Entropy Generation Analysis for Magnetohydrodynamic Peristaltic Transport of Copper-Water Nanofluid in a Tube Filled With Porous Medium

Das, S.; Chakraborty, Subhajit; Sensharma, Ankur; Jana, R. N.

doi:10.1615/specialtopicsrevporousmedia.v9.i3.20

Cited by 4 publications

(3 citation statements)

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“…Effects of physical parameters such as Rayleigh number, Darcy number, inclination angles, dimensionless porous substrate thickness, wall surface emissivity, and surface radiation heat transfer rate were examined. Das et al (2018) reported an analysis of entropy generation due to the peristaltic flow of magnetohydrodynamic (MHD) copper-water nanofluid in a tube filled with a porous medium under long wavelength and low-Reynolds number assumptions. The results revealed that the axial velocity and temperature of nanofluid are decreasing functions of a magnetic parameter.…”

Section: Mixed Convection Heat Transfermentioning

confidence: 99%

Nanofluid Transport in Porous Media: A Review

Menni

Chamkha²,

Aberqi

2019

Special Topics Rev Porous Media

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Convection heat transfer mode is the principal topic in thermal transfer. So, it is the matter of many numerical and experimental studies. In recent years, much attention was given to the use of free/forced/mixed convection heat transfer with nanofluids in geothermal engineering, storage of radioactive nuclear waste, solar collectors, transpiration cooling, performance of cold storage, separation processes in chemical industries, thermal insulation of buildings, filtration, space technology, transport processes in aquifers, nuclear reactor cooling system, groundwater pollution, underground nuclear wastes disposal, geothermal extraction, and fiber insulation, etc, and many researches were reported in this topic. This paper presents a detailed review of the numerical and experimental studies carried out by various researchers in order to obtain enhanced heat transfer in free, forced, and mixed convection by using nanofluids in porous media. Critical information of all studies in three categories (analytical, experimental. and numerical) has been collected.

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Section: Mixed Convection Heat Transfermentioning

confidence: 99%

Nanofluid Transport in Porous Media: A Review

Menni

Chamkha²,

Aberqi

2019

Special Topics Rev Porous Media

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“…Akbar and Butt 31 presented an irreversibility analysis for the peristaltic transportation of H 2 O‐based nanofluid produced by beat transfer and fluid friction. Irreversibility due to the peristaltic motion of MHD Cu–H 2 O nanofluid via a tube packed in a porous space was described by Das et al 32 In that study, the authors utilize lubrication assumptions to simplify governing equations. Gul et al 33 investigated mixed convection peristaltic movement of an electrically conducting

BN ‐ EG

nanofluid simultaneous effects of Hall currents, and thermal radiations in mixed convective peristaltic motion of nanofluid with irreversibility were presented by Akbar et al 34 Recently, entropy generation analysis for nanofluid movement induced by the peristalsis is reported by Akbar and Abbasi 35 .…”

Section: Introductionmentioning

confidence: 99%

Irreversibility analysis of nanofluid flow induced by peristaltic waves in the presence of concentration‐dependent viscosity

Akbar

Abbasi

2021

Heat Trans

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The present study employs irreversibility analysis for the peristaltic movement of a nanofluid. The viscosity of the nanofluid is assumed to vary with the local concentration of colloidal particles. Impacts of thermophoresis, magnetic field, Brownian motion, Ohmic heating, viscous dissipation, and buoyant forces are considered in the flow analysis. Equations representing the flow and heat/mass transfer are prepared by employing Buongiorno's model for nanofluids. The lubrication approach is used to simplify the governing equations. The resulting system of differential equations is numerically solved with the aid of NDSolve in Mathematica. Results for entropy generation, Bejan number, velocity, temperature, and concentration are graphically presented. Outcomes show that entropy generation and temperature reduce by increasing the values of viscosity parameter. By increasing buoyancy forces due to temperature difference, the entropy generation increases, whereas the concentration profile shows a decreasing behavior. Maximum velocity reduces with an increment in the Hartman number.

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“…Divya et al 42 studied peristalsis of Jeffrey model with concentration and heat transfer to analyze the vacillating fluid characteristics and magnetic effects. Entropy generation for MHD peristalsis of water‐copper nanofluid through porous channel was investigated by Das et al 43 Eldabe et al 44 introduced a semianalytic method to determine the solutions of MHD peristalsis of pseudo‐plastic nanofluid inside a permeable enclosure. Ramesh and Devakar 45 established and discussed the results for peristalsis of MHD Walter B model and heat transfer through asymmetric porous channel by implementing perturbation method.…”

Section: Introductionmentioning

confidence: 99%

Magnetohydrodynamic mixed convective peristaltic slip transport of carbon nanotubes dispersed in water through an inclined channel with Joule heating

et al. 2020

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Carbon nanotubes are considered to be the latest nanotechnology innovation because of their remarkable physical and mechanical properties. Recently, researchers have shown great interest in the peristaltic transport of nanotube‐based nanofluid as this process involves a wide range of uses in the bioengineering, biomechanics, and medical fields. In this investigation, influence of single‐walled carbon nanotubes (SWCNTs) on magnetohydrodynamic mixed convective peristalsis through an inclined and asymmetric channel is analyzed. The additional physical mechanisms such as velocity slip, viscous dissipation, thermal slip, Joule heating, and heat consumption/injection are also encountered. The principal equations are formulated under the estimation of long wavelength and low Reynolds number. Perturbation method is operated to evaluate the solutions of subsequent nonlinear system of equations for small Brinkman number. To deeply analyze the characteristics of embedded parameters, graphs are presented and comprehensive interpretation is provided. Rate of heat transfer is augmented for higher proportion of SWCNTs in base fluid water. At the center of channel, increasing volume fraction of SWCNTs and strong Lorentz force retard the motion of fluid while flow is accelerated in more inclined channel. Volume fraction of SWCNTs, Grashof number, and inclination parameter encourage the pressure gradient at wider part of the channel. The size of bolus is contracted by strong Lorentz force and large volume fraction of SWCNTs. Three basic models named as Maxwell's, Hamilton‐Crosser's, and Xue's model are utilized to forecast the thermal conductivity of nanofluid and succeeding numerical computations for heat transfer rate are presented through table. It is found that the Xue's model is most effective to anticipate the thermal conductivity of nanofluids. Moreover, the addition of a heat sink in the system significantly influences the heat transfer process and plays a supportive role to rapidly cool down the channel.

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Entropy Generation Analysis for Magnetohydrodynamic Peristaltic Transport of Copper-Water Nanofluid in a Tube Filled With Porous Medium

Cited by 4 publications

References 0 publications

Nanofluid Transport in Porous Media: A Review

Nanofluid Transport in Porous Media: A Review

Irreversibility analysis of nanofluid flow induced by peristaltic waves in the presence of concentration‐dependent viscosity

Magnetohydrodynamic mixed convective peristaltic slip transport of carbon nanotubes dispersed in water through an inclined channel with Joule heating

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