Numerical analysis of conjugate natural and mixed convection heat transfer of nanofluids in a square cavity using the two-phase method

Garoosi, Faroogh; Talebi, Farhad

doi:10.1016/j.apt.2017.04.006

Cited by 39 publications

(12 citation statements)

References 57 publications

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“…Due to its benefits, nanofluids are used in many sectors such as transportation, electronic components, medical Convective heat transfer applications, heat exchangers, energy storage etc. (Ho et al, 1993;Garoosi and Talebi, 2017;Alsabery et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation on turbulent convective heat transfer of nanofluid flow in a square cross-sectioned duct

Şenay

Kaya

Gedik

et al. 2019

HFF

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Purpose The purpose of this study is to numerically investigate the heat transfer enhancement by using two different nanofluids flow throughout the square duct under a constant heat flux (500 × 103 W/m2). Design/methodology/approach In numerical computations, ANSYS Fluent code based on the finite volume method was used to solve governing equations by iteratively. Water, Al2O3-water and TiO2-water nanofluids were used for different flow velocities changing 1 m/s to 8 m/s (i.e. Reynolds number varying from 3,000 to 100,000). Findings The results were compared with results published previously in the literature and close agreement was observed especially considering Dittus and Boelter correlation for water. It was found that from the obtained results, increasing flow velocity and volume fractions of nanoparticles has caused to increase Nu number for all cases. Besides, variations of pressure drop, Darcy friction factor are presented graphically and discussed in detail. The results are consistent with a deviation of 1.3 to 15 per cent with the results of other researchers. Originality/value The effects of the Re numbers and volume fractions of nanoparticles (0.01 ≤ Φ ≤ 0.04) on the heat transfer and fluid flow characteristics such as average Nu number, pressure drop (ΔP) and Darcy friction factor (f) were investigated.

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Section: Introductionmentioning

confidence: 99%

Numerical investigation on turbulent convective heat transfer of nanofluid flow in a square cross-sectioned duct

Şenay

Kaya

Gedik

et al. 2019

HFF

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“…Using different thermal boundary conditions, they disclosed a decreasing trend of Nusselt number with a rise in the Darcy number and porous particle diameter. Garoosi, et al [18], Garoosi and Talebi [19], and Garoosi, et al [20] conducted numerical studies with different heating arrangements and found enhancement in the thermal performance with diminishing the nanoparticle diameter and increasing the number of the heating elements up to a certain Richardson number.…”

Section: Introductionmentioning

confidence: 99%

Mixed Convection of Hybrid Nanofluid in an Inclined Enclosure with a Circular Center Heater under Inclined Magnetic Field

et al. 2021

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The hybrid nanofluids have efficient thermal networking due to the trade-off between the pros and cons of the more than one type of suspension. In the current study, water-based hybrid nanofluid is used to investigate mixed convection in a squared enclosure heated with a circular center heater. The cavity is placed inclined under the uniform inclined magnetic field. The squared cavity comprises of two adiabatic vertical walls and two cold horizontal walls. The governing equations are normalized using a suitable set of variables and are solved with the finite element method. A comparison is provided with previously reported results at limiting case. The grid independence is examined for the Nusselt number at the central heater. The analysis reveals the effective role of the concentration of hybrid nanofluid particles in enhancing the heat spread. The results indicate that adding 2% concentration of Ag-MgO hybrid nanoparticles causes an 18.3% uprise in the Nusselt number at the central heater. The heat transfer rate enhances for increasing Hartmann number between 0 and 10 but decreases over 10. For better heat transfer augmentation, a heater with a smaller radius is recommended for the free convection. In contrast, a heater with a larger radius serves the purpose in case of forced convection.

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“…Some common nanoparticles include alumina, silica, copper oxide (CuO), titanium oxide (TiO 2 ) [1][2][3][4][5][6][7][8][9][10][11]. Most recently, nanoparticles have even been synthesized from biomaterials [12,13].…”

Section: Introductionmentioning

confidence: 99%

“…Over the years, there have been several experimental and numerical studies on heat transfer characteristics of the flow of nanofluids in tubes carried out by researchers [2,3,6,8,10,17,. A quick review of the most relevant works is presented below.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of single-phase, discrete, mixture and combined model of discrete and mixture phases in predicting nanofluid heat transfer characteristics for laminar and turbulent flow regimes

Onyiriuka

Obanor

Mahdavi

et al. 2018

Advanced Powder Technology

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It is essential to investigate the appropriate model for simulating nanofluid flow for different flow regimes because, at present, most previous studies do not agree with each other. It was, therefore, the purpose of this study to present a Computational Fluids Dynamics (CFD) investigation of heat transfer coefficients of internal forced convective flow of nanofluids in a circular tube subject to constant wall heat flux boundary conditions. A complete threedimensional (3D) cylindrical geometry was used. Laminar and turbulent flow regimes were considered. Three two-phase models (mixture model, discrete phase model (DPM) and the combined model of discrete and mixture phases) and the single-phase homogeneous model (SPM) were considered with both constant and variable properties. For the turbulent flow regime, it was found that the DPM with variable properties closely predicted the local heat transfer coefficients with an average deviation of 9%, and the SPM deviated from the DPM model by 2%. It was also found that the mixture and the combined discrete and the mixture phase model gave unrealistic results. For laminar flow, the DPM model with variable properties predicted the heat transfer coefficients with an average deviation of 9%.

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Numerical analysis of conjugate natural and mixed convection heat transfer of nanofluids in a square cavity using the two-phase method

Cited by 39 publications

References 57 publications

Numerical investigation on turbulent convective heat transfer of nanofluid flow in a square cross-sectioned duct

Numerical investigation on turbulent convective heat transfer of nanofluid flow in a square cross-sectioned duct

Mixed Convection of Hybrid Nanofluid in an Inclined Enclosure with a Circular Center Heater under Inclined Magnetic Field

Evaluation of single-phase, discrete, mixture and combined model of discrete and mixture phases in predicting nanofluid heat transfer characteristics for laminar and turbulent flow regimes

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