Roles of nanoparticles and heat generation/absorption on MHD flow of Ag–H2O nanofluid via porous stretching/shrinking convergent/divergent channel

Mishra, Ashish; Pandey, Alok Kumar; Chamkha, Ali J.; Kumar, Manoj

doi:10.1186/s42787-020-00079-3

Cited by 46 publications

(27 citation statements)

References 30 publications

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“…The dimensionless set of flow Equations (19) to (21) along with assisted boundary conditions (22) is solved numerically implementing shooting scheme using RKF45 order technique. The description of RKF45 technique is based on a study by Mishra et al, 27 Mishra and Kumar, 39 and Makinde et al 43 The numerical process is confirmed by doing a comparison with previous findings for θ − ′(0) with different values of Pr. The comparison exhibits an excellent match (see Table 2).…”

Section: Numerical Solutionmentioning

confidence: 78%

“…The effective thermophysical properties of Ag–water nanofluid are described as follows 27,33 : Density:

ρ_{n f} = false(1 - φ false) ρ_{b f} + φ ρ_{s p} .

Specific heat capacity:

{false(ρ C_{p} false)}_{n f} = false(1 - φ false) {false(ρ C_{p} false)}_{b f} + φ {false(ρ C_{p} false)}_{s p} .

Dynamic viscosity:

μ_{n f} = {false(1 - φ false)}^{- 2.5} μ_{b f} .

Thermal conductivity:

\frac{κ_{n f}}{κ_{b f}} = \frac{false(κ_{s p} + 2 κ_{b f} false) - 2 φ false(κ_{b f} - κ_{s p} false)}{false(κ_{s p} + 2 κ_{b f} false) + φ false(κ_{b f} - κ_{s p} false)} .

…”

Section: Problem Formulationmentioning

confidence: 99%

“…[20][21][22][23][24][25][26] The effect of heat generation/absorption is associated with energy and has extremely important attributes in production and industrial procedures, for example, disassociating fluids, packed-bed bioreactors, waste storage space imports, improving the ductility of copper alloys, and in several metallographic studies. Mishra et al 27 explored the heat generation/absorption effect over a shrinkable/stretchable surface considering MHD nanofluid flow. Problem pertaining to water-based carbon nanotube flow under the effect of heat generation/absorption and thermal radiation was discussed by Hayat et al 28 For additional study of heat generation/ absorption effect under various conditions, several important studies have been highlighted in the previous literature.…”

Section: Introductionmentioning

confidence: 99%

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Thermal performance of Ag–water nanofluid flow over a curved surface due to chemical reaction using Buongiorno's model

2020

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An analysis of heat and mass transfer is carried out under the influence of chemical reaction, friction heating, and heat generation/absorption over a curved surface. The impacts of random motion attributes of nanoparticles and thermophoresis are also applied in the expressions of energy and concentration. With the help of assigned transformations, the nonlinear partial differential equations are changed to dimensionless nonlinear ordinary differential equations. Then, the numerical solution is obtained using fourth-fifth order Runge-Kutta-Fehlberg method via the shooting technique. The impacts of relevant parameters on velocity, temperature, and concentration are depicted through graphs and tables. The results illustrate that the lowest concentration distribution of nanofluid is related to the higher value of chemical reaction parameter. Moreover, it is found that thermophoresis and Brownian motion parameters have a propensity to increase the temperature profile while curvature parameter decreases the velocity profile. Also, velocity and temperature fields show a similar behavior for the increasing values of volume fraction of the nanoparticles, while a reverse trend is observed in the concentration profile under the same condition. To authenticate the results of the current study, the obtained data were compared with previously published data.

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Section: Numerical Solutionmentioning

confidence: 78%

“…The effective thermophysical properties of Ag–water nanofluid are described as follows 27,33 : Density:

ρ_{n f} = false(1 - φ false) ρ_{b f} + φ ρ_{s p} .

Specific heat capacity:

{false(ρ C_{p} false)}_{n f} = false(1 - φ false) {false(ρ C_{p} false)}_{b f} + φ {false(ρ C_{p} false)}_{s p} .

Dynamic viscosity:

μ_{n f} = {false(1 - φ false)}^{- 2.5} μ_{b f} .

Thermal conductivity:

\frac{κ_{n f}}{κ_{b f}} = \frac{false(κ_{s p} + 2 κ_{b f} false) - 2 φ false(κ_{b f} - κ_{s p} false)}{false(κ_{s p} + 2 κ_{b f} false) + φ false(κ_{b f} - κ_{s p} false)} .

…”

Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Thermal performance of Ag–water nanofluid flow over a curved surface due to chemical reaction using Buongiorno's model

2020

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“…Boundary conditions of the model are Now, q ′′′ is defined as where Q and Q 0 are internal heat source parameters. The theoretical model for nanofluid transport is defined as follows [11,18,[32][33][34]:…”

Section: Mathematical Formulationmentioning

confidence: 99%

Melting heat transfer assessment on magnetic nanofluid flow past a porous stretching cylinder

2021

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The assessment of melting heat transfer and non-uniform heat source on magnetic Cu–H2O nanofluid flow through a porous cylinder was studied. The transformed differential equations describing the motion of Cu–H2O fluid together with pertinent boundary conditions were handled numerically with the assistance of Keller box method. The ranges of volume fraction of copper particles were taken as 0–25%. The impacts of various governing parameters on the physical measures such as Nusselt number, surface drag force, temperature and velocity were analyzed by representing through graphs and tables. It was noted that the flow was influenced accordingly with the governing parameters. The outcomes showed that the rate of heat exchange improved with elevated Reynolds number, space and temperature-dependent internal heat source and melting parameters. The comparison of our data in relation to those of previous works has been shown.

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“…The skin-friction coefficient at the wall of the channel is represented by the mathematical expression C f as 33 :…”

Section: Mathematical Formulation and Flow Configurationmentioning

confidence: 99%

Heat transfer attributes of MoS2/Al2O3 hybrid nanomaterial flow through converging/diverging channels with shape factor effect

Hafeez

Sajjad

Hashim

2021

Advances in Mechanical Engineering

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The energy transport for hybrid nanofluids flow through non-parallel surfaces with converging/diverging nature is becoming important engineering topics because of its occurrence in biomedicine, cavity flow model and flow through canals, etc. Therefore, this work attempted to study the momentum and heat transport for MHD Jeffery-Hamel flow of hybrid nanofluids through converging/diverging surfaces. This analysis further evaluates the heat transport features subject to thermal radiation and nanoparticles shape factor impacts. A mathematical formulation under single phase nanofluid model with modified thermophysical properties has been carried out. The leading equations are transmuted into dimensionless form with the implementation of appropriate scaling parameters. The collocated numerical procedure coded in MATLAB is employed to acquire the numerical solutions for governing coupled non-linear differential problem. Multiple branches (first and second) are simulated for flow and temperature fields with varying values of involved physical parameters in case of convergent channel. The studies revealed that there is a significant rise in fluid velocity for higher magnetic parameter in case of divergent channel. The findings reveal that the skin-friction coefficient (drag) significantly reduces with higher Reynolds number. In addition, the heat transfer rate enhances with channel angle as well as nanoparticles volume fraction in upper branches.

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Roles of nanoparticles and heat generation/absorption on MHD flow of Ag–H2O nanofluid via porous stretching/shrinking convergent/divergent channel

Cited by 46 publications

References 30 publications

Thermal performance of Ag–water nanofluid flow over a curved surface due to chemical reaction using Buongiorno's model

Thermal performance of Ag–water nanofluid flow over a curved surface due to chemical reaction using Buongiorno's model

Melting heat transfer assessment on magnetic nanofluid flow past a porous stretching cylinder

Heat transfer attributes of MoS2/Al2O3 hybrid nanomaterial flow through converging/diverging channels with shape factor effect

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