Meta-analysis on thermo-migration of tiny/nano-sized particles in the motion of various fluids

Wakif, Abderrahim; Animasaun, I.L.; Narayana, P. V. Satya; Sarojamma, G.

doi:10.1016/j.cjph.2019.12.002

Cited by 144 publications

(59 citation statements)

References 75 publications

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“…In addition, we can see from Table 9, the increasing rate of

\overset{N u}{true}

is very high for

γ = 0^{o}

at the rate of 69.64026. From the analysis of the slope of regression method, one can note that the increase in

\overset{N u}{true}

with

ϕ

for different nondimensional parameters is sufficiently large compared with the study of Wakif et al, 41 wherein this study the authors measured the rate of increase by the same method used for previously published papers. The main reason for getting a large rate of increase in

\overset{N u}{true}

is due to the high presence of shear force (

R e = 100

) and buoyancy force (

G r = 1 0^{5}

) or the Mixed convection regime.…”

Section: Numerical Results and Discussionmentioning

confidence: 88%

“…Then only can we conclude on the effectiveness of nanofluid in the present configuration setup. For this reason alone, the increasing rate of heat‐transfer rate

(S_{l p})

with nanoparticle concentration

ϕ

for different nondimensional parameters is measured by the method of the slope of linear regression suggested in Aminossadati and colleagues 39‐41 and the respective rate is displayed in last row of Tables 5 to 9. When

G r = 1 0^{4}

, it was observed that the

\overset{N u}{true}

increases by

ϕ

at the rate of 17.11105 and with increase in

G r

further, the rate of heat‐transfer rate increases with a significant rate.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

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Local thermal nonequilibrium effect on nanofluid filled porous cavity subject to mixed convection heat transfer

Rajarathinam

Chamkha

2020

Heat Trans

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In this study, a numerical study is performed to determine the significance of local thermal nonequilibrium on mixed convection heat transfer of a copper water‐based nanofluid in an inclined porous cavity. By employing the nonequilibrium hypothesis, the governing equations for nanofluid flow in a porous medium are solved by the Semi‐Implicit Method for Pressure Linked Equation (SIMPLE) algorithm. From the obtained results, the nanofluid flow and thermal characteristics are analyzed through streamlines and isothermal plots whereas the heat‐transfer rate of the system is scrutinized via the average Nusselt number.

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“…In addition, we can see from Table 9, the increasing rate of

\overset{N u}{true}

is very high for

γ = 0^{o}

at the rate of 69.64026. From the analysis of the slope of regression method, one can note that the increase in

\overset{N u}{true}

with

ϕ

\overset{N u}{true}

is due to the high presence of shear force (

R e = 100

) and buoyancy force (

G r = 1 0^{5}

) or the Mixed convection regime.…”

Section: Numerical Results and Discussionmentioning

confidence: 88%

“…Then only can we conclude on the effectiveness of nanofluid in the present configuration setup. For this reason alone, the increasing rate of heat‐transfer rate

(S_{l p})

with nanoparticle concentration

ϕ

G r = 1 0^{4}

, it was observed that the

\overset{N u}{true}

increases by

ϕ

at the rate of 17.11105 and with increase in

G r

further, the rate of heat‐transfer rate increases with a significant rate.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

Local thermal nonequilibrium effect on nanofluid filled porous cavity subject to mixed convection heat transfer

Rajarathinam

Chamkha

2020

Heat Trans

View full text Add to dashboard Cite

show abstract

“…. [35], Animasaun et al [36], and Wakif et al [37], it is seen that the local skin frictions in the ow along x−direction and heat transfer rate decrease with rotation parameter at the rate − . and − .…”

Section: Signi Cance Of Increasing Buoyancy Forcesmentioning

confidence: 93%

Insight into the dynamics of non-Newtonian Casson fluid over a rotating non-uniform surface subject to Coriolis force

Oke

Mutuku

Kimathi

et al. 2020

Nonlinear Engineering

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Casson fluid model is the most accurate mathematical expression for investigating the dynamics of fluids with non-zero plastic dynamic viscosity like that of blood. Despite huge number of published articles on the transport phenomenon, there is no report on the increasing effects of the Coriolis force. This report presents the significance of increasing not only the Coriolis force and reducing plastic dynamic viscosity, but also the Prandtl number and buoyancy forces on the motion of non-Newtonian Casson fluid over the rotating non-uniform surface. The relevant body forces are derived and incorporated into the Navier-Stokes equations to obtain appropriate equations for the flow of Newtonian Casson fluid under the action of Coriolis force. The governing equations are non-dimensionalized using Blasius similarity variables to reduce the nonlinear partial differential equations to nonlinear ordinary differential equations. The resulting system of nonlinear ordinary differential equations is solved using the Runge-Kutta-Gills method with the Shooting technique, and the results depicted graphically. An increase in Coriolis force and non-Newtonian parameter decreases the velocity profile in the x-direction, causes a dual effect on the shear stress, increases the temperature profiles, and increases the velocity profile in the z-direction.

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“…Liao [36,37] suggested the homotopy analysis method and optimal HAM approach to get analytical solutions for non-linear differential equations. Other interesting related numerical investigations can be found in [38][39][40][41][42][43][44][45][46][47][48][49].…”

Section: Introductionmentioning

confidence: 97%

On the Cattaneo–Christov Heat Flux Model and OHAM Analysis for Three Different Types of Nanofluids

et al. 2020

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In this article, the boundary layer flow of a viscous nanofluid induced by an exponentially stretching surface embedded in a permeable medium with the Cattaneo–Christov heat flux model (CCHFM) is scrutinized. We took three distinct kinds of nanoparticles, such as alumina (Al2O3), titania (TiO2) and copper (Cu) with pure water as the base fluid. The features of the heat transfer mechanism, as well as the influence of the relaxation parameter on the present viscous nanofluid flow are discussed here thoroughly. The thermal stratification is taken in this phenomenon. First of all, the problem is simplified mathematically by utilizing feasible similarity transformations and then solved analytically through the OHAM (optimal homotopy analysis method) to get accurate analytical solutions. The change in temperature distribution and axial velocity for the selected values of the specific parameters has been graphically portrayed in figures. An important fact is observed when the thermal relaxation parameter (TRP) is increased progressively. Graphically, it is found that an intensification in this parameter results in the exhaustion of the fluid temperature together with an enhancement in the heat transfer rate. A comparative discussion is also done over the Fourier’s law and Cattaneo–Christov model of heat.

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Meta-analysis on thermo-migration of tiny/nano-sized particles in the motion of various fluids

Cited by 144 publications

References 75 publications

Local thermal nonequilibrium effect on nanofluid filled porous cavity subject to mixed convection heat transfer

Local thermal nonequilibrium effect on nanofluid filled porous cavity subject to mixed convection heat transfer

Insight into the dynamics of non-Newtonian Casson fluid over a rotating non-uniform surface subject to Coriolis force

On the Cattaneo–Christov Heat Flux Model and OHAM Analysis for Three Different Types of Nanofluids

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