CFD modeling of turbulent convection heat transfer of nanofluids containing green functionalized graphene nanoplatelets flowing in a horizontal tube: Comparison with experimental data

Sadri, Rad; Mallah, Abdul Rahman; Hosseini, Maryam; Ahmadi, Goodarz; Kazi, S.N.; Dabbagh, Ali; Yeong, Chai Hong; Ahmad, Roslina; Yaakup, Nur Adura

doi:10.1016/j.molliq.2018.06.011

Cited by 41 publications

(13 citation statements)

References 40 publications

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“…In the work, the thermal and hydraulic performances were investigated taking convective heat transfer coefficient ( h ) , Nusselt number (Nu), and friction factor ( f ) into consideration. Once the equations were converged, the bulk and wall temperatures and, the wall shear stress were attained to calculate h and f by the following equations (Sadri et al, 2018). where w is the wall shear stress, u is the mean velocity.…”

Section: Boundary Conditionsmentioning

confidence: 99%

“…To validate the present numerical study, the Nu number and friction factor with the base fluid were compared to the results obtained with the empirical correlations of Petukhov (Eq.15), Notter-Rouse (Eq.16), Dittus-Boelter (Eq.17) for Nu number prediction and, Petukhov (Eq.18) and Blasius (Eq.18) expressions for friction factors as follows (Sadri et al, 2018;Kakaç and Liu, 2002;Bergman et al, 2011 Figure 3 shows the Nu number and f against Re number for comparison of the results between the present numerical study and the empirical correlations. The numerical results are in good agreement with those obtained from the Petukhov and Notter-Rouse correlations for Nu number.…”

Section: Validation Of the Studymentioning

confidence: 99%

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Numerical Investigation on Heat Transfer and Hydraulic Performance of Al2O3-Water Nanofluid as a Function of Reynolds Number and Flow Velocity

Yıldız

Aktürk

2021

Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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This study numerically investigates the heat transfer and hydraulic performance of Al2O3-water nanofluids flowing through a horizontal smooth pipe exposed to a constant heat flux. The nanofluids were regarded as four different varying concentrations in the range from 0.01 to 0.04 by a 0.01 increment (by volume) of the nano-particle, Al2O3. Numerical analyses were performed using the finite volume method to solve governing equations in the created three-dimensional domain. The heat transfer and hydraulic characteristics of the nanofluids were separately investigated as a function of both Re number and flow velocity corresponding to the turbulent flow regime. The results show that the convective heat transfer coefficients increase remarkably with the increase of Al2O3 fraction, and the maximum overall enhancement ratio was found by 1.30, in the case of the same Reynolds number. In contrast, in the case of the same flow velocities to the base fluid, the convective heat transfer coefficients of the nanofluids worsened with relative to the base fluid due to higher viscosity values of the nanofluids which cause a decrease in Reynolds numbers. Moreover, friction factors with nanofluids increased, which gave rise to the overall enhancement ratios to be at lower than 1.0.

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Section: Boundary Conditionsmentioning

confidence: 99%

Section: Validation Of the Studymentioning

confidence: 99%

Numerical Investigation on Heat Transfer and Hydraulic Performance of Al2O3-Water Nanofluid as a Function of Reynolds Number and Flow Velocity

Yıldız

Aktürk

2021

Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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“…The primary heat transport fluids like pure water (DW), engine oil (EO), and ethylene glycol (EG) show low thermal efficiency [ 4 , 5 ]. Therefore, many researchers have been working on improving the thermal-physical properties of heat transfer fluids for better enhancements in heat transfer and hydrodynamic properties [ 6 , 7 , 8 ]. Experimental, theoretical, and numerical efforts have been performed to suspend nanoparticles in host fluids to produce nanofluids as alternatives to the basic working fluids [ 9 , 10 , 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Heat Transfer and Hydrodynamic Properties Using Different Metal-Oxide Nanostructures in Horizontal Concentric Annular Tube: An Optimization Study

et al. 2021

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Numerical studies were performed to estimate the heat transfer and hydrodynamic properties of a forced convection turbulent flow using three-dimensional horizontal concentric annuli. This paper applied the standard k–ε turbulence model for the flow range 1 × 104 ≤ Re ≥ 24 × 103. A wide range of parameters like different nanomaterials (Al2O3, CuO, SiO2 and ZnO), different particle nanoshapes (spherical, cylindrical, blades, platelets and bricks), different heat flux ratio (HFR) (0, 0.5, 1 and 2) and different aspect ratios (AR) (1.5, 2, 2.5 and 3) were examined. Also, the effect of inner cylinder rotation was discussed. An experiment was conducted out using a field-emission scanning electron microscope (FE-SEM) to characterize metallic oxides in spherical morphologies. Nano-platelet particles showed the best enhancements in heat transfer properties, followed by nano-cylinders, nano-bricks, nano-blades, and nano-spheres. The maximum heat transfer enhancement was found in SiO2, followed by ZnO, CuO, and Al2O3, in that order. Meanwhile, the effect of the HFR parameter was insignificant. At Re = 24,000, the inner wall rotation enhanced the heat transfer about 47.94%, 43.03%, 42.06% and 39.79% for SiO2, ZnO, CuO and Al2O3, respectively. Moreover, the AR of 2.5 presented the higher heat transfer improvement followed by 3, 2, and 1.5.

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“…Nanofluids are fluids in which stable and homogeneous solid nanoparticles (metals, metal oxides, or carbon-based nanostructures) are suspended [4,5]. Nanoparticles (NPs) in the thermal boundary layer as well as their random movement within the fluid may have a positive impact on the convective heat transfer coefficient [6][7][8].…”

Section: Introduction 1research Backgroundmentioning

confidence: 99%

Frictional Pressure Drop and Cost Savings for Graphene Nanoplatelets Nanofluids in Turbulent Flow Environments

Mohammad

Aldlemy

Hassan³

et al. 2021

Nanomaterials

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Covalent-functionalized graphene nanoplatelets (CF-GNPs) inside a circular heated-pipe and the subsequent pressure decrease loss within a fully developed turbulent flow were discussed in this research. Four samples of nanofluids were prepared and investigated in the ranges of 0.025 wt.%, 0.05 wt.%, 0.075 wt.%, and 0.1 wt.%. Different tools such as field emission scanning electron microscopy (FE-SEM), ultraviolet-visible-spectrophotometer (UV-visible), energy-dispersive X-ray spectroscopy (EDX), zeta potential, and nanoparticle sizing were used for the data preparation. The thermophysical properties of the working fluids were experimentally determined using the testing conditions established via computational fluid dynamic (CFD) simulations that had been designed to solve governing equations involving distilled water (DW) and nanofluidic flows. The average error between the numerical solution and the Blasius formula was ~4.85%. Relative to the DW, the pressure dropped by 27.80% for 0.025 wt.%, 35.69% for 0.05 wt.%, 41.61% for 0.075 wt.%, and 47.04% for 0.1 wt.%. Meanwhile, the pumping power increased by 3.8% for 0.025 wt.%, 5.3% for 0.05 wt.%, 6.6% for 0.075%, and 7.8% for 0.1 wt.%. The research findings on the cost analysis demonstrated that the daily electric costs were USD 214, 350, 416, 482, and 558 for DW of 0.025 wt.%, 0.05 wt.%, 0.075 wt.%, and 0.1 wt.%, respectively.

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CFD modeling of turbulent convection heat transfer of nanofluids containing green functionalized graphene nanoplatelets flowing in a horizontal tube: Comparison with experimental data

Cited by 41 publications

References 40 publications

Numerical Investigation on Heat Transfer and Hydraulic Performance of Al2O3-Water Nanofluid as a Function of Reynolds Number and Flow Velocity

Numerical Investigation on Heat Transfer and Hydraulic Performance of Al2O3-Water Nanofluid as a Function of Reynolds Number and Flow Velocity

Heat Transfer and Hydrodynamic Properties Using Different Metal-Oxide Nanostructures in Horizontal Concentric Annular Tube: An Optimization Study

Frictional Pressure Drop and Cost Savings for Graphene Nanoplatelets Nanofluids in Turbulent Flow Environments

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