Empirical analysis of heat transfer and friction factor of water/graphene oxide nanofluid flow in turbulent regime through an isothermal pipe

Ranjbarzadeh, Ramin; Karimipour, Arash; Afrand, Masoud; Isfahani, Amir Homayoon Meghdadi; Shirneshan, Alireza

doi:10.1016/j.applthermaleng.2017.07.189

Cited by 114 publications

(30 citation statements)

References 47 publications

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“…Agarwal et al [132] found that for maximum stabilization of nanofluid the oleylamine to GNP mass ratio is 0.6. [168] ZPT N/A Sodium dodecyl sulfate, sodium dodecyl benzene sulfonate, dodecyl betaine [169] ZPT, PSD~ 30 days N/A [174] UV-Vis~ 60 days N/A [175] ZPT, SPC~ 2 months N/A [176] Sedimentation balance method~ 34 days N/A [179,180] UV-Vis, ZPT~ 15 days Sodium deoxycholate [183] UV-Vis~ 10 days N/A [184,189] SPC, ZPT~ 3 months N/A [190] ZPT~ 60 days N/A [196] ZPT N/A N/A Fig. 13 Electrostatically and sterically stable nanoparticles [215] For electrostatic stabilization, the existence of surface charge or Coulomb repulsion is a major source of stabilization.…”

Section: Stability Mechanismsmentioning

confidence: 99%

“…To improve the heat exchange rate the conventional technique is to increase the surface area; however, here the cost comes to the main parameter. Some researches accessible on effective cooling of heat exchanger with GNFs on flow arrangement [189,229], flow regime [128,184], and construction [153,164]. From the studies, at a fixed Re number, the rise of loading graphene to water enhances the convective heat transfer coefficient.…”

Section: Applications Of Gnfmentioning

confidence: 99%

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Review on the recent progress in the preparation and stability of graphene-based nanofluids

Mahian

Wongwises

et al. 2020

J Therm Anal Calorim

106

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Graphene has attracted much attention from the science world because of its mechanical, thermal, and physical properties. Graphene nanofluid is well known for its easy synthesis, longer suspension stability, higher heat conductivity, lower erosion, corrosion, larger surface area/volume ratio, and lower demand for pumping power. This article is an audit of experimental outcome about the preparation and stability of graphene-based nanofluids. Numerous researches to prepare and stabilize graphene-based nanofluids have been developed, and it is indispensable to create a complete list of the approaches. This research work outlines the advancement on preparation and assessment methods and the techniques to enhance the stability of graphene nanofluids and outlook prospects.

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Section: Stability Mechanismsmentioning

confidence: 99%

Section: Applications Of Gnfmentioning

confidence: 99%

Review on the recent progress in the preparation and stability of graphene-based nanofluids

Mahian

Wongwises

et al. 2020

J Therm Anal Calorim

106

View full text Add to dashboard Cite

show abstract

“…The effects of the nanoparticle concentration and the heat flux on the heat transfer enhancement with the turbulent flow were exhibited in the study. They determined that the Nu number of the GNP nanofluid was higher than that of the base fluid by approximately 3-83% for the concentration ranges of 0.025% and 0.1 wt% Ranjbarzadeh et al [17] designed an isotherm heat transfer system to investigate the effect of the GO-DW nanofluid flow on the heat transfer and friction coefficient in a circular pipe having an inner diameter of 8.5 mm. The volumetric nanofluid concentration ranges were used as 0-0.1%, and the Re number was selected between 5250 and 36,500.…”

Section: Introductionmentioning

confidence: 99%

Experimental and numerical investigation of convection heat transfer in a circular copper tube using graphene oxide nanofluid

Karabulut

Buyruk

Kılınç

2020

J Braz. Soc. Mech. Sci. Eng.

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To able to employ nanofluids in engineering applications, it is essential to investigate heat transfer properties in addition to thermophysical characteristics. In this work, the convection heat transfer coefficient of graphene oxide-distilled water nanofluid along a circular copper tube having a constant heat flux at the outside surface has been investigated both numerically and experimentally under turbulent flow regime. While the nanofluid convection heat transfer and head loss of pressure have been evaluated in the experimental section, the tube wall surface temperature, the convection heat transfer coefficient and friction factor have been obtained by using finite volume method in the numerical part with a three-dimensional domain by assuming single-phase flow. Surface and fluid temperatures and pressure drop of the distilled water have been acquired and compared with the related output from the correlation. Besides, the variations of the tube surface temperatures and the convection heat transfer coefficients of the nanofluids have been examined as numerical and experimental comparisons. The contours of the temperatures, convection heat transfer coefficients and pressure distributions for fluids have been presented. The convection heat transfer performances of the nanofluids according to the different volumetric flow rates, concentrations and the heat flux values have been exhibited in this study. The heat transfer coefficient increment value for the nanofluid of 0.02 vol% concentration and with a flow rate of 1.5 l/min (Re = 5032) has been obtained as about 48% for 5073.244 W/m 2 (350 W) heat flux according to the distilled water.

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“…Nanofluids are a particular system of thermal fluid generally containing solid nanoparticles into a base fluid, such as mineral oil, ethylene glycol and water; the diameters are smaller than 100 nm …”

Section: Introductionmentioning

confidence: 99%

A new empirical correlating equation for calculating effective viscosity of nanofluids

Dhahri

Aouinet

Sammouda

2019

Heat Trans. Asian Res.

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In this paper, an empirical correlation for the nanofluid viscosity is proposed. The new equation for the nanofluid effective dynamic viscosity, normalized by the dynamic viscosity of the base liquid, is derived from a wide selection of experimental data available in the literature. This correlation presented the viscosity of the nanofluid as a function of the base fluid viscosity, nanoparticle volume fraction, nanoparticle diameter, nanoparticle temperature, and mass density of the base fluid. The new correlation was evaluated against 898 experimental data for the viscosities of nanofluid collected from the literature. The experimental data included different working nanofluids, such as alumina, Iron, and silica, where the diameter of nanoparticles was ranging between 10 and 350 nm, suspended in water, propylene glycol, and kerosene. The predicted results were then compared with many other published experimental results for different nanofluids and very good concordance between these results was observed. In general, this correlation has higher accuracy and precision.

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Empirical analysis of heat transfer and friction factor of water/graphene oxide nanofluid flow in turbulent regime through an isothermal pipe

Cited by 114 publications

References 47 publications

Review on the recent progress in the preparation and stability of graphene-based nanofluids

Review on the recent progress in the preparation and stability of graphene-based nanofluids

Experimental and numerical investigation of convection heat transfer in a circular copper tube using graphene oxide nanofluid

A new empirical correlating equation for calculating effective viscosity of nanofluids

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