Temporal instability of nanofluid layer in a circular cylindrical cavity

Awasthi, Mukesh Kumar; Dharamendra,; Yadav, Dhananjay

doi:10.1140/epjs/s11734-022-00599-2

Cited by 4 publications

(4 citation statements)

References 23 publications

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“…A Review on Phase Change Materials for Sustainability Applications by Leveraging Machine… DOI: http://dx.doi.org/10.5772/intechopen.114380 energy, in particular, has gained global traction due to its universal availability and potential in power production, drying, and space heating [58][59][60][61][62]. Enhancements in Solar Air Heaters (SAH) efficiency through ribbed heating surfaces and PCM [63][64][65], alongside the development of computational and mathematical models for PCM and nanofluids [66][67][68][69], mark significant progress. Yet solar power systems face challenges such as irregular energy supply, efficiency fluctuations [70], and nighttime power generation gaps.…”

Section: Application Of Pcm In Buildings: Encapsulated Pcm (A) Intern...mentioning

confidence: 99%

“…Some agents enhance PCM thermal conductivity, improving heat distribution and extraction, further minimizing supercooling, and boosting thermal energy storage effectiveness. Additionally, they contribute to a more homogeneous PCM mixture, preventing uneven supercooling and ensuring uniform phase change behavior [69,79].…”

Section: Mechanisms and Benefits Of Gelling Agentsmentioning

confidence: 99%

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A Review on Phase Change Materials for Sustainability Applications by Leveraging Machine Learning

Kumar,

Banerjee

2024

Energy Consumption, Conversion, Storage, and Efficiency

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Phase change materials (PCMs) have been envisioned for thermal energy storage (TES) and thermal management applications (TMAs), such as supplemental cooling for air-cooled condensers in power plants (to obviate water usage), electronics cooling (to reduce the environmental footprint of data centers), and buildings. In recent reports, machine learning (ML) techniques have been deployed to improve the sustainability, performance, resilience, robustness, and reliability of TES platforms that use PCMs by leveraging the Cold Finger Technique (CFT) to avoid supercooling (since supercooling can degrade the effectiveness and reliability of TES). Recent studies have shown that reliability of PCMs can be enhanced using additives, such as nucleators and gelling agents, including for organic (paraffin wax) and inorganic (e.g., salt hydrates and eutectics) PCMs. Additionally, material compatibility studies for PCMs with different metals and alloys have also garnered significant attention. Long-term studies for demonstrating the material stability and reliability of candidate PCMs will be summarized in this review book chapter.

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Section: Application Of Pcm In Buildings: Encapsulated Pcm (A) Intern...mentioning

confidence: 99%

Section: Mechanisms and Benefits Of Gelling Agentsmentioning

confidence: 99%

A Review on Phase Change Materials for Sustainability Applications by Leveraging Machine Learning

Kumar,

Banerjee

2024

Energy Consumption, Conversion, Storage, and Efficiency

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“…Further, a 25.41% decrease in the rate of heat transfer was observed with a change in the inclination angle from 0 to π/9. Awasthi et al [18] performed a temporal instability analysis of a nanoliquid layer in a circular cylindrical cavity. They found that the stability in the system was affected by the nanoparticle volume fraction.…”

Section: Nanofluid Flow In Trapezoidal/circular/annular Cavitiesmentioning

confidence: 99%

Transport phenomena of nanofluids in cavities: current trends and applications

Sivaraj

Banerjee

2022

Eur. Phys. J. Spec. Top.

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This special issue encompasses the experimental and theoretical investigations on transport phenomena of nanofluids in cavities. The contributions are classified as follows: (1) nanofluid flow in square/rectangular cavities, (2) nanofluid flow in cavities with obstacles, (3) nanofluid flow in wavy enclosures, (4) nanofluid flow in trapezoidal/circular/annular cavities, and (5) nanofluid flow in enclosures.

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“…Awasthi et al 26 investigated the RTI at the interface of a nanofluid and viscous fluid in a cylindrical cavity. The viscous irrotational theory was employed and the dispersion relation was achieved.…”

Section: Introductionmentioning

confidence: 99%

Stability analysis of water-alumina nanofluid film at the spherical interface

Agarwal

Awasthi

Shukla

2023

Proceedings of the Institution of Mechanical Engineers, Part E:

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The interface of a viscous fluid and [Formula: see text]-water nanofluid is analyzed through linear instability analysis in a spherical configuration. The viscous fluid lies inside the sphere while the outside region contains nanofluid. In this model, the viscosity of the nanofluid is considered a function of the base fluid viscosity, nanoparticles volume fraction, fractal aggregates, and nanoparticles shape. The perturbed flow is taken as irrotational, and the linear perturbation equations are solved through viscous irrotational theory. The perturbations growth rate can be computed through a 2-degree polynomial and the coefficients of this polynomial are the functions of the Atwood number, Richardson number, Weber number, Reynolds number, etc. The nanofluid interface is found more stable than the viscous fluid interface. The density of nanofluids raises the amplitude of disturbances while the nanofluid's viscosity has a reverse effect.

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Temporal instability of nanofluid layer in a circular cylindrical cavity

Cited by 4 publications

References 23 publications

A Review on Phase Change Materials for Sustainability Applications by Leveraging Machine Learning

A Review on Phase Change Materials for Sustainability Applications by Leveraging Machine Learning

Transport phenomena of nanofluids in cavities: current trends and applications

Stability analysis of water-alumina nanofluid film at the spherical interface

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