Dynamics of radiative Eyring-Powell MHD nanofluid containing gyrotactic microorganisms exposed to surface suction and viscosity variation

Khan, Naseer M.; Abidi, Awatef; Khan, İlyas; Alotaibi, Fakhirah; Alghtani, Abdulaziz H.; Aljohani, M.A.; Galal, Ahmed M.

doi:10.1016/j.csite.2021.101659

Cited by 11 publications

(5 citation statements)

References 37 publications

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“…16 . This outcome is consistent with an early one 55 . In fact, the Schmidt numeral denotes the ratio of momentum to mass diffusivity, then the collective mass of microorganisms dissolves with the rise of and hence decreases, as seen from Fig.…”

Section: Resultssupporting

confidence: 88%

Peristaltic transport of Rabinowitsch nanofluid with moving microorganisms

Moatimid

Mohamed

Elagamy

2023

Sci Rep

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The key objective of the current examination is to examine a symmetrically peristaltic movement of microorganisms in a Rabinowitsch fluid (RF). The Boussinesq approximation, buoyancy-driven flow, where the density with gravity force term is taken as a linear function of heat and concentrations, is kept in mind. The flow moves with thermophoretic particle deposition in a horizontal tube with peristalsis. The heat distribution and volume concentration are revealed by temperature radiation and chemical reaction characteristics. The originality of the existing study arises from the importance of realizing the benefits or the threats that nanoparticles, microbes, and bacteria cause in the flow inside peristaltic tubes. The results are an attempt to understand what factors perform additional advantages and or reduce damages. The controlling nonlinear partial differential equations (PDEs) are made simpler by employing the long wavelength (LWL) and low-Reynolds numeral (LRN) approximations. These equations are subjected to a set of non-dimensional transformations that result in a collection of nonlinear ordinary differential equations (ODEs). By employing the Homotopy perturbation method (HPM), the configuration of equational analytical solutions is examined. Analytical and graphical descriptions are provided for the distributions of axial speed, heat, microbes, and nanoparticles under the influence of these physical characteristics. The important findings of the current work may help to comprehend the properties of several variations in numerous biological situations. It is found that the microorganisms condensation decays with the rise of all the operational parameters. This means that the development of all these factors benefits in shrinking the existence of harmful microbes, viruses, and bacteria in the human body’s peristaltic tubes, especially in the digestive system, and large and small intestines.

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Section: Resultssupporting

confidence: 88%

Peristaltic transport of Rabinowitsch nanofluid with moving microorganisms

Moatimid

Mohamed

Elagamy

2023

Sci Rep

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“…The succeeding parameter collection of adjustments are produced by integrating (22) the conversion into the scaling (16).…”

Section: Discussionmentioning

confidence: 99%

“…Hammed et al [15] analysis of the Lie group for the motion of an MHD Powell-Eyring nanofluid through a vertical plate with a convective surface and a Dufour-Soret impact. Khan et al [16] investigated the Dynamics of an exposed surface suction and viscosity change radiative Eyring-Powell MHD nanofluid with gyrotactic microorganisms. Salman et al [17] investigated that Carreau concluded that the Nusselt number behaves oppositely to the field of temperature as the variable thermal conductivity is increased, in his work, Using MHD Double-Diffusive, Fluid Flow Through a Porous Medium with Variable Thermal Conductivity and Suction/Injection.…”

Section: Introductionmentioning

confidence: 99%

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Artificial neural network of thermal Buoyancy and Fourier flux impact on suction/injection‐based Darcy medium surface filled with hybrid and ternary nanoparticles

Dinesh Kumar,

Siva Krishnam Raju,

El‐Zahar

et al. 2024

Z Angew Math Mech

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This study's main objective is to analyze the heat and velocity transfer rate with various effects such as the suction and buoyancy effects on a stretching sheet with ternary hybrid nanofluid flow via a porous medium. Ternary hybrid nanofluid is Case‐1 Ag‐TiO2 with base fluid H2O and Case‐2 CNT + Graphene + Al2O3 with base fluid H2O. Hybrid nanofluids have been used to speed up the heat transfer process, following Lie group transformations are used to transform non‐linear Partial Differential Equations (PDEs) into Ordinary Differential Equations (ODEs). The boundary value problem solver was used in conjunction with the ODE45 numerical approach to solve the resulting Ordinary differential equations. On a stretchy surface, the overall relationship between temperature, velocity, shear stress, and heat transfer rate are shown for a range of values of the significant factors. The temperature profiles have been rising with the impact of Da and fw. Utilizing streamlines and a machine learning technique to examine the flow pattern of a fluid. Artificial neurons or nodes make up a neural network, which is known as a neural network in the sense that the term is used today. A network or circuit of biological neurons is referred to as a neural network.

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“…Thus, even though the structure of this model is more complex, it is more beneficial. Prior studies that have utilized this model are the magnetically influenced Powell-Eyring Cu-MeOH and GO-MeOH flow, Powell-Eyring Cu-Al2O3/H2O and Cu/H2O flow, MHD Powell-Eyring nano-liquid flow over a contracting wedge, Powell-Eyring fluid flow on a stretched plate, gyrotactic microorganisms in the Powell-Eyring fluid while considering radiation and suction effects, and C71500-Ti6Al4V/ C2H6O2−H2O fluid on a vertical plate with a heat source [15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Analysis of GO-MoS2/EG Powell-Eyring Fluid Transportation in Stagnation Point Flow and Heat Transfer over a Shrinking Surface

Nur Aisyah Aminuddin,

Nor Ain Azeany Mohd Nasir,

Norli Abdullah

et al. 2024

ARFMTS

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Using ethylene glycol as the base fluid, nanomaterials graphene oxide (GO) and molybdenum disulfide (MoS2) are disseminated into the fluid. The heat transfer behaviour of a non-Newtonian Powell-Eyring fluid hybrid nanofluid is evaluated together with several effects such as magnetic, suction and radiation. Ordinary differential equations (ODEs) are acquired by deriving the mathematical model in partial differential equations (PDEs) with suitable similarity transformations. The formulas are numerically estimated with the assistance of the bvp4c solver in MATLAB. The impact of parameter effects on the skin friction coefficient, local Nusselt number, entropy generation, velocity profile and temperature profile are reviewed and discussed. The aftermath revealed that skin friction and suction effects are elevated along the magnetic field. The rate of heat transmission is enhanced by improving the value of the suction parameter. Magnetic field, Eckert number and suction boosted entropy over the shrinking plate.

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Dynamics of radiative Eyring-Powell MHD nanofluid containing gyrotactic microorganisms exposed to surface suction and viscosity variation

Cited by 11 publications

References 37 publications

Peristaltic transport of Rabinowitsch nanofluid with moving microorganisms

Peristaltic transport of Rabinowitsch nanofluid with moving microorganisms

Artificial neural network of thermal Buoyancy and Fourier flux impact on suction/injection‐based Darcy medium surface filled with hybrid and ternary nanoparticles

Analysis of GO-MoS2/EG Powell-Eyring Fluid Transportation in Stagnation Point Flow and Heat Transfer over a Shrinking Surface

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