1 research outputs found
Convective boundary layer flow in generalized Newtonian nanofluid under various boundary conditions
The four mathematical models of boundary layer flow solved under different boundary
conditions. The first problem considered the unsteady squeezing flow of the Carreau
nanofluid over the sensor surface, where three different nanoparticles were suspended
in the base fluid. A comparison of the results of suspended materials in liquids proved
that increased surface permeability leads to increased heat transfer. The second
problem described the magnetohydrodynamics (MHD) Darcy-Forchheimer model,
which considers Maxwell nanofluids' flow. It was observed that an increase in the Biot
number coefficient increased heat transfer. The third problem evaluated activation
energy and binary reaction effect on the MHD Carreau nanofluid model. Buongiorno
nanofluid model was applied to shear-thinning or pseudoplastic fluid over the
pereamble surface. The relationship between the activation energy and chemical
reaction is influential and controls heat transfer processes. The fourth problem
analyzed the radiative Sutterby model over a stretching/shrinking sheet towards
stagnation point flow. Dual solutions were found using the scaling group
transformation, which was examined by a stability approach. Such a problem found an
increment in the suction parameter, the Deborah number, and the nanoparticle volume
fraction delayed the flow separation. The influence of various pertinent parameters on
the velocity and temperature distributions has been presented. The most relevant
results by the forceful impacts of thermo-physical properties on fluids were analyzed
through this work. Modeled equations are based on the conservation laws under the
boundary layer approximation. The similarity transformation method is used to
convert the governing partial differential equations into ordinary differential
equations. They are then solved using a numerical technique, known as the Runge�Kutta-Fehlberg method with shooting technique in the MAPLE 17 or bvp4c method in
the MATLAB 2019a