Numerical investigation on the use of nanofluids in natural convection heat exchangers using a mixture‐phase approach

Tahery, A. A.; Zehforoosh, A.; Pesteei, Seyed Mehdi

doi:10.1002/htj.20383

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…A comprehensive study on nanofluid heat transfer characteristics and their applications can be found in Chitra and Sendhilnathan [1], Godson and colleagues [2], and Sarkar [3]. Many investigations [4][5][6][7] explained that nanofluids clearly exhibit enhanced thermal conductivity, which augments with an increase in the volumetric fraction of nanoparticles. Hwang and colleagues [8] from their research observed that heat transfer coefficient of a nanofluid decreases with an increase in the size of nanoparticles, in a natural convection case in a rectangular cavity using Al 2 0 3 nanoparticles.…”

Section: Introductionmentioning

confidence: 99%

Numerical Investigations on the Advantage of Nanofluids under DDMC in a Lid‐Driven Cavity

Reddy

Murugesan

2017

Heat Trans. Asian Res.

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Double diffusive mixed convection in a lid-driven cavity filled with Cu-water nanofluid is studied in detail. Various numerical experiments are conducted under horizontal thermal and concentration gradients. Flow equations were solved in velocity vorticity form using Galerkin's weighted residual finite element method. The Maxwell-Garnett model and Brinkman models are applied to predict the thermal conductivity and dynamic viscosity of the nanofluid, respectively. The effectiveness of a nanofluid on heat transfer enhancement with respect to change in Richardson number has been studied at different Reynolds numbers for variation in particle volume fraction from 0 to 0.05. Similarly, the effect of buoyancy ratio on heat and mass transfer is presented for buoyancy ratio in the range of −25 to 25. Detailed contour plots comparing the streamlines, temperature, concentration with and without nanoparticles were presented for all the range of parameters considered. The role of particle concentration and change in type of nanofluid has been reported. The average Nusselt number has increased in all the cases where as the Sherwood number slightly decreased with an increase in particle volume fraction. The Ag-water nanofluid showed better improvement in heat transfer characteristics compared to other nanofluids for

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Section: Introductionmentioning

confidence: 99%

Numerical Investigations on the Advantage of Nanofluids under DDMC in a Lid‐Driven Cavity

Reddy

Murugesan

2017

Heat Trans. Asian Res.

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“…Recently, numerous other theoretical investigations by different researchers (Bianco et al, 2009;Ebrahimnia-Bajestan et al, 2011;Farsad et al, 2011;Fazeli et al, 2012;Haghshenas Fard et al, 2010;Kalteh et al, 2012;Kamali and Binesh, 2010;Kamyar et al, 2012;Mahmoodi and Hashemi, 2012;Manca et al, 2012;Rana and Bhargava, 2011;Rostamani et al, 2010;Singh et al, 2012;Tahery et al, 2011;Yang and Lai, 2011;Yu et al, 2011) on nanofluid convective heat transfer were carried out, but all of them did not consider the van der Walls interaction and agglomeration phenomena of the nanoparticles.…”

Section: Introductionmentioning

confidence: 99%

CFD and experimental investigation on the heat transfer characteristics of alumina nanofluids under the laminar flow regime

Azari

Kalbasi

Rahimi

2014

Braz. J. Chem. Eng.

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-This study reports experimental and Computational Fluid Dynamics (CFD) investigations of the laminar convective heat transfer coefficient of Al 2 O 3 /water nanofluids in a circular tube under uniform and constant heat flux on the wall. Three different models including a constant physical properties single-phase (CP-SP) model, a variable physical properties single-phase (VP-SP) model and a discrete particles two-phase model were developed. Particle agglomeration and cluster size distribution were considered in the two-phase model. Experimental and simulation results showed that the thermal performance of nanofluids is higher than that of the base fluid and the heat transfer enhancement increases with the particle volume concentration and Reynolds number. Furthermore, higher heat transfer coefficients were detected in the case of the VP-SP model and the two-phase model. The results demonstrated that the two-phase model prediction and experimental data match significantly and that the model can be employed with confidence for the prediction of any type of nanofluid.

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Numerical investigation on the use of nanofluids in natural convection heat exchangers using a mixture‐phase approach

Cited by 2 publications

References 23 publications

Numerical Investigations on the Advantage of Nanofluids under DDMC in a Lid‐Driven Cavity

Numerical Investigations on the Advantage of Nanofluids under DDMC in a Lid‐Driven Cavity

CFD and experimental investigation on the heat transfer characteristics of alumina nanofluids under the laminar flow regime

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