Rheological behaviour of nanofluids: A review

Sharma, Anuj Kumar; Tiwari, Arun Kumar; Dixit, Amit Rai

doi:10.1016/j.rser.2015.09.033

Cited by 286 publications

(118 citation statements)

References 131 publications

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“…[1][2][3][4][5][6][7] Flow velocity of particles suspended in fluid can be experimentally evaluated by tracking them, and flow velocity field can be evaluated by the particle image velocimetry (PIV) or the particle tracking velocimetry (PTV). PIV can be applied to such systems where particle concentrations are too high to track them individually.…”

Section: Introductionmentioning

confidence: 99%

Particle image diffusometry: Resolving diffusion coefficient field from microscopy movie data without particle tracking

Hanasaki

Ooi

2018

AIP Advances

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We propose a technique to evaluate the field of diffusion coefficient for particle dispersion where the Brownian motion is heterogeneous in space and single particle tracking (SPT) analysis is hindered by high concentration of the particles and/or their small size. We realize this “particle image diffusometry” by the principle of the differential dynamic microscopy (DDM). We extend the DDM by introducing the automated objective decision of the scaling regime itself. Label-free evaluation of spatially non-uniform diffusion coefficients without SPT is useful in the diverse applications including crystal nucleation and glass transition where non-invasive observation is desired.

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Section: Introductionmentioning

confidence: 99%

Particle image diffusometry: Resolving diffusion coefficient field from microscopy movie data without particle tracking

Hanasaki

Ooi

2018

AIP Advances

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“…The base fluids are commonly used fluids such as ethylene glycol (EG), mineral oil, or a mixture of various liquids (e.g., EG and water or water and propylene glycol) [1,2]. The primary advantage of NFs is that they have superior thermophysical properties to conventionally used fluids.…”

Section: Introductionmentioning

confidence: 99%

Fabrication and Characterization of Carbon-Based Nanofluids through the Water Vortex Trap Method

Cheng

Teng

2018

Journal of Nanomaterials

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This study designed an efficient one-step method for synthesizing carbon-based nanofluids (CBNFs). The method employs the vortex trap method (VTM) and an oxygen-acetylene flame, serving as a carbon source, in a manufacturing system of the VTM (MSVTM). The flow rate ratio of O 2 and C 2 H 2 was adjusted to form suitable combustion conditions for the reduced flame. Four flow rate ratios of O 2 and C 2 H 2 were used: 1.5 : 2.5 (V1), 1.0 : 2.5 (V2), 0.5 : 2.5 (V3), and 0 : 2.5 (V4). The morphology, structure, particle size, stability, and basic physicochemical characteristics of the obtained carbon-based nanomaterials (CBNMs) and CBNFs were investigated using transmission electron microscopy, field-emission scanning electron microscopy, X-ray diffraction, Raman spectrometry, ultraviolet-visible-near-infrared spectrophotometry, and a particle size-zeta potential analyzer. The static positioning method was utilized to evaluate the stability of the CBNFs with added EP dispersants. The evaluation results revealed the morphologies, compositions, and concentrations of the CBNFs obtained using various process parameters, and the relation between processing time and production rate was determined. Among the CBNMs synthesized, those obtained using the V4-0 flow rate ratio had the highest stability when no EP dispersant was added. Moreover, the maximum enhancement ratios of the viscosity and thermal conductivity were also obtained for V4-0: 4.65% and 1.29%, respectively. Different types and concentrations of dispersants should be considered in future research to enhance the stability of CBNFs for further application.

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“…An over-increase in the viscosity of the suspension will lead to the growth of the pumping power requirement, and also suppress natural convection [9,10]. Studies started to report that the enormous increase in the viscosity of the nanofluids with the increase of the volume fraction of the particles [11,12] resulted in a significant decrease of their efficiency as heat transfer fluids.…”

Section: Introductionmentioning

confidence: 99%

Self-propelled nanofluids a path to a highly effective coolant

Hasadi

Crapper

2017

Applied Thermal Engineering

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We propose a new self-propelled nanofluid having advantageous thermal and rheological properties at the same time. The nanofluid consists of a low volume fraction of self-propelled particles known as Artificial Bacterial Flagella (ABF), which will swim as pushers in a manner similar to the swimming of E-coil microorganisms with flagella. A theoretical model is introduced, describing the mechanisms responsible for the reduction of viscosity. The model shows that the swimming velocity of the particle and its geometry play an essential role in the reduction of the suspension viscosity. The results obtained from the theoretical model compare qualitatively with experiments in the literature. The model shows a significant decrease in viscosity at very low volume fractions, and that the viscosity of the suspension is reduced as the volume fraction of the particles increases. Using an in-house finite volume code, we numerically simulate natural convection effects in our ABF self-propelled nanofuid inside a square cavity heated from its vertical sides. Simulations are conducted at volume fractions of 0.7%, 0.8% and 0.83%, comparing the performance of a self-propelled nanofluid with conventional non-active nanofluids (i.e. carbon nanotubes in water). The results show that the heat transfer rate measured by the Nusselt number is three times higher than for the case of classical nanofluids and pure water at the same operating conditions and 0.83% volume fraction of particles. Also, due to the very dilute volume fractions of particles in the proposed nanofluid, their stability can endure for long operating times. There is also a significant decrease in the viscosity (around 25 times lower than water) which will result in a significant reduction in the pumping power.2

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Rheological behaviour of nanofluids: A review

Cited by 286 publications

References 131 publications

Particle image diffusometry: Resolving diffusion coefficient field from microscopy movie data without particle tracking

Particle image diffusometry: Resolving diffusion coefficient field from microscopy movie data without particle tracking

Fabrication and Characterization of Carbon-Based Nanofluids through the Water Vortex Trap Method

Self-propelled nanofluids a path to a highly effective coolant

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