Numerical investigation of laminar nanofluid developing flow and heat transfer in a circular channel

Tahir, Sharjeel A.; Mital, Manu

doi:10.1016/j.applthermaleng.2012.01.035

Cited by 90 publications

(22 citation statements)

References 20 publications

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“…They indicated that the heat transfer results by DPM are in good agreement with experiments. Tahir and Mital [23] carried out a numerical simulation of nanofluids in a laminar tube flow by DPM and found good results comparing to experimental data. They considered both particle momentum and energy source terms in equations and discussed only the results of heat transfer characteristics.…”

Section: Introductionmentioning

confidence: 99%

CFD modelling of heat transfer and pressure drops for nanofluids through vertical tubes in laminar flow by Lagrangian and Eulerian approaches

Mahdavi

Sharifpur

Meyer

2015

International Journal of Heat and Mass Transfer

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Nanofluids consist of liquid and solid (nanoparticles), therefore, they can be classified as two-component flow, which brings up different approaches for simulation purposes. In this study, heat transfer and hydro-dynamic features of nanoparticles in a laminar nanofluid flow in a vertical tube are investigated numerically via Lagrangian and Eulerian approaches.Discrete Phase Model (DPM) in Lagrangian approach simulates the motion of particles through base flow with force balance equation, therefore, no needs empirical correlations at least for the thermo-physical properties (which they are not universal and change for different fluids and/or nanoparticles). Although, general empirical or analytical correlations are needed for some interactions between solid and liquid such as Thermophoresis, Brownian and clustering effects, but they are not that extensive and can be employed in most of the cases.Mixture model in Eulerian approach provides more reliable results, but it highly depends on the accuracy of the correlations for the thermo-physical properties of the nanofluid. In present study, three common types of nanofluids consist of Alumina, Zirconia and Silica nanoparticles (up to 2.76% of volume fraction) are studied and the results are compared with experimental works. Numerical simulations indicate that the findings are in good agreement with the measured heat transfer coefficient for DPM. Consequently, DPM can be highly recommended for simulation study due to the strength and simplicity. It has been also observed that the effects of nanoparticles in each computational cell need to be distributed to the other neighbourhood cells. Pressure losses results predicted by DPM were found reliable for volume fraction less than 3%, no matter the types of nanoparticles or diameter. DPM velocity profiles show that the slip velocity between nanoparticles and base flow is not negligible.

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Section: Introductionmentioning

confidence: 99%

CFD modelling of heat transfer and pressure drops for nanofluids through vertical tubes in laminar flow by Lagrangian and Eulerian approaches

Mahdavi

Sharifpur

Meyer

2015

International Journal of Heat and Mass Transfer

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“…Added nanoparticles affecting the viscosity, density, thermal conductivity of the fluid, the motion of the nanoparticles disturbing the flow, were considered to be the main factors in the initial research period (C.H., 2005, Wang, X., 1999, Masoumi, N., 2009. However，some of the experimental and numerical results were contradictory both in laminar and turbulent flows due to the unintelligible mechanism of heat transfer enhancement of nanoparticles ( Wang, P., 2014, Rea, U., 2009, Tahir, S., 2012, Prabhat, 2011. These led to a controversial issue named "whether or not the anomalous convective heat transfer enhancement is possible in nanofluids" at that time.…”

Section: Introductionmentioning

confidence: 99%

“…Rea, et al (2009) presented experimental evidence that no abnormal enhancement occurs, including the entrance region. Tahir, et al (2012) numerically studied laminar developing flow and heat transfer in a circular channel, and found that no enhancement took place in the entrance region in some cases. Based on a statistical analysis methodology, Prabhat, et al (2011) found that there is anomalous heat transfer enhancement in the entrance region in nanofluid laminar flows.…”

Section: Introductionmentioning

confidence: 99%

Effects of wall slip and nanoparticles' thermophoresis on the convective heat transfer enhancement of nanofluid in a microchannel

Wang

Zhu

2016

JTST

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Heat transfer enhancement with nanofluid appears to be an attractive work in recent years. In present work, a numerical formulation based on the Buongiorno model for convective heat transfer using Al2O3-water nanofluid accounted for the effects of Brownian motions and thermophoresis of nanoparticles, slip velocity and jump temperature at solid-fluid interface. Numerical investigations for laminar forced convection flows in a rectangle channel subjected to a uniform wall heat flux have been conducted. The numerical results show us that, the slip velocity can augment the heat transfer enhancement significantly due to the increase of the convection near the solid-fluid interface. Inversely, the jump temperature is not beneficial to the convective heat transfer because of the increased thermal resistance. The thermophoresis of particles affects heat transfer enhancement by changing local density, local viscosity, and local thermal conductivity. The thermophoresis of particles influences the skin friction coefficient also. The Nusselt number increases with the Reynolds number and particle volume fraction. The impact on the Nusselt number of Reynolds number will be receded in some extent because the thermophoresis velocity will be greater when the Reynolds number increasing. These numerical results help us to design micro-devices and understand the mechanism of heat transfer enhancement by adding nanoparticles in a microchannel.

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“…The effects of nanoparticle concentrations, nanoparticle diameter, nanoparticle materials and Reynolds number in various flows in rectangular duct and circular pipe in two/three dimensions are described by various authors by simulation. In this regard some literatures are: Akbarinia and Behzadmehr (2007;Heris et al, 2007;Namburu et al, 2009;Fard et al, 2010;Lai and Yang, 2011;Demir et al, 2011;Sasmito et al, 2011;Sarkar et al, 2012;Tahir and Mital, 2012;Akhtari et al, 2013;Sheikholeslami et al, 2013;Celen et al, 2014;Azmi et al, 2014;Zhao et al, 2014;Om and Mohammed, 2014;Beheshti et al, 2015). They studied the effects of nanofluids type, nanoparticle volume fraction of nanofluids and the effect of aspect ratio on the thermal fields.…”

Section: Introductionmentioning

confidence: 99%

Behaviour of Rheology of Nanofluid During Convection in Pipe

Yadav

Majumder

2016

American Journal of Nanotechnology

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Abstract:In this article, the simulation of nanofluid flow in pipe and the behavior of different variables on nanofluid flow are presented. Al 2 O 3 -water of volume fraction of Al 2 O 3 2 to 8% was considered as nanofluid for simulation. For the simulation the single phase approach is used to calculate viscosity, temperature difference on wall, Reynolds number, thermal conductivity and temperature throughout the pipe. The MATLAB code is employed to solve the flow in pipe using finite difference method. Finally a conclusion is made based on simulation, how the temperature of the nanofluid flow changed with the radial direction and its axial direction is reported. How thermal conductivity, temperature difference on wall, Reynolds number and the viscosity of the nanofluid changed with the length of the pipe is explained based on the present simulation. Also effects of volume fraction of nanoparticle, radius of pipe, outside temperature of wall, Reynolds number and turbulent flow on the heat flow through pipe.

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Numerical investigation of laminar nanofluid developing flow and heat transfer in a circular channel

Cited by 90 publications

References 20 publications

CFD modelling of heat transfer and pressure drops for nanofluids through vertical tubes in laminar flow by Lagrangian and Eulerian approaches

CFD modelling of heat transfer and pressure drops for nanofluids through vertical tubes in laminar flow by Lagrangian and Eulerian approaches

Effects of wall slip and nanoparticles' thermophoresis on the convective heat transfer enhancement of nanofluid in a microchannel

Behaviour of Rheology of Nanofluid During Convection in Pipe

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