Heat Transfer of a non-Newtonian MHD boundary layer fluid flow with active and passive controls of nanoparticles

In this paper, active and passive controls of nanoparticles in a Sisko fluid flow are considered. An external magnetic force is applied normal to the stretching surface beneath the non-Newtonian flow. The governing equations of the model in the form of partial differential equations, are later transformed to a set of nonlinear ordinary differential equations (ODEs) using suitable similarity variables. A numerical scheme is employed to solve the ODE system. The flow velocity, temperature and nanoparticles profiles are examined. The heat transfer of the flow is analysed. Comparison between the effects of active and passive controls of nanoparticles in the non-Newtonian flow is also discussed

Engine oil enhanced performance with hybrid graphene-SWCNT nanomaterials over a Riga curvy surface

Hybrid graphene nanomaterials and single-wall carbon nanotubes (SWCNTs) saturated in a steady laminar viscous incompressible engine oil over a permeable and stretchable curvy Riga surface are focussed in the present study. The effects of nanoparticle shape factor, nanoparticle volume fraction and thermal radiation towards the non-Newtonian flow are considered. The proposed partial differential governing equations are initially transformed into non-linear ODEs aided with similarity expressions. Subsequently, the numerical MATLAB's bvp4c package is utilized to solve the equations. Then, the parameters' influences on dimensionless velocity and temperature distributions, reduced skin friction coefficient and reduced Nusselt number are presented tabularly and graphically. Hybrid graphene-SWCNTs/engine oil has the least velocity, yet the greatest temperature profile when φ1= 0.04 and φ2= 0.02 are considered. It is also observed that the heat transfer performance enhances as the values of nanoparticle shape factor and thermal radiation increase. The lamina-shape nanomaterials are highly recommended to elevate the heat transfer performance of hybrid graphene-SWCNTs/engine oil for realistic applications. The present hybrid nanofluid flow with consideration of thermal radiation and nanoparticle shape factor allows enhancement in the heat and mass transfer for various engineering, technological and industrial operations especially in the design of submarines, thermal reactors and micro-coolers

MHD squeezed flow of water functionalized metallic nanoparticles over a sensor surface

Abstract Present study is devoted to analyze the magnetohydrodynamics (MHD) squeezed flow of nanofluid over a sensor surface. Modeling of the problem is based on the geometry and the interaction of three different kinds of metallic nanoparticles namely: copper (Cu), alumina (Al2O3) and titanium dioxide (TiO2) with the homogeneous mixture of base fluid (water). The self-similar numerical solutions are presented for the reduced form of the system of coupled ordinary differential equations. The effects of nanoparticles volume friction, permeable velocity and squeezing parameter for the flow and heat transfer within the boundary layer are presented through graphs. Comparison among the solvent are constructed for both skin friction and Nusselt number. Flow behavior of the working nanofluid according to the present geometry has analyzed through Stream lines. Conclusion is drawn on the basis of entire investigation and it is found that in squeezing flow phenomena Cu-water gives the better heat transfer performance as compare with the rest of mixtures