A Permeability–Throat Diameter Correlation for a Medium Generated with Delaunay Tessellation and Voronoi Algorithm

Encalada, Ángel; Barzola-Monteses, Julio; Espinoza‐Andaluz, Mayken

doi:10.1007/s11242-020-01387-z

Cited by 12 publications

(7 citation statements)

References 33 publications

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“…The coordination number or connectivity of a pore network is easily obtained by analyzing the abutting pores and throats and counting the number of throats connected to each pore [29].…”

Section: Characterization Techniquesmentioning

confidence: 99%

Porosity properties of porous ceramic substrates added with zinc and magnesium material

Bouras

Mecif

Barille

et al. 2020

Ceramics International

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“…The coordination number or connectivity of a pore network is easily obtained by analyzing the abutting pores and throats and counting the number of throats connected to each pore [29].…”

Section: Characterization Techniquesmentioning

confidence: 99%

Porosity properties of porous ceramic substrates added with zinc and magnesium material

Bouras

Mecif

Barille

et al. 2020

Ceramics International

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“…At the macroscopic scale, we observe a strong correlation between the average throat diameter and macroscopic permeability of various porous media. The data points from different sources (Encalada et al, 2020;Lala & El-Sayed, 2017;LU et al, 2018;Pang et al, 2018) Law (Ozgumus et al, 2014). This indicates that there are strong connections between the pore structure and the fluid flow characteristics, and that the connections exist at both micro-and macroscales.…”

Section: Xtmentioning

confidence: 92%

Investigation of flow characteristics of landslide materials through pore space topology and complex network analysis

Jia

Yang

et al. 2021

Preprint

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Unlike embankments, earth dams, and other man-made structures, most landslide dams are formed by rapid accumulation of rock or debris rather than mechanical compaction; thus, they are loose and pose a great risk of seepage failure. Landslide materials usually have complex pore structures with randomly distributed pores of various sizes, making the flow and transport processes very complex. Aiming at these challenges, we have studied the influences of pore structure on the micro-and macroscale flow characteristics of landslide materials. First, landslide materials are simplified as spherical granular packings with wide grain size distributions. Then, we use finite difference method (FDM) and lattice Boltzmann method (LBM) to simulate the fluid flow through granular packings and calculate their permeability. We find that both the correlation between pore-scale velocity and throat diameters and the correlation between macroscopic permeability and average throat diameters follow a power-law scaling with an exponent close to 2, in agreement with the Hagen-Poiseuille equation for laminar flow in pipes, suggesting that the relationships in complex pore structures are conformed with the simple theory. Moreover, we propose a new method by combining pore networks and complex networks to characterize the pore structure. The network analysis illustrates that granular packings with different permeability display distinctive distributions of pore throat size and pore connectivity and their correlations. Compared with disassortative pore networks, assortative ones generally have higher permeability. Furthermore, pores with larger closeness centrality have higher flow efficiency that results in higher macroscopic permeability.

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“…The porous media used in this study require 600 pores stochastically distributed throughout the whole volume. A previous study by the authors has shown that geometric shapes with spheres and cylinders have a good approximation of the porous media's natural material [19].…”

Section: Gdl Generationmentioning

confidence: 94%

“…Based on the average velocity obtained from the flow distribution of the Stokes flow and pressure gradient, the hydraulic permeability is calculated by using Equation ( 6), named Darcy's law [19]:…”

Section: Hydraulic Permeabilitymentioning

confidence: 99%

Transport Parameter Correlations for Digitally Created PEFC Gas Diffusion Layers by Using OpenPNM

et al. 2021

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A polymer electrolyte fuel cell (PEFC) is an electrochemical device that converts chemical energy into electrical energy and heat. The energy conversion is simple; however, the multiphysics phenomena involved in the energy conversion process must be analyzed in detail. The gas diffusion layer (GDL) provides a diffusion media for reactant gases and gives mechanical support to the fuel cell. It is a complex medium whose properties impact the fuel cell’s efficiency. Therefore, an in-depth analysis is required to improve its mechanical and physical properties. In the current study, several transport phenomena through three-dimensional digitally created GDLs have been analyzed. Once the porous microstructure is generated and the transport phenomena are mimicked, transport parameters related to the fluid flow and mass diffusion are computed. The GDLs are approximated to the carbon paper represented as a grouped package of carbon fibers. Several correlations, based on the fiber diameter, to predict their transport properties are proposed. The digitally created GDLs and the transport phenomena have been modeled using the open-source library named Open Pore Network Modeling (OpenPNM). The proposed correlations show a good fit with the obtained data with an R-square of approximately 0.98.

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A Permeability–Throat Diameter Correlation for a Medium Generated with Delaunay Tessellation and Voronoi Algorithm

Cited by 12 publications

References 33 publications

Porosity properties of porous ceramic substrates added with zinc and magnesium material

Porosity properties of porous ceramic substrates added with zinc and magnesium material

Investigation of flow characteristics of landslide materials through pore space topology and complex network analysis

Transport Parameter Correlations for Digitally Created PEFC Gas Diffusion Layers by Using OpenPNM

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