Heat and mass transfer of generalized fourier and Fick's law for second-grade fluid flow at slendering vertical Riga sheet

Shatanawi, Wasfı; Abbas, Nadeem; Shatnawi, Taqi A. M.; Hasan, Fady

doi:10.1016/j.heliyon.2023.e14250

Cited by 26 publications

(6 citation statements)

References 42 publications

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“…Khan et al [14] elucidated the flow of non-Newtonian micropolar fluid past a nonlinearly stretched cylinder. Shatnawi et al [15] discussed the heat and mass transmission for second-grade non-Newtonian fluid flow through a vertical slandering Riga sheet. The Casson material model is one of the most renowned non-Newtonian fluid models which can report the yield stress and Casson fluid is a shear-thinning fluid.…”

Section: Introductionmentioning

confidence: 99%

Transformer oil‐based Casson ternary hybrid nanofluid flow configured by a porous rotating disk with hall current

Paul,

Patgiri,

Sarma

2024

Z Angew Math Mech

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The present work examines the 3D, incompressible, magnetohydrodynamic, mixed convective, and Darcy‐Forchheimer Casson /transformer oil ternary hybrid nanofluid flow configured by a porous rotatory disk. This research work takes into account the influences of hall current, thermophoresis, heat absorption/generation, Brownian motion, joule heating, chemical reaction, thermal radiation, activation energy, and velocity slip condition. The administrative partial differential equations (PDEs) that expound the problem are modified into a set of ordinary differential equations (ODEs) by imposing a similarity conversion, which is further solved numerically by adapting the worthy bvp4c scheme. The velocity, thermal, and mass profiles are delineated through graphs, and the features of skin friction coefficient, heat, and mass transmission are also explicated thoroughly via tables. One significant observation of this research is that the Casson parameter weakens transversal velocity whereas a reverse tendency is noticed against the radial velocity. Our obtained outputs affirm that Casson ternary hybrid nanofluid has respectively 10.93 % and 8.86% higher heat deliverance rate when compared to Casson nanofluid and Casson hybrid nanofluid. Besides, the Casson ternary hybrid nanofluid has respectively 33.68 % and 27.52% higher mass deliverance rate when compared to the Casson nanofluid and Casson hybrid nanofluid. Also, the sturdy values of the Casson parameter lessen the skin friction coefficient. The inferences derived from our research may advantageously be used in rotating types of machinery, medical equipment, gas turbine rotators, etc.

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Section: Introductionmentioning

confidence: 99%

Transformer oil‐based Casson ternary hybrid nanofluid flow configured by a porous rotating disk with hall current

Paul,

Patgiri,

Sarma

2024

Z Angew Math Mech

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“…However, another equally critical aspect is the ability to quantify the uncertainty associated with these predictions [ 1 , 2 ]. Uncertainty quantification (UQ) plays a crucial role in situations in which confident and reliable predictions are essential, such as medical diagnosis [ 2 ], autonomous systems [ 3 ], physics [ [4] , [5] , [6] ], and material science [ [7] , [8] , [9] , [10] ]. Even though traditional deep learning methods can perform well and even achieve state-of-the-art results, they often fail to determine the uncertainties associated with models and data.…”

Section: Introductionmentioning

confidence: 99%

Leveraging Bayesian deep learning and ensemble methods for uncertainty quantification in image classification: A ranking-based approach

Abdullah,

Hassan,

Mustafa

2024

Heliyon

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“…Such as, Khan et al [28][29][30] discussed the gyrotactic microbes and nanofluid flow in spinning systems with the impact of Darcy permeable medium and came to the conclusion that the density of gyrotactic microbes is increased by rising values of Peclet number is decreased with enhancing values of Schmidt number. Shatanawi et al [31] have used the bvp4c package to analyze the fluid flow subject to Hall current. Due to the magnetic and Hall effect, the velocity curve of the fluid flow declines.…”

Section: Introductionmentioning

confidence: 99%

“…Shatanawi et al. [31] have used the bvp4c package to analyze the fluid flow subject to Hall current. Due to the magnetic and Hall effect, the velocity curve of the fluid flow declines.…”

Section: Introductionmentioning

confidence: 99%

Numerical calculation of unsteady MHD nanofluid flow across two fluctuating discs with chemical reaction and zero mass flux

Alqahtani,

Bilal,

Ali

et al. 2023

Z Angew Math Mech

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The fluid flow across spinning discs has several applications in different fields of engineering such as flywheels, gas turbine engines, brakes, and gears. The significance of heat source, Hall current, and magnetic field on the nanofluid flow between two spinning disks is studied in the present analysis. The upper disk spins as well as rotates, which generates the 3D flow. The evaluation and modeling of the mass density, flow motion, and energy transfer are performed using a system of partial differential equations (PDEs). The computational technique parametric continuation method (PCM) is employed to solve the modeled equations. The outcomes are relatively compared to the published literature for validity purposes. It has been noticed that during the downward motion of the upper disc, the effect of the magnetic field declines, while the influence of the hall current improves the velocity field. The temperature field rises with the ascending motion of the upper disk, whereas it shrinks with the downhill oscillation. Moreover, the mass diffusion ratio develops with the impact of hall current, while lessens with the influence of chemical reaction.

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Heat and mass transfer of generalized fourier and Fick's law for second-grade fluid flow at slendering vertical Riga sheet

Cited by 26 publications

References 42 publications

Transformer oil‐based Casson ternary hybrid nanofluid flow configured by a porous rotating disk with hall current

Transformer oil‐based Casson ternary hybrid nanofluid flow configured by a porous rotating disk with hall current

Leveraging Bayesian deep learning and ensemble methods for uncertainty quantification in image classification: A ranking-based approach

Numerical calculation of unsteady MHD nanofluid flow across two fluctuating discs with chemical reaction and zero mass flux

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