The continuous two-dimensional MHD nanofluid flow across a nonlinear stretching sheet has been investigated in this work. In this paper, the study was done in the presence of both Hall current and radiation. The nonlinear partial differential equations were first regulated using boundary layer approximation, and then the governing equations were converted into an ordinary system of differential equations using appropriate similarity solutions. The numerical simulations were carried out using the Nachtsheim-Swigert shooting iteration approach and a six-order Runge-Kutta integration scheme where a programming language called FORTRAN was used as assistance. The outcomes of the problem related equations have been narrated briefly and displayed by various graph. The dominance of the stretching parameter and combined effects of Hall current together with thermal radiation on velocity profiles, temperature profiles, and concentration profiles, as well as important physical phenomena like skin friction, Nusselt number and Sherwood number, were examined with the help of various graphs. The implications of material and magnetic factors on primary velocity, Prandtl number on temperature profiles, and Lewis number on concentration profiles have been visually depicted. The dominance of Hall current and radiation at the same time, as well as the impression of stretching parameter, have been determined to be more effective on Bingham fluid. It has application in drug delivery. It can be used to administer drugs. Because fluidity takes a particular level of shear stress to produce, it may be focused to medication delivery in certain muscles or organs by regulating injection pressure and other drug delivery devices.
This research has examined the flow properties of non-linear radiative nano non- Newtonian fluid flow via a stretched sheet, as well as the impact of Arrhenius activation energy is also inspected. The basic equations, which comprised time-dependent pivotal equations, were built using boundary layer approximations. As a numerical methodology, an explicit finite difference (EFD) technique was exerted. The fluid flow has been simulated employing FORTRAN in this case. A stability and convergence study has been performed to determine the accuracy of the numerical approach, and the system was determined to be converged at Pr≥ 0.062, and Le≥ 0.016. Here, non-dimensional outcomes based on various physical characteristics are considered. The effect of these numerous physical characteristics is explained and visually represented for a variety of flow fields. Furthermore, the examination of streamlines and isothermal lines has demonstrated enhanced visualization of the fluid flow. It has been revealed that non-linear pattern thermal radiation has a substantial impact on the heat transfer properties of nanofluid. Moreover, when non-linear radiation is addressed, the Lorentz force also has a significant impact on fluid flow. A great agreement has also served as a confirmation of the current effort. This sort of fluid has potential uses in mining, lubrication, and biomedical flow.
The heat and mass transfer simulation of magnetohydrodynamics (MHD) radiative convective flow of nanofluid through an inclined porous surface are studied. The governing system of couple partial differential equations are transformed into a system of ordinary differential equations. This transformation is done by similarity transformation technique. The numerical solutions are done by sixth order Runge-Kutta method along with Nachtsheim-Swigert shooting iteration technique and then displayed graphically by using Tecplot 9.0. The physical insight of velocity, temperature and concentration have been studied for various physical parameters through numerical calculation and their respective graphs are displayed. Skin friction, rate of heat transfer and rate of mass transfer are also studied for different parameter. Finally, the results are presented in detail with the help of graphs and tables to observe the effect of different parameters like Magnetic parameter (M), radiation parameter (R), thermal Grashof number (Gr), mass Grashof number (Gc), Prandtl number (Pr), Eckert number (Ec) and chemical reaction parameter (Kr).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.