On dissipative MHD mixed convection boundary layer flow of Jeffrey fluid over an inclined stretching sheet with nanoparticles: Buongiorno model
Present paper utilizes a combination of non-Newtonian fluid model (Jeffrey fluid) with Buongiorno model (nanofluid). The Jeffery fluid, which is regarded as a base fluid, together with suspended nanoparticles are examined over an inclined stretching sheet with the amalgamated impacts of mixed co...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
VINCA Institute of Nuclear Sciences
2018
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/69705/ http://irep.iium.edu.my/69705/ http://irep.iium.edu.my/69705/ http://irep.iium.edu.my/69705/1/69705_On%20Dissipative%20MHD%20mixed%20convection%20boundary%20layer_article.pdf http://irep.iium.edu.my/69705/2/69705_On%20Dissipative%20MHD%20mixed%20convection%20boundary%20layer_scopus.pdf |
| Summary: | Present paper utilizes a combination of non-Newtonian fluid model (Jeffrey
fluid) with Buongiorno model (nanofluid). The Jeffery fluid, which is
regarded as a base fluid, together with suspended nanoparticles are
examined over an inclined stretching sheet with the amalgamated impacts of
mixed convection and viscous dissipation. The mathematical formulation of
this model is done by choosing the appropriate similarity variables for the
aim to reduce the complexity of governing partial differential equations. The
Runge-Kutta-Fehlberg (RKF45) method is then applied to the resulting of
nonlinear ordinary differential equations to generate numerical results for
highlighting the impact of emerging parameters towards specified
distributions. Both the graphical and tabular representations of vital
engineering physical quantities are also shown and deliberated. For the
increase of Eckert number, thermophoresis diffusion and Brownian motion
parameters, the elevation of temperature profiles is observed. Besides, the
thermophoresis diffusion parameter tends to accelerate the nanoparticle
concentration profile while Brownian motion parameter displays the
opposite behavior |
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