A revised model for Jeffrey nanofluid subject to convective condition and heat generation/absorption

• Published in: PloS one Vol. 12; no. 2; p. e0172518
• Main Authors: Hayat, Tasawar, Aziz, Arsalan, Muhammad, Taseer, Alsaedi, Ahmed
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 23.02.2017; Public Library of Science (PLoS)
• Subjects: Absorption; Algorithms; Applied mathematics; Boundary layer flow; Boundary layers; Brownian motion; Brownian movements; Computational fluid dynamics; Computer Simulation; Convection; Engineering and Technology; Fluid flow; Heat conductivity; Heat generation; Heat transfer; Hot Temperature; Hydrodynamics; Magnetic Fields; Magnetohydrodynamic power generation; Magnetohydrodynamics; Mass flux; Models, Chemical; Motion; Nanofluids; Nanoparticles; Nanoparticles - chemistry; Nanotechnology; Non-Newtonian fluids; Nonlinear systems; Partial differential equations; Physical Sciences; Reynolds number; Surface chemistry; Surface Properties; Temperature; Temperature effects; Thermophoresis; Viscoelasticity; Viscosity; Saudi Arabia; Islamabad Pakistan; Pakistan
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0172518

Here magnetohydrodynamic (MHD) boundary layer flow of Jeffrey nanofluid by a nonlinear stretching surface is addressed. Heat generation/absorption and convective surface condition effects are considered. Novel features of Brownian motion and thermophoresis are present. A non-uniform applied magnetic field is employed. Boundary layer and small magnetic Reynolds number assumptions are employed in the formulation. A newly developed condition with zero nanoparticles mass flux is imposed. The resulting nonlinear systems are solved. Convergence domains are explicitly identified. Graphs are analyzed for the outcome of sundry variables. Further local Nusselt number is computed and discussed. It is observed that the effects of Hartman number on the temperature and concentration distributions are qualitatively similar. Both temperature and concentration distributions are enhanced for larger Hartman number.