtonian maxwell fluid flow on a flat plate over a permeable medium. A discussion with Soret, Dufour, and radiation effects is presented. PDEs with non-linearities are transformed into ODEs by using similarity variables. In order to determine the solution to the nonlinear equations, the eminent numerical Runge–Kutta–Fehlberg 45th order is used. The model is solved for a number of parameters, and the resulting effects are plotted and summarized. As a result of the magnetic field, the energy profile accelerates, and then thermal radiation influences both the momentum and thermal fields to expand. Finally, with the increased Eckert number, the Nusselt number decreases.
期刊介绍:
The Journal of Porous Media publishes original full-length research articles (and technical notes) in a wide variety of areas related to porous media studies, such as mathematical modeling, numerical and experimental techniques, industrial and environmental heat and mass transfer, conduction, convection, radiation, particle transport and capillary effects, reactive flows, deformable porous media, biomedical applications, and mechanics of the porous substrate. Emphasis will be given to manuscripts that present novel findings pertinent to these areas. The journal will also consider publication of state-of-the-art reviews. Manuscripts applying known methods to previously solved problems or providing results in the absence of scientific motivation or application will not be accepted. Submitted articles should contribute to the understanding of specific scientific problems or to solution techniques that are useful in applications. Papers that link theory with computational practice to provide insight into the processes are welcome.