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. 2021 Nov 25;11(1):22924.
doi: 10.1038/s41598-021-02212-3.

Flow and heat transport phenomenon for dynamics of Jeffrey nanofluid past stretchable sheet subject to Lorentz force and dissipation effects

Faisal Shahzad  1 , Dumitru Baleanu  2   3   4 , Wasim Jamshed  5 , Kottakkaran Sooppy Nisar  6 , Mohamed R Eid  7   8 , Rabia Safdar  9 , Khadiga Ahmed Ismail  10
Affiliations

Flow and heat transport phenomenon for dynamics of Jeffrey nanofluid past stretchable sheet subject to Lorentz force and dissipation effects

Faisal Shahzad et al. Sci Rep. .

Abstract

Survey of literature unveils that nanofluids are more efficient for heat transport in comparison to the traditional fluids. However, the enlightenment of developed techniques for the augmentation of heat transport in nanomaterials has considerable gaps and, consequently, an extensive investigation for aforementioned models is vital. The ongoing investigation aims to study the 2-D, incompressible Jeffrey nanofluid heat transference flow due to a stretchable surface. Furthermore, the effect of dispersion of graphene nanoparticles in base liquid ethylene glycol (EG) on the performance of flow and heat transport using the Tawari-Das model in the existence of Ohmic heating (electroconductive heating) and viscous heat dissipation is contemplated. The boundary-layer PDEs are reconstituted as ODEs employing appropriate similarity transformation. Keller-Box Method (KBM) is utilized to determine the numerical findings of the problem. Graphene conducts heat greater in rate than all of the other materials and it is a good conductor of electrical energy. Graphene/EG nanofluid is employed to look out the parametric aspects of heat transport flow, drag coefficient, and heat transference rate phenomena with the aid of graphs and tables. The numerical outcomes indicate that concentration and magnetic field abate the shear stresses for the nanofluid. An increase of Graphene nanoparticle volume fraction parameter can boost the heat transport rate. The effect of Prandtl Number is to slow down the rate of heat transport as well as decelerate the temperature. Additionally, the rate of heat transportation augments on a surface under Deborah's number. Results indicate that the temperature of the graphene-EG nanofluid is greater than the convectional fluid hence graphene-EG nanofluid gets more important in the cooling process, biosensors and drug delivery than conventional fluids.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Physical flow configuration.
Figure 2
Figure 2
Flow chart of the current methodology.
Figure 3
Figure 3
Finite difference space grid.
Figure 4
Figure 4
Velocity F′Υ via β and M.
Figure 5
Figure 5
Temperature ΘΥ via β and M.
Figure 6
Figure 6
Velocity F′Υ via ϕ.
Figure 7
Figure 7
Temperature ΘΥ via ϕ.
Figure 8
Figure 8
Temperature ΘΥ via Pr and β.
Figure 9
Figure 9
Temperature ΘΥ via Ec and β.
Figure 10
Figure 10
Skin friction Cf via ϕ and M.
Figure 11
Figure 11
Skin friction Cf via ϕ and β.
Figure 12
Figure 12
Nusselt number Nux via Ec and β.
Figure 13
Figure 13
Nusselt number Nux via ϕ and Pr.
See this image and copyright information in PMC

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