Two-phase mixture simulation of Al2O3/water nanofluid heat transfer in a non-uniform heat addition test section

Abbassi, Yasser; Shirani, Amir Saeed; Asgarian, Shahla

doi:10.1016/j.pnucene.2015.04.009

Cited by 10 publications

(4 citation statements)

References 17 publications

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“…Gul et al 23 have studied the unsteady thin film CNT nanofluid flow on an upright cylinder. The numerical investigation of Al 2 O 3 À H 2 O nanofluid flow of two-phase model is presented by Abbassi et al 24 The turbulent behavior of free convection of Al 2 O 3 À H 2 O and Al 2 O 3 À Cu hybrid nanofluid is numerically investigated by Takabi and Shokouhmand. 25 The effect of three-dimensional water-aluminum oxide nanofluid flow in a rectangular micro-channel with different nanoparticles is discussed by Akbari et al 26 The comparison of the two sorts of nanofluids has been studied using the steady case.…”

Section: Introductionmentioning

confidence: 99%

The carbon-nanotube nanofluid sprayed on an unsteady stretching cylinder together with entropy generation

Gul

Waqas

Noman

et al. 2019

Advances in Mechanical Engineering

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The water-based single- and multiple-wall carbon nanotubes nanofluid over the surface of an unsteady stretched cylinder has been studied. The thin film of the carbon-nanotube nanofluid has been focused for the heat transfer enhancement applications. The well-known thermal conductivity model for the revolving tube materials like single- and multiple-walled carbon nanotubes defined by Xue were used. The modeled problem has been solved through the optimal homotopy analysis method using the BVPh 2.0 package. The distribution of the thin layer has been regulated through the pressure term using the variable thickness of the nanoliquid. The entropy generation has mainly focused during the motion of the thin layer for the both sorts of carbon nanotubes. The important features of the entropy generation and Bejan number under the influence of the physical constraints have been compared for the both types of single-wall carbon nanotubes and multiple-wall carbon nanotubes and discussed. The well-known BVPh 2.0 package of the optimal homotopy analysis method has been used to find the outcomes.

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Section: Introductionmentioning

confidence: 99%

The carbon-nanotube nanofluid sprayed on an unsteady stretching cylinder together with entropy generation

Gul

Waqas

Noman

et al. 2019

Advances in Mechanical Engineering

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“…Recently, two-phase mixture model has been utilized to predict the nanofluids behavior by some researchers [19][20][21][22][23][24]. Behzadmehr et al [23] investigated flow of the Cu-water nanofluid through a tube using the two-phase mixture procedure.…”

Section: Introductionmentioning

confidence: 99%

CFD simulation of nanofluid forced convection inside a three-dimensional annulus by two-phase mixture approach: Heat transfer and entropy generation analyses

Gorjaei

Soltani

Bahiraei

et al. 2018

International Journal of Mechanical Sciences

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“…The abovementioned authors explained the nanofluid mixture properties as the dominant factor to determine the heat transfer features of the flow. Akbarinia and Laur [19], Bianco et al [20], Rashidi et al [21] and some more in recent years [22][23][24][25][26] considered centrifugal and gravitational forces as the main reason for the accelerating particle with respect to the base fluid.…”

Section: Introductionmentioning

confidence: 99%

Implementation of diffusion and electrostatic forces to produce a new slip velocity in the multiphase approach to nanofluids

2017

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Due to the improvement of heat transfer by nanofluids, an understanding of the interactions between nanoparticles and the base fluid is essential for simulation. The relative or slip velocity between nanoparticles and the base fluid is one of the main factors in choosing the multiphase mixture model approach. In this paper, a new slip velocity is proposed and used to compare the simulation result to the experimental results of natural convective flow in a cavity filled with an alumina nanofluid. Therefore, the ANSYS-Fluent 15.0 software is employed and the new slip velocity is applied as a user-defined function. The new slip velocity is a result of the combination of Brownian and thermophoretic diffusions, lift, buoyancy and centrifugal forces, virtual mass, pressure gradient, Van der Waals attraction and electric double layer repulsion forces. The comparison between these forces and induced drag force will provide the corresponding slip velocity. The simulation results were in good agreement with the flow pattern and heat transfer features of the experimental studies in the literature. It was found that thermophoretic and electrostatic slip mechanisms should essentially be considered in simulations, as well as buoyancy force. The major effects of electrostatic slip velocity are mainly seen in concentration higher than 1 vol.%, while thermophoresis could not be ignored in any concentration. Therefore, the implemented slip velocity reveals some critical aspects of nanoparticle and base fluid interactions compared to an algebraic velocity.

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Two-phase mixture simulation of Al2O3/water nanofluid heat transfer in a non-uniform heat addition test section

Cited by 10 publications

References 17 publications

The carbon-nanotube nanofluid sprayed on an unsteady stretching cylinder together with entropy generation

The carbon-nanotube nanofluid sprayed on an unsteady stretching cylinder together with entropy generation

CFD simulation of nanofluid forced convection inside a three-dimensional annulus by two-phase mixture approach: Heat transfer and entropy generation analyses

Implementation of diffusion and electrostatic forces to produce a new slip velocity in the multiphase approach to nanofluids

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