Endoscopy applications for the second law analysis in hydromagnetic peristaltic nanomaterial rheology

Awais, Muhammad; Shoaib, Mohammed; Raja, Muhammad Asif Zahoor; Arif, Saba; Malik, M.Y.; Nisar, Kottakkaran Sooppy; Ismail, Khadiga Ahmed

doi:10.1038/s41598-022-04945-1

Cited by 11 publications

(2 citation statements)

References 38 publications

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“…Awais et al 37 presented solution methodology based on artificial neural network for MHD non-Newtonian fluid flow problem through stretching sheet. Awais et al 38 discussed peristaltic motion with magnetic field and entropy generation with addition of copper as nanoparticle and water as base fluid.…”

Section: Introductionmentioning

confidence: 99%

Thermal enhancement and numerical solution of blood nanofluid flow through stenotic artery

Sarwar

Hussain

Fernández-Gámiz

et al. 2022

Sci Rep

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The blood flow through stenotic artery is one of the important research area in computational fluid mechanics due to its application in biomedicine. Aim of this research work is to investigate the impact of nanoparticles on the characteristics of human blood flow in a stenosed blood artery. In under consideration problem Newtonian fluid is assumed as human blood. Newtonian fluid flows through large blood vessels (more than 300 μm). The constitutive equations together with the boundary conditions are diminished to non-dimensional form by using boundary layer approximation and similarity transfiguration to attain the solution of velocity and temperature distribution of blood flow through arterial stenosis numerically with the help of Matlab bvp4c. The results for physical quantities at cylindrical surface are calculated and their effects are also presented through tables. The heat transfer rate increases throughout the stenosed artery with the concentration of copper nanoparticle. Velocity curve decreases by increasing the values of flow parameter and nanoparticle volume fraction. Temperature curve increases due to increase in the values of nanoparticle volume fraction and decrease in Prandtl number.

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Section: Introductionmentioning

confidence: 99%

Thermal enhancement and numerical solution of blood nanofluid flow through stenotic artery

Sarwar

Hussain

Fernández-Gámiz

et al. 2022

Sci Rep

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“…Fluidic models [ [25] , [26] , [27] , [28] , [29] , [30] ], Dioxygenase Gene [ 31 ], smoking model [ 32 ], cantilever piezoelectric-mechanical [ 33 ], plant virus [ 34 ], Stuxnet virus [ 35 ] and COVID-19 model [ 36 ] are some recent work of ANNs. The numerical and artificial neural network simulation of unsteady hydromagnetic Williamson fluid flow in a radiative surface was investigated by Shafiq, A., et al [ 37 ].…”

Section: Introductionmentioning

confidence: 99%

Variational iteration method along with intelligent computing system for the radiated flow of electrically conductive viscous fluid through porous medium

Shoaib¹,

Shah²,

Nisar³

et al. 2023

Heliyon

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Irreversibility analysis of Eyring Powell nanofluid flow in curved porous channel

Sami‐Ul‐Haq,

Ashraf

2024

Z Angew Math Mech

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The aim of this study is to minimize entropy in the MHD Eyring‐Powell fluid through a semi‐porous curved channel. The flow phenomena are examined under the consideration of joule heating, viscous heating, thermophoresis, and Brownian motion. The motivation of this research is to minimize entropy production in curved porous channel because thermal systems become more efficient as a result of decreased energy consumption, operational expenses, and experimental costs. This approach is useful in designing industrial equipment that requires efficient thermal management, such as fuel cells, chemical processing, and advanced refrigeration systems. The coupled boundary layer equations of the problem are highly nonlinear PDEs, which are transformed into systems of coupled ODEs by using similarity variables. The solution of a coupled system of ODEs is obtained numerically via Bvp4c. The effect of several physical parameters for entropy analysis, Bejan number, concentration, and velocity/temperature are illustrated and analyzed using graphs. Furthermore, the computational outcomes of physical quantities, for example, heat and mass transfer rate are also presented. Results indicated that the increasing value of the Reynolds number increases the entropy generation rate, while the reverse tendency is noticed for the Eyring‐Powell parameter. The rising values of the Brownian parameter increase the Bejan number after its decrease, while reverse behavior is observed for the thermophoresis parameter.

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Endoscopy applications for the second law analysis in hydromagnetic peristaltic nanomaterial rheology

Cited by 11 publications

References 38 publications

Thermal enhancement and numerical solution of blood nanofluid flow through stenotic artery

Thermal enhancement and numerical solution of blood nanofluid flow through stenotic artery

Variational iteration method along with intelligent computing system for the radiated flow of electrically conductive viscous fluid through porous medium

Irreversibility analysis of Eyring Powell nanofluid flow in curved porous channel

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