Comparison of heat transfer performance of water-based graphene nanoplatelet- and multi-walled carbon nanotube-nanofluids in a concentric tube heat exchanger

Dayou, Sebastian; Wei, Ting Tiew; Vigolo, Brigitte

doi:10.1016/j.diamond.2022.108976

Cited by 21 publications

(5 citation statements)

References 60 publications

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“…The numerical results validate that the use of TiO2-water nanofluid partially gives higher heat transfer coefficients than a base fluid does. Also, the result predicted from the numerical model The experimental/numerical data provided by [10], [22], and [23], and the curve fit predictions exhibit exceptional consistency, as seen in Figure 9. The independent variable gamma (γ) governs all variable parameters in an extraordinarily straightforward equation, which can then predict the value of the nanofluids heat transfer coefficients regardless of different heat exchanger geometries, turbulent flow (Re ≥ 4000), and any other thermal parameters of a wide range of nanoparticles properties.…”

Section: Discussionmentioning

confidence: 72%

“…Therefore, data have been taken from serval publications for comparison. Dayou et al [10] provided data to examine the thermal performance of MWCNT/water nanofluid flows in a concentric pipe heat exchanger with flow rates varying from 1.5 to 2.5 LPM of nanofluid. Also, the data provided by Azmi et al [22] concluded that the SiO 2 nanofluid gives a maximum experimental heat transfer coefficient, which increases with increasing nanoparticle volume fractions up to 3.0% volume.…”

Section: Nondimensional Study Of the Convective Heat Transfer Coeffic...mentioning

confidence: 99%

“…They found that particles of γ-Al 2 O 3 and TiO 2 could be well dispersed consistently at pH values of 3 and 10, respectively, and the Nusselt number was found to increase when the volume fraction and Reynolds number increased, since the main parameter influencing the heat transfer performance is thermal conductivity. Dayou et al [10] conducted thermal performance comparisons between (MWCNT) and (GnP) nanofluids. The heat transfer coefficients of graphene nameplate (GnP) nanofluids are found to be much greater than the multiwall carbon nanotube (MWCNT) nanofluids at the particular concentration and the flow rates.…”

Section: Introductionmentioning

confidence: 99%

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Computational Fluid Dynamics Heat Transfer Analysis of Double Pipe Heat Exchanger and Flow Characteristics Using Nanofluid TiO2 with Water

Alhulaifi

2024

Designs

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A device called a heat exchanger is used to exchange heat transfer between two fluids with different temperatures. Because of its durability and ability to handle high-pressure application, the concentric double pipe heat exchangers are widely utilized for numerous industrial applications. To conserve pumping power energy, many researchers were involved in study of the nanoparticles to be embedded in the fluid, which will enrich the fluid thermal conductivity and surface area. This article demonstrates the flow characteristics and convective heat transfer of nanofluids containing 0.2, 0.4 and 0.6 of vol% TiO2 nanoparticles dispersed in water under turbulent conditions, which mainly can be used for cooling nuclear reactors applications. Reynolds numbers varying from 4000 to 18,000 are examined numerically. The convective heat transfer coefficient results of the nanofluid agree well against experimental data, which are slightly more than that of base water at 1.94%. The results of the numerical model showed that the convective heat transfer coefficient of nanofluids will increase when the Reynolds and volume fraction increases. By increasing the temperature of the annular hot water, the heat transfer rate will increase, showing no major impact to the convective heat transfer coefficient of nanofluids. A generalised solution predicting the convective heat transfer coefficient for extensive nanoparticle materials is proposed. The conclusion of the empirical equation is tested among published data and the results are highly congruent, confirming the strength of the gamma equation.

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Section: Discussionmentioning

confidence: 72%

Section: Nondimensional Study Of the Convective Heat Transfer Coeffic...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Computational Fluid Dynamics Heat Transfer Analysis of Double Pipe Heat Exchanger and Flow Characteristics Using Nanofluid TiO2 with Water

Alhulaifi

2024

Designs

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“…The heat transfer coefficient increased by around 33.7% at one point. The convective heat transfer coefficient was significantly improved, but the relative pumping power increased only a little by 33.05 and 1.19%, respectively [37]. More importantly, the observed good performance index indication for all Reynolds number ranges indicates that the synthesized MWCNTs aqueous suspensions might be used as an alternate working fluid in heat transfer systems.…”

Section: Parameter Formulamentioning

confidence: 88%

Thermal Analysis of Graphene‐Based Nanofluids for Energy System and Economic Feasibility

Mohammad

Aldlemy

Ahmed

et al. 2022

Journal of Nanomaterials

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Graphene has piqued the interest of many researchers due to its superior mechanical, thermal, and physiochemical properties. Graphene nanoplatelets with covalently functionalized surfaces (CF-GNPs) were employed in turbulent-heated pipes to undertake thermal and economic studies. CF-GNPs and distilled water were used to make the current nanofluids at various mass percentages, such as 0.025, 0.05, 0.075%, and 0.1 wt.%. In the range of 6,401 Re 11,907, the thermal system was heated up to 11,205 W/m2 under fully developed turbulent flow conditions. Field emission scanning electron microscopy (FE-SEM), zeta potential, nanoparticle sizer, and field emission transmission electron microscopy (FE-TEM) were used to examine the morphological features and characterise the particles. In addition, the current thermal system’s economic performance was assessed to estimate its price-to-operate ratio. There was a 16.10% reduction in heat exchanger size for 0.025 weight percent, 0.05 weight percent, 0.075 weight percent, and 0.1 weight percent. In addition, the power needed for the base fluid was 422 W, which was then lowered to 354 W, 326 W, 315 W, and 298 W for 0.025 wt.%, 0.05 wt.%, 0.075 wt.%, and 0.1 wt.%, respectively.

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“…Their applications range from electronics cooling to energy systems, though challenges related to stability, safety, and dispersion control continue to drive research in this multidisciplinary field 3 . Heat transfer in nanofluid flow is a phenomenon where the enhanced thermal conductance and altered flow features of nanofluids are harnessed to improve the efficiency of heat exchange processes 4 . Khan et al 5 inspected nanofluid flow through a porous conduit with impacts of microorganisms and noted that velocity panel declined and thermal panels escalated for higher porosity factor and nanoparticles’ concentration.…”

Section: Introductionmentioning

confidence: 99%

Numerical analysis of slip-enhanced flow over a curved surface with magnetized water-based hybrid nanofluid containing gyrotactic microorganisms

Yasmin,

Lone,

Tassaddiq

et al. 2023

Sci Rep

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This article presents the two-dimensional flow of hybrid nanofluid comprising of gyrotactic microorganisms under the consequences of multiple slip conditions, magnetic field and thermal radiation across an elongating curved surface using porous media. The nanoparticles of TiO2 and Fe3O4 have dispersed in water for composition of hybrid nanofluid. Main equations of the problem are converted to ODEs by using an appropriate set of variables. Solution of the present model is determined with the help of bvp4c technique, which is explained in detail in the coming section. Validation of the current results is done versus the published work. The effects of various emerging factors on flow distributions have been considered and explained. Additionally, the slips conditions are incorporated to analyze various flow distributions. The present outcomes show that the rising magnetic factor lessens the velocity profile, whereas rises the temperature profile. The curvature factor has supported both temperature and velocity distributions. Growth in velocity, thermal, concentration, and microorganisms slip factors reduce the corresponding distributions. The greater impact of the embedded parameters is found on hybrid nanofluid flow when matched to nanofluid flow.

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Comparison of heat transfer performance of water-based graphene nanoplatelet- and multi-walled carbon nanotube-nanofluids in a concentric tube heat exchanger

Cited by 21 publications

References 60 publications

Computational Fluid Dynamics Heat Transfer Analysis of Double Pipe Heat Exchanger and Flow Characteristics Using Nanofluid TiO2 with Water

Computational Fluid Dynamics Heat Transfer Analysis of Double Pipe Heat Exchanger and Flow Characteristics Using Nanofluid TiO2 with Water

Thermal Analysis of Graphene‐Based Nanofluids for Energy System and Economic Feasibility

Numerical analysis of slip-enhanced flow over a curved surface with magnetized water-based hybrid nanofluid containing gyrotactic microorganisms

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