Review of computational multi-phase approaches of nano-fluids filled systems

Habeeb, Ahmed S.; Karamallah, Abdulhassan A.; Aljabair, Sattar

doi:10.1016/j.tsep.2021.101175

Cited by 14 publications

(5 citation statements)

References 196 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The primary phase (fluid) impacts the secondary phase (particulate) through turbulence and drag forces; the particulate phase influences the fluid phase by minimizing its mean momentum. This approach computes (the continuity, energy, momentum) of the mixture, and the concentrations for the secondary phases [41].…”

Section: Numerical Multiphase Mixture Approachmentioning

confidence: 99%

“…Several review articles concentrated on conducting the numerical single-phase and multiphase modeling of Nano-fluids with all the related physical mechanisms to set the fundamental findings [39][40][41]. Based on the literature, the experimental and numerical work on hybrid Nano-fluids is limited and few researchers considered the mixture of various types of nanoadditives.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Computational Single and Multiphase Approaches to Investigate the Hydrothermal Behavior of Hybrid Nano-fluid in Plain and Wavy Tubes

Habeeb¹,

Aljabair²,

Karamallah³

2023

ETJ

View full text Add to dashboard Cite

 A new type of hybrid Nano-fluid (Fe 3 O 4 -MgO/H 2 O) was used.  Plain and wavy tubes with turbulent flow were considered.  Two-phase models were employed for the numerical simulation.  The HTC enhancement appears to be more pronounced at φ = 2% in both tubes.  HTC increment is slightly higher with a wavy-walled tube than the plain one. The newest class of heat transfer improvement is accomplished by using hybrid Nano-fluids. Therefore, the heat transfer and pressure drop of a mixture of Iron oxide (Fe 3 O 4 ) and Magnesium oxide (MgO) nanoparticles suspended into the base fluid under a turbulent regime through a plain and wavy tube are computed employing commercial software ANSYS Fluent. A mixture of Fe 3 O 4 and MgO nanoparticles in pure water is considered a brand-new type of hybrid Nano-fluid for boosting heat transfer. The simulation procedures were performed utilizing the single and multiphase (mixture) approaches at Reynolds number in the range of (3,916 -31,331) and volume concentrations range of (0.5% ≤ φ ≤ 2%). The plain and wavy walls are subjected to a constant heat flux of 18,189 W/m 2 , and the flow is presumed as fully developed. The computed outcomes are validated with the correlation equations and experimental data of literature. The outcomes demonstrate that boosting the nanoadditives fraction leads to a remarkable improvement of heat transfer and hydrothermal performance indicator (HPI) of MgO-Fe 3 O 4 /H 2 O Hybrid Nano-fluid through the considered tubes compared with the conventional base fluid. However, the increment is slightly higher with a wavy wall tube than with the plain one. Moreover, new correlations were suggested for specific water-based hybrid Nano-fluid volume concentrations.

show abstract

Section: Numerical Multiphase Mixture Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Computational Single and Multiphase Approaches to Investigate the Hydrothermal Behavior of Hybrid Nano-fluid in Plain and Wavy Tubes

Habeeb¹,

Aljabair²,

Karamallah³

2023

ETJ

View full text Add to dashboard Cite

show abstract

“…The stratification in hot water storage tanks is commonly described using the Richardson number, an important quantity that affects fluid flow [39,40]. The Richardson number, which is represented as, measures the proportion of buoyancy forces to mixing forces.…”

Section: Richardson Numbermentioning

confidence: 99%

“…These systems concentrate sunlight onto a fluid-filled receiver using mirrors or lenses; the heat energy thus absorbed is used to generate electricity or provide hot water. The use of nanofluid as the heat transfer fluid allows the system to operate at a higher efficiency and store excess heat energy for use when sunlight is unavailable [39][40][41].…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Thermal Storage Tank with Middle Baffles Distributions

Karam,

Ibrahim,

Alesbe

et al. 2023

MMEP

View full text Add to dashboard Cite

A numerical investigation into the influence of baffle placement on thermal stratification within a vertical cylindrical cold-water tank is conducted. The tank, sporting a diameter of 400 mm and a height of 1000 mm, incorporates inlet and outlet ports of equal diameter (17.39 mm). The baffles, integral to this study, are of 200 mm in length and 2 mm in thickness. The study leverages computational methodologies to decipher the equations that govern heat transfer and fluid flow within a baffle-integrated tank. The tank commences with an initial water temperature of 4.4℃, and an inflow of water at 13.3℃, from the upper left side. Validation of the adopted tests is sought through experimental data available in extant literature. The abstract delves into the impact of baffle number and positioning on a multitude of elements-thermocline temperature, streamline creation, vortex formation, velocity vectors, Stratification Number, and Richardson Number-across varied cases during the discharging phase. The introduction of one or two baffles exerts a marginal effect on temperature distribution contours. However, a third baffle accentuates this impact, expanding the hot-cold interface with a pronounced penetration effect within the tank. Interestingly, the influence of three baffles on temperature distribution contours diminishes at a discharging time of 2173.4 s. This study provides insight into the nuanced role of baffles within thermal storage tanks, elucidating key considerations for their optimal placement and number.

show abstract

“…To elucidate the behavior of nanofluids, multiple multiphase models have been devised, with select examples presented below. The selection of an appropriate model hinges on the particular application and the degree of precision needed to accurately characterize nanofluid behavior [1].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Application of the Multiphase Eulerian Model for Nanofluids in Microchannel at Elevated Volume Fractions

Generous,

Alazzam,

Abu-Nada

2024

Proceedings of the 9th World Congress on Momentum, Heat and Mass Transfer

View full text Add to dashboard Cite

This study focuses on modeling of Al 2 O 3 -water nanofluids energy transport in a microchannel using multiphase Eulerian model. The study of the Knudsen number showed that continuum can be assumed above volume fraction 2.5%. Therefore, conservation equations can be used to solve both phases separately. In addition to conservation equation, an effort has been made to model fluid-solid interaction, solid-solid interaction, and interphase heat transfer. Various phenomenon such as shear viscosity, bulk viscosity, granular temperature, wall lubrication forces, virtual mass forces, lift, and drag forces are modelled. Moreover, interphase heat transfer is modelled. Finally, this comprehensive model is used to study heat transfer enhancement of Al 2 O 3 -water nanofluids with volume fraction of 3%, 4%, 5%, and 6%. It is found that the heat transfer increases with increase in volume fraction of the solid phase in the range considered in this study. The comparison of the average heat transfer coefficient of water with Al 2 O 3 -water nanofluids showed that heat transfer coefficient enhancement of 9.

show abstract

Review of computational multi-phase approaches of nano-fluids filled systems

Cited by 14 publications

References 196 publications

Computational Single and Multiphase Approaches to Investigate the Hydrothermal Behavior of Hybrid Nano-fluid in Plain and Wavy Tubes

Computational Single and Multiphase Approaches to Investigate the Hydrothermal Behavior of Hybrid Nano-fluid in Plain and Wavy Tubes

Numerical Simulation of Thermal Storage Tank with Middle Baffles Distributions

Exploring the Application of the Multiphase Eulerian Model for Nanofluids in Microchannel at Elevated Volume Fractions

Contact Info

Product

Resources

About