Application of shape factor to determine the permeability of perfusive particles

Albusairi, Bader; Hsu, Jong-Ping

doi:10.1016/s1385-8947(02)00031-1

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…Perfusive particle permeability is either measured experimentally,35 then modified later by Albusairi and Hsu36 based on the shape factor, or estimated theoretically by using the Carmen–Kozeney equation (Eq. 29), as discussed in detail by Whitney et al,37 where b sp is the diameter of the subparticle or the agglomerate of subparticles, depending on the perfusive particle structure used …”

Section: Theorymentioning

confidence: 99%

Dispersion coefficient prediction within a bed packed with perfusive particles

Albusairi¹,

Hsu²

2005

AIChE Journal

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Section: Theorymentioning

confidence: 99%

Dispersion coefficient prediction within a bed packed with perfusive particles

Albusairi¹,

Hsu²

2005

AIChE Journal

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“…In 1956, Darcy et al [17] experimentally studied the seepage of water flow through saturated sand particles. Friction between a fluid and pores in porous media (viscous resistance) was shown to be the main resistance to fluid flow, and the pressure drop (∆P)…”

Section: Introductionmentioning

confidence: 99%

Unlocking the Thermal Efficiency of Irregular Open-Cell Metal Foams: A Computational Exploration of Flow Dynamics and Heat Transfer Phenomena

Xu,

Wu,

Chen

et al. 2024

Energies

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An open-cell metal foam has excellent characteristics such as low density, high porosity, high specific surface area, high thermal conductivity, and low mass due to its unique internal three-dimensional network structure. It has gradually become a new material for enhanced heat transfer in industrial equipment, new compact heat exchangers, microelectronic device cooling, etc. This research established a comprehensive three-dimensional structural model of open-cell metal foams utilizing Laguerre–Voronoi tessellations and employed computational fluid dynamics to investigate its flow dynamics and coupled heat transfer performance. By exploring the impact of foam microstructure on flow resistance and heat transfer characteristics, the study provided insights into the overall convective heat transfer performance across a range of foam configurations with varying pore densities and porosities. The findings revealed a direct correlation between convective heat transfer coefficient (h) and pressure drop (ΔP) with increasing Reynolds number (Re), accompanied by notable changes in fluid turbulence kinetic energy (e) and temperature (T), ultimately influencing heat transfer efficiency. Furthermore, the analysis demonstrated that alterations in porosity (ε) and pore density significantly affected unit pressure drop (ΔP/L) and convective heat transfer coefficient (h). This study identified an optimal configuration, highlighting a metal foam with a pore density of 20 PPI and a porosity of 95% as exhibiting superior overall convective heat transfer performance.

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