A review on nanofluid: preparation, stability, thermophysical properties, heat transfer characteristics and application

Ali, Abu Raihan Ibna; Salam, Bodius

doi:10.1007/s42452-020-03427-1

Cited by 184 publications

(96 citation statements)

References 130 publications

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“…The thermophysical properties of pure water and Al 2 O 3 nanoparticles were given in Table 1. The thermophysical properties of nanofluids can be calculated by the following equations [31]:…”

Section: Nanofluids Propertiesmentioning

confidence: 99%

Self-Excited Counterflow Disturbance and Heat Transfer Characteristics of Al2O3–Water Nanofluids

Yuan

Wang

et al. 2022

Journal of Thermophysics and Heat Transfer

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A numerical study of the heat transfer and flow resistance performance of Al 2 O 3 -water nanofluids in selfoscillating hot runners with different chamber lengths was performed. The control volume method based on the Semi-Implicit Method for Pressure Linked Equations (SIMPLE) algorithm was used to numerically solve the governing equations of the two-dimensional computational domain. The inlet flow rate was determined according to the Reynolds number (10;000 < Re < 50;000), and the uniform temperature was applied to the wall of the hot runner. The effects of chamber length and volume fraction on the heat transfer performance of nanofluids vortex pulsation were described by temperature, thermal boundary-layer thickness, pulsation frequency, Nusselt number, pressure drop, and heat transfer performance evaluation index. The simulation outcomes indicated that the counterflow vortex can reduce the thermal boundary-layer thickness and increase the mixing degree between the central mainstream region and the wall. It was also observed that the heat transfer performance increases with the increase of the chamber length. When L∕d 1 5.6, the heat transfer performance is the highest, and the main frequency (f 398.01 HZ) at the center of the chamber corresponds to the pressure pulsation amplitude of 35,982.6 Pa.

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Section: Nanofluids Propertiesmentioning

confidence: 99%

Self-Excited Counterflow Disturbance and Heat Transfer Characteristics of Al2O3–Water Nanofluids

Yuan

Wang

et al. 2022

Journal of Thermophysics and Heat Transfer

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“…The NePCM’s density is evaluated invoking a linear rule of mixtures (Equation (10a,b))

in which υ na is the volumetric concentration of nanoparticles in the PCM. The Brinkman model (Equation (10c)) is utilized to estimate the dynamic viscosity [ 47 ].

…”

Section: Mathematical Modelmentioning

confidence: 99%

Phase-Transition Thermal Charging of a Channel-Shape Thermal Energy Storage Unit: Taguchi Optimization Approach and Copper Foam Inserts

et al. 2021

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Thermal energy storage is a technique that has the potential to contribute to future energy grids to reduce fluctuations in supply from renewable energy sources. The principle of energy storage is to drive an endothermic phase change when excess energy is available and to allow the phase change to reverse and release heat when energy demand exceeds supply. Unwanted charge leakage and low heat transfer rates can limit the effectiveness of the units, but both of these problems can be mitigated by incorporating a metal foam into the design of the storage unit. This study demonstrates the benefits of adding copper foam into a thermal energy storage unit based on capric acid enhanced by copper nanoparticles. The volume fraction of nanoparticles and the location and porosity of the foam were optimized using the Taguchi approach to minimize the charge leakage expected from simulations. Placing the foam layer at the bottom of the unit with the maximum possible height and minimum porosity led to the lowest charge time. The optimum concentration of nanoparticles was found to be 4 vol.%, while the maximu possible concentration was 6 vol.%. The use of an optimized design of the enclosure and the optimum fraction of nanoparticles led to a predicted charging time for the unit that was approximately 58% shorter than that of the worst design. A sensitivity analysis shows that the height of the foam layer and its porosity are the dominant variables, and the location of the porous layer and volume fraction of nanoparticles are of secondary importance. Therefore, a well-designed location and size of a metal foam layer could be used to improve the charging speed of thermal energy storage units significantly. In such designs, the porosity and the placement-location of the foam should be considered more strongly than other factors.

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“…Ali and Salam [18] have reviewed the preparation, characterization, stability and heat transfer mechanisms of nanofluid and summarized them.…”

Section: Literature Reviewmentioning

confidence: 99%

Effect of moisture and sonication time on dielectric strength and heat transfer performance of transformer oil based Al2O3 nanofluid

Babu¹,

Kumar²,

Babu³

2021

IJATEE

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Power transformer's role is very much critical in transmission and distribution of electricity to the consumers from power stations. The insulating liquid is crucial to the performance of the transformer [1]. Transformers expose to various stresses like thermal, electric, and chemical during their operation. Periodical check-ups and maintenance of insulating oil in the transformer are very much required to prevent sudden failure [2]. One of the most detrimental elements to transformer paper and oil insulation is moisture. It weakens the dielectric and lowers the partial discharge (PD) inception voltage, affects the electrical characteristics [3]. Aging and external causes are the two most important variables that encourage moisture intrusion in transformers. The moisture equilibrium characteristics of oil and paper insulation are well-known and broadly applied to estimate how much moisture is involved. *Author for correspondence Oil, on the other hand, can loses its insulating properties if it is polluted by moisture, particles, or a combination of the two [4]. Moisture contamination is thought to happen when voltage load taps are changed, allowing moisture and gases to absorb. The deterioration of the paper insulation between the transformer windings causes particle pollution [5].Transformers are built to withstand large loads, such as emergency and cold load pickup circumstances. As the load on the transformer grows, the internal temperature rises which in turn reduces the transformer's typical life expectancy. This process might take anything from months to years. Characteristics of a good cooling liquid include high thermal conductivity, low viscosity, high specific heat, high dielectric strength (in case of direct liquid cooling), high surface tension, chemical inertness, chemical stability, low freezing point, and melting points, and low cost. Insulating liquids need to retain their electrical and thermo-physical properties for a long time [6]. But in practice, after using those oils for a long time they lose their properties. In order to

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A review on nanofluid: preparation, stability, thermophysical properties, heat transfer characteristics and application

Cited by 184 publications

References 130 publications

Self-Excited Counterflow Disturbance and Heat Transfer Characteristics of Al2O3–Water Nanofluids

Self-Excited Counterflow Disturbance and Heat Transfer Characteristics of Al2O3–Water Nanofluids

Phase-Transition Thermal Charging of a Channel-Shape Thermal Energy Storage Unit: Taguchi Optimization Approach and Copper Foam Inserts

Effect of moisture and sonication time on dielectric strength and heat transfer performance of transformer oil based Al2O3 nanofluid

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