Evaluating the effects of different parameters on rheological behavior of nanofluids: A comprehensive review

Nadooshan, Afshin Ahmadi; Eshgarf, Hamed; Afrand, Masoud

doi:10.1016/j.powtec.2018.07.018

Cited by 63 publications

(17 citation statements)

References 172 publications

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“…Three types of nanoparticles, each with two different particle sizes, were used in this research: aluminum nitride with size of 20 nm and 50 nm (labeled throughout the paper as AlN20 and AlN50, respectively), silicon nitride with an average size of 20 nm and 80 nm (Si 3 N 4 20 and Si 3 N 4 80) and titanium nitride with average size of 20 nm and 50 nm (TiN20 and TiN50). Information about the physical properties of those nanoparticles is summarized in Table 1, and scanning electron microscopy (SEM) pictures of these materials are presented in Fig.…”

Section: Sample Preparationmentioning

confidence: 99%

“…Part of that research was the experimental studies on the properties of nanofluids which has been presented and summarized in the literature. In addition to the review papers on thermal conductivity [12][13][14][15][16], one can find interesting reviews on rheological properties [17][18][19][20][21], heat capacity [22], breakdown voltage [23], and dielectric properties [24]. Recently, a lot of work on modeling nanofluids flow has been done, as summarized in Refs.…”

Section: Introductionmentioning

confidence: 99%

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Surface tension of ethylene glycol-based nanofluids containing various types of nitrides

Wanic

Cabaleiro

Hamze

et al. 2019

J Therm Anal Calorim

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This paper focuses on an experimental study of the surface tension of nanofluids based on ethylene glycol with various types of nitride nanoparticles. Samples were prepared using a two-step method with mass content between 1 and 5% of particles. Nanofluids contain three types of nitride nanoparticles: aluminum nitride, silicon nitride and titanium nitride with various particle average sizes. Surface tension of nanofluids was investigated at a constant temperature of 298.15 K with two different techniques: du Noüy ring method and pendant drop method. It is presented that experimental values obtained with both methods are in good agreement with each other. Also, results obtained during this study show that the addition of this type of nanoparticles does not have a significant impact on the surface tension of base fluid for the concentrations and diameters of nitride nanoparticles considered.

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Section: Sample Preparationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Surface tension of ethylene glycol-based nanofluids containing various types of nitrides

Wanic

Cabaleiro

Hamze

et al. 2019

J Therm Anal Calorim

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“…Over the past two decades, asignificant amount of experimental data has been gatheredon the thermal conductivity enhancement capabilities of metallic and oxide nanoparticles, carbon nanofibers, and carbon nanotubes in these traditional fluids. Comprehensive recent reviews and studies about thermal conductivity enhancement and heat transfer characteristics of NFs were presented in the literature [10][11][12][13][14][15][16][17][18][19]. Many parameters affected the thermal conductivity of the resultant NFs: the kind of nanoparticles, shape and diameter of the particles, particle volume concentrations, temperatures, type of the base fluid, acidity (pH) of the base fluid, preparation techniques, and clustering [2,6,20].…”

Section: Introductionmentioning

confidence: 99%

Thermal Conductivity Calculations for Nanoparticles Embedded in a Base Fluid

Mamand

2021

Applied Sciences

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The Prasher analytical model was used for calculating the thermal conductivity of the embedded nanoparticles of Al2O3, CuO, ZnO, and SiO2 in conventional fluids, such as water and ethylene glycol. The values that were obtained were used in the nanofluid theoretical models for comparison with experimental data, where good agreement was obtained. Liang and Li’s theoretical model was also used to calculate the thermal conductivity of these nanoparticles, where the results agreed with those obtained using the Prasher model. The effect of the liquid nanolayer thickness around the nanoparticles that was used to enhance the effective thermal conductivity of nanofluids was explained. The role of the nanoparticles’ surface specularity parameter, which was size-dependent, was clarified. This theoretical trend provides a simple method for estimating the thermal conductivity of nanoparticles and nanofluids.

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“…The NP of metal oxide materials such as Al 2 O 3 , CuO, SiO 2 , TiO 2 , and ZnO normally exhibit higher thermal conductivity than base fluids even in very dilute concentrations [15]. The utilization of such mediums is normally reported to enhance heat transfer performance [16].…”

Section: Introductionmentioning

confidence: 99%

Dispersion stability and rheological characteristics of water and ethylene glycol based ZnO nanofluids

et al. 2021

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With advancement of nanoscience, ?nanofluids? are becoming quite popular among thermal engineers. High thermal conductivity, relatively less settling speed, and higher surface area of nanoparticles are a few key promoting properties. The last two decades have seen dramatic progress towards using nanoparticles in industrial applications. However, the stability and rheological characteristics of prepared nanofluids have serious effects on their transport characteristics, but unfortunately, this has not found proper attention from researchers. In this study, stability and rheological characteristics of ZnO nanoparticles within deionized water, ethylene glycol, and their blends have been extensively tested. Stability was observed using UV-vis spectroscopy, while the viscosity was measured with the help of a rheometer. The data was collected with 0.011-0.044 wt. % loading of nanoparticles, while experiments were conducted within 15-55oC temperature range. Better stability was recorded when nanofluids were prepared with pure ethylene glycol. Experiments showed that the viscosity increased with particle loading, whereas the effect of surfactants appeared to be insignificant. Research results were used to assess predictions of different viscosity models. Experimental data was overpredicted by Einstein, Brinkman, and Batchelor?s models.

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Evaluating the effects of different parameters on rheological behavior of nanofluids: A comprehensive review

Cited by 63 publications

References 172 publications

Surface tension of ethylene glycol-based nanofluids containing various types of nitrides

Surface tension of ethylene glycol-based nanofluids containing various types of nitrides

Thermal Conductivity Calculations for Nanoparticles Embedded in a Base Fluid

Dispersion stability and rheological characteristics of water and ethylene glycol based ZnO nanofluids

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