4.6 Article

An Analytical Study of Internal Heating and Chemical Reaction Effects on MHD Flow of Nanofluid with Convective Conditions

期刊

CRYSTALS
卷 11, 期 12, 页码 -

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MDPI
DOI: 10.3390/cryst11121523

关键词

analytical method; Joule heating; stagnation point flow; chemical reaction; viscous dissipation

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This research explores the combined effect of chemically reactive and thermal radiation on electrically conductive stagnation point flow of nanofluid in the presence of a stationary magnetic field. The study develops a system of coupled ordinary differential equations for analyzing the nonlinear-coupled equations using an efficient analytical method and numerical simulation. Through investigating the consequences of dimensionless parameters on flow fields, the research gains insight into the physical parameters and discusses the impact on momentum, thermal boundary layers, and concentration profiles.
This research investigates the influence of the combined effect of the chemically reactive and thermal radiation on electrically conductive stagnation point flow of nanofluid flow in the presence of a stationary magnetic field. Furthermore, the effect of Newtonian heating, thermal dissipation, and activation energy are considered. The boundary layer theory developed the constitutive partial differential momentum, energy, and diffusion balance equations. The fundamental flow model is changed to a system of coupled ordinary differential equations (ODEs) via proper transformations. These nonlinear-coupled equations are addressed analytically by implementing an efficient analytical method, in which a Mathematica 11.0 programming code is developed for numerical simulation. For optimizing system accuracy, stability and convergence analyses are carried out. The consequences of dimensionless parameters on flow fields are investigated to gain insight into the physical parameters. The result of these physical constraints on momentum and thermal boundary layers, along with concentration profiles, are discussed and demonstrated via plotted graphs. The computational outcomes of skin friction coefficient, mass, and heat transfer rate under the influence of appropriate parameters are demonstrated graphically.

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