Heat and Mass Transfer in an Unsteady Second Grade Nanofluid with Viscous Heating Dissipation

Oloniiju, Shina D.; Goqo, Sicelo P.; Sibanda, Precious

doi:10.1142/s021987621940005x

Cited by 10 publications

(6 citation statements)

References 23 publications

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“…The axial and normal components velocity, pressure distribution, and temperature in the filter chamber were obtained using the numerical scheme described in Equation (24). Unless otherwise stated in the figures or discussion in Section 4, we used the following parameter values to compute the numerical solutions: .…”

Section: Methods Of Solutionmentioning

confidence: 99%

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Analysis of pressure and heat distribution in a dilating or contracting filter chamber with two outlets using multivariate spectral quasilinearization method

2021

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The development of efficient filters is an essential part of industrial machinery design, specifically to increase the lifespan of a machine. In the filter chamber design considered in this study, the magnetic material is placed along the horizontal surface of the filter chamber. The inside of the filter chamber is layered with a porous material to restrict the outflow of unwanted particles. This study aims to investigate the flow, pressure, and heat distribution in a dilating or contracting filter chamber with two outlets driven by injection through a permeable surface. The proposed model of the fluid dynamics within the filter chamber follows the conservation equations in the form of partial differential equations. The model equations are further reduced to a steady case through Lie's symmetry group of transformation. They are then solved using a multivariate spectral-based quasilinearization method on the Chebyshev-Gauss-Lobatto nodes. Insights and analyses of the thermophysical parameters that drive optimal outflow during the filtration process are provided through the graphs of the numerical solutions of the differential equations. We find, among other results, that expansion of the filter chamber leads to an overall decrease in internal pressure and an increase in heat distribution inside the

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Section: Methods Of Solutionmentioning

confidence: 99%

“…Additional studies in which spectral-based linearization methods have been applied to understand the dynamics of heat and mass transfer problems include, but are not limited to. [24][25][26][27][28] In each of these studies, the technique was reported to be accurate.…”

Section: Introductionmentioning

confidence: 99%

Analysis of pressure and heat distribution in a dilating or contracting filter chamber with two outlets using multivariate spectral quasilinearization method

2021

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“…Due to this enhancement, the fluid exhibits unique properties, which facilitate heat and mass transfer. Since the pioneering study of the nanofluid model by Choi and Eastman, 1 an increasing number of studies have been carried out on this class of the fluid, such as Abbas et al, 2 Goqo et al, 3 Oloniiju et al, 4 and Oyelakin et al 5 …”

Section: Introductionmentioning

confidence: 99%

“…Since the pioneering study of the nanofluid model by Choi and Eastman, 1 an increasing number of studies have been carried out on this class of the fluid, such as Abbas et al, 2 Goqo et al, 3 Oloniiju et al, 4 and Oyelakin et al 5 Hybrid nanofluids are fluids that contain two or more nanoparticles added to pure fluids. They are mostly used in heat transfer apparatuses such as air conditioning systems, exchanger, heat sink, and plates.…”

Section: Introductionmentioning

confidence: 99%

Numerical and machine learning analyses of entropy generation in an unsteady squeezing flow of copper/aluminum oxide/water hybrid nanofluid

et al. 2021

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Several studies have been carried out on the squeezing flow of mono‐nanofluids. However, this study investigates numerical and machine learning analyses of entropy generated in an unsteady squeezing flow of a copper–aluminum oxide/water hybrid nanofluid. Numerical analysis and the flow model simulation are done using the hybridization of Chebyshev pseudospectral and quasilinearization methods. The results show that the magnetic force is the most significant in the entropy generation number. A support vector machine learning model is introduced to calculate the average entropy generation number. The machine learning model's accuracy is measured using known performance metrics of regression models. The root mean square error is obtained as 4.1184, the mean absolute error as 1.8776, and the coefficient of determination ( R 2) as 0.995. Furthermore, the Hartman and Eckert numbers are identified to be highly positively correlated to the entropy generation number. However, for increasing values of the Hartman number, the temperature distribution between the two parallel plates decreases. We found that the temperature of copper/aluminum oxide/water nanofluid is greater than that of copper/water nanofluid, and the percentage difference between the temperature at the lower plate is estimated to be between 6% and 9% for H a ∈ [ 0 , 25 ].

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“…The single-domain BSQLM was introduced by Motsa et al 39 and used in solving nonlinear evolution partial differential equations (PDEs). Subsequently, the method has been employed by several researchers [40][41][42][43][44] in solving boundary layer flow problems. The singledomain BSQLM method uses quasilinearization technique, 45 the Chebyshev spectral collocation method, as well as the bivariate Lagrange interpolation polynomial with Chebyshev-Gauss-Lobatto grid points.…”

Section: Introductionmentioning

confidence: 99%

MHD mixed convective radiative flow of Eyring‐Powell fluid over an oscillatory stretching sheet using bivariate spectral method on overlapping grids

2020

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The bivariate spectral quasilinearization method (BSQLM) on overlapping grids is presented and applied in the analysis of unsteady magnetohydrodynamic mixed convection flow of Eyring-Powell fluid over an oscillatory stretching sheet embedded in a non-Darcy porous medium with nonlinear radiative heat flux and variable thermophysical properties. The fluid properties, namely the fluid viscosity, thermal conductivity, and mass diffusivity, are assumed to vary with temperature. It is assumed that the first-order chemical reaction with heat generation/absorption takes place in the flow. The flow domain is subject to uniform transverse magnetic field perpendicular to the stretching surface. The transformed flow equations are solved numerically using BSQLM on overlapping grids. The convergence properties and accuracy of the method are assessed. The proposed method is computationally efficient, and it gives stable and highly accurate results after few iterations and using few grid points in each subinterval. The improved accuracy rests upon the use of the overlapping grid, which produces sparse coefficient matrices that are easy to invert and have small condition numbers. The effects of physical parameters on the flow fields, local skin friction, the

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Heat and Mass Transfer in an Unsteady Second Grade Nanofluid with Viscous Heating Dissipation

Cited by 10 publications

References 23 publications

Analysis of pressure and heat distribution in a dilating or contracting filter chamber with two outlets using multivariate spectral quasilinearization method

Analysis of pressure and heat distribution in a dilating or contracting filter chamber with two outlets using multivariate spectral quasilinearization method

Numerical and machine learning analyses of entropy generation in an unsteady squeezing flow of copper/aluminum oxide/water hybrid nanofluid

MHD mixed convective radiative flow of Eyring‐Powell fluid over an oscillatory stretching sheet using bivariate spectral method on overlapping grids

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