Entropy generation analysis for peristaltically driven flow of hybrid nanofluid

Zahid, Usman; Akbar, Yasir; Abbasi, F. M.

doi:10.1016/j.cjph.2020.07.009

Cited by 64 publications

(35 citation statements)

References 33 publications

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“…In the future, the design computing spline swarm paradigm CSA-GA-SQP is a promising alternative numerical solver to be implemented for the solution of stiff nonlinear systems representing the complex scenarios of computational fluid dynamics problems [63][64][65][66][67][68][69][70].…”

Section: Discussionmentioning

confidence: 99%

Design of Spline–Evolutionary Computing Paradigm for Nonlinear Thin Film Flow Model

2021

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A novel design of stochastic numerical computing method is introduced for computational fluid dynamics problem governed with nonlinear thin film flow (TFF) system by exploiting the competency of polynomial splines for discretization and optimization with evolutionary computing aided with brilliance of local search. The TFF model of second grade fluid is represented with nonlinear second-order differential system. The aim of the present work is to exploit the cubic spline approach (CSA) to transform the differential equations for TFF model into an equivalent set of nonlinear equations. The approximation in mean squared error sense is introduced for the formulation of cost function for solving the nonlinear system of equations representing TFF model. The optimization of the decision variables of the cost function is carried out with global search efficacy of evolution by genetic algorithms (GAs) integrated with sequential quadratic programming (SQP) for speedy adjustments. The designed spline-evolutionary computing paradigm, CSA-GA-SQP, is evaluated for different scenarios of TFF model by variation of second grade and magnetic parameters, as well as variation in the length of splines. Results endorsed the worth of CSA-GA-SQP solver as an efficient alternative, reliable, stable, and accurate framework for the variants of nonlinear TFF systems on the basis of multiple autonomous executions. The design computing spline paradigm CSA-GA-SQP is a promising alternative numerical solver to be implemented for the solution of stiff nonlinear systems representing the complex scenarios of computational fluid dynamics problems.

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Section: Discussionmentioning

confidence: 99%

Design of Spline–Evolutionary Computing Paradigm for Nonlinear Thin Film Flow Model

2021

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“…Magnetohydrodynamics (MHD) nanomaterial flow with a non-Fourier heat flux model is examined by Khan et al (Khan et al , 2020). Zahid et al (Zahid et al , 2020) investigated the peristaltic flow of hybrid nanomaterial. Hosseini and Ghasemian (Hosseini et al , 2019) analyzed the MHD flow of nanofluids with heat generation and entropy production.…”

Section: Introductionmentioning

confidence: 99%

Numerical study of melting heat transfer in stagnation-point flow of hybrid nanomaterial (MWCNTs+Ag+kerosene oil)

Hayat

Muhammad

Alsaedi

2021

HFF

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Purpose The purpose of this study is to analyze hybrid nanofluid (MWCNTs+Ag+Kerosene oil) over a stretched cylinder. Flow analysis is carried out in presence of stagnation-point. Features of heat transport are examined via melting conditions. Design/methodology/approach Governed expression (partial differential equations) for flow and heat transfer are transmitted into ordinary differential equations (ODEs) via applying adequate transformations. For solutions development shooting method (bvp4c) is used on these non-linear coupled ODEs. Findings Comparative observation among hybrid nanofluid (MWCNTs+Ag+Kerosene oil), basefluid (kerosene oil) and nanofluid (MWCNTs+Kerosene oil) are performed. Influences of physical parameters on heat transfer rate, velocity, skinfriction coefficient and temperature are visualized graphically. Higher values nanoparticle volume fractions, curvature parameter, melting parameter and velocity ratio parameter lead to intensification in the velocity profile. The temperature of the fluid reduces with higher values nanoparticle volume fractions, curvature parameter and melting parameter. The surface friction coefficient is minimized via a higher melting parameter and velocity ratio parameter. Heat transmission rate intensifies with velocity ratio parameter, nanoparticle volume friction and curvature parameter while it reduces gradually with larger melting parameter. During comparative study performance of hybrid nanomaterial (MWCNTs+Ag+Kerosene oil) is outstanding and is proceeded by nanomaterial (MWCNTs+ Kerosene oil) and basefluid (kerosene oil). Originality/value In the presented study authors have analyzed the flow of hybrid nanomaterial (MWCNTs+Ag+Kerosene oil) by a stretching cylinder. The further cylinder is subjected to stagnation point and melting condition. The authors believe that all the consequences of the presented study and numerical technique (bvp4c) are original and not published before.

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“…Farooq et al 28 described the variable features in magnetohydro peristalsis with irreversibility analysis. Zahid et al 29 explored the entropy impacts in hybrid nanoliquid under the phenomenon of peristalsis. Hayat et al 30 explained the entropy features in peristaltic transport of non-Newtonian liquid with varying thermal conductivity.…”

Section: Introductionmentioning

confidence: 99%

Irreversibility effects in peristaltic transport of hybrid nanomaterial in the presence of heat absorption

Sheriff

Ahmad

Mir

2021

Sci Rep

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The nano heat transport has gained much significance in recent era. The micro-level devices are enganged succssfully in diverse fields like electronics, biomedical, navel structures, manufacturing, transportation, and automotive industries in order to improve the heat transfer for cooling and heating. Owing to this fact, the current article illustrates the features of irreversibility and thermal jump in peristaltic transport of hybrid nanoliquid. Here, water is used as base liquid while nanoparticles include polystyrene and graphene oxide. The flow is carried out in a non-uniform channel where the walls of channel flexible nature. Additionally, magnetic field impacts on flow and Joule heating analysis are examined. The aspect featuring heat absorption is introduced. Nanoparticle's shapes effect is also incorporated in flow analysis. Under the consideration of small Rynold number and long wavelength, the relevent equations are reduced by implementing non-dimensional variables. Involved pertinent parameters influence the peristaltic flow characteristics are displayed graphically and discussed concisely. The result indicates that temperature curves are dominant for pure water as compared to P/water nanofluid and P-GO/water hybrid nanofluid. Moreover, the convergent channel shows least entropy effects and extreme effects are noted for divergent case whereas uniform channel stays behind the divergent one.

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Entropy generation analysis for peristaltically driven flow of hybrid nanofluid

Cited by 64 publications

References 33 publications

Design of Spline–Evolutionary Computing Paradigm for Nonlinear Thin Film Flow Model

Design of Spline–Evolutionary Computing Paradigm for Nonlinear Thin Film Flow Model

Numerical study of melting heat transfer in stagnation-point flow of hybrid nanomaterial (MWCNTs+Ag+kerosene oil)

Irreversibility effects in peristaltic transport of hybrid nanomaterial in the presence of heat absorption

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