Does nanoparticles dispersed in a phase change material improve melting characteristics?

Farsani, Rouhollah Yadollahi; Raisi, Afrasiab; Nadooshan, Afshin Ahmadi; Vanapalli, Srinivas

doi:10.1016/j.icheatmasstransfer.2017.10.006

Cited by 32 publications

(7 citation statements)

References 27 publications

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“…The value of the permeability coefficient C can be expected to depend on the morphology of the mushy zone. No consensus was found on the value of the permeability coefficient in the literature [24,[43][44][45][46][47]. The effects of this parameter on numerical results are therefore reported here.…”

Section: Mathematical Formulationmentioning

confidence: 92%

Sensitivity of Numerical Predictions to the Permeability Coefficient in Simulations of Melting and Solidification Using the Enthalpy-Porosity Method

2019

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The high degree of uncertainty and conflicting literature data on the value of the permeability coefficient (also known as the mushy zone constant), which aims to dampen fluid velocities in the mushy zone and suppress them in solid regions, is a critical drawback when using the fixed-grid enthalpy-porosity technique for modelling non-isothermal phase-change processes. In the present study, the sensitivity of numerical predictions to the value of this coefficient was scrutinised. Using finite-volume based numerical simulations of isothermal and non-isothermal melting and solidification problems, the causes of increased sensitivity were identified. It was found that depending on the mushy-zone thickness and the velocity field, the solid–liquid interface morphology and the rate of phase-change are sensitive to the permeability coefficient. It is demonstrated that numerical predictions of an isothermal phase-change problem are independent of the permeability coefficient for sufficiently fine meshes. It is also shown that sensitivity to the choice of permeability coefficient can be assessed by means of an appropriately defined Péclet number.

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Section: Mathematical Formulationmentioning

confidence: 92%

Sensitivity of Numerical Predictions to the Permeability Coefficient in Simulations of Melting and Solidification Using the Enthalpy-Porosity Method

2019

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“…The A m is the mushzone constant which reflecting the morphology of melting front. The value of A m is chosen of 10 5 kg/m 3 s present study [28,37,38]. Additionally, λ is the liquid-fraction during the phase-change in temperature interval of T s < T < T l and it varies between 0 (solid) to 1 (liquid), which is defined as:…”

Section: Numerical Modelmentioning

confidence: 99%

“…However, the thermal energy storage capacity of PCMs decreases with the addition of nanoparticles. In consequence of this, many researchers have revealed the effect of adding nanoparticles inside the PCM based heat sink and/or rectangular or square enclosure [26,38,39,40,41]. For instance, Farsani et al [38] numerically studied the melting phenomenon of Al 2 O 3 nanoparticles dispersed PCM in a square cavity by varying the Rayleigh number and volume fraction.…”

mentioning

confidence: 99%

Thermal process enhancement of HNCPCM filled heat sink: Effect of hybrid nanoparticles ratio and shape

Arshad

Jabbal

Faraji

et al. 2021

International Communications in Heat and Mass Transfer

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“…However, the low thermal conductivity of PCM is the main disadvantage of its working performances. To overcome its disadvantage, many enhancement techniques have been proposed, such as using porous media/foam metals [10][11][12][13], adding nanoparticles [14][15][16], and expanding the heat transfer area by embedding fins [17][18][19][20][21] or honeycomb structures [22][23][24]. Compared to the former two methods, it is more suitable to expand the heat transfer area for latent thermal energy storage systems due to its low cost and convenience.…”

Section: Introductionmentioning

confidence: 99%

Melting Behavior of Phase Change Material in Honeycomb Structures with Different Geometrical Cores

2019

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Honeycomb structure with phase change material (PCM) is frequently used in passive thermal management devices. The geometrical shape of the honeycomb core greatly influences the melting rate of the PCM. This paper investigates the melting rates of PCM in honeycomb cores of non-hexagonal cells in comparison with that of hexagonal cell in three Rayleigh numbers. The objective is to find the optimal shape in order to reduce the melting time of the PCM. The constrained melting behaviors of PCM in triangular, quadrilateral, hexagonal, and circular honeycomb cores are numerically studied. The enthalpy porosity technique and finite volume method are used in this paper. The instantaneous liquid fraction and energy absorption of PCM in different honeycomb cores are discussed in detail. The influences of the placed orientation and aspect ratio of different cores on melting rates of PCM are considered. Results show that the melting rate of PCM in a rectangular core is always higher than the hexagonal core for the given aspect ratio and Rayleigh number. The geometrical factor (GF), which indicates the cross-sectional area per unit perimeter, is found to be an important index on the melting rate. At a small Rayleigh number, it takes a longer melting time of the PCM for the core with a larger GF. As the Rayleigh number is large, the melting time of the PCM is affected by both the GF and the orientation of the cores.

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Does nanoparticles dispersed in a phase change material improve melting characteristics?

Cited by 32 publications

References 27 publications

Sensitivity of Numerical Predictions to the Permeability Coefficient in Simulations of Melting and Solidification Using the Enthalpy-Porosity Method

Sensitivity of Numerical Predictions to the Permeability Coefficient in Simulations of Melting and Solidification Using the Enthalpy-Porosity Method

Thermal process enhancement of HNCPCM filled heat sink: Effect of hybrid nanoparticles ratio and shape

Melting Behavior of Phase Change Material in Honeycomb Structures with Different Geometrical Cores

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