An intercomparison of the pore network to the Navier–Stokes modeling approach applied for saturated conductivity estimation from X-ray CT images

Gackiewicz, Bartłomiej; Lamorski, Krzysztof; Sławiński, Cezary; Hsu, Su Ming; Chang, Liang-Cheng

doi:10.1038/s41598-021-85325-z

Cited by 15 publications

(6 citation statements)

References 53 publications

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“…Sufian et al [41] showed that the PNMs accurately predict the drops in pressure between pores when compared to numerical solutions of the Navier-Stokes equations. Gackiewicz et al [15] also showed that PNMs computed with the maximum-ball and Delaunay method agreed with FEM solutions to the Navier-Stokes equations for sphere packed materials. PNM computation falls mainly into four categories: Delaunay tesselation of grain centers, maximum-inscribed ball transform of the void space, medial-axis transform, and watershed-based segmentation.…”

Section: Related Workmentioning

confidence: 73%

Towards replacing physical testing of granular materials with a Topology-based Model

Venkat¹,

Gyulassy²,

Kosiba³

et al. 2021

Preprint

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Fig. 1: We derive a pore network model from topological decomposition and connectivity to estimate the flow properties through a packed powder bed imaged by micro-CT. From left to right: Regions are selected from the raw micro-CT images, and the pore network model is computed; The fluid flow is solved by converting it to a resistive network, which allows the analysis of flow paths, flow through pores, and flow-permeable surface area, all of which correlate to the performance characteristics of porous solids.

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Section: Related Workmentioning

confidence: 73%

Towards replacing physical testing of granular materials with a Topology-based Model

Venkat¹,

Gyulassy²,

Kosiba³

et al. 2021

Preprint

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“…Thus, we converted the void structure into a pore network for quantitative analysis based on graph theory by regarding the pores and their interconnections as a network. 31,32 According to the watershed algorithm, the pores were segmented from the void structure via gradual thresholding based on the distance map of the void voxels and had the average volume of 1.65 × 10 4 nm 3 (Figures 4E and 6B). 33−35 The obtained network was arranged by assigning repulsive force to the pores and adding gravity between the connected pores (Figure 5A).…”

Section: Resultsmentioning

confidence: 99%

“…This highly connected porous structure of the mesoporous silica particle led to differences in the regional properties with changes in the connectivity of each fraction. Thus, we converted the void structure into a pore network for quantitative analysis based on graph theory by regarding the pores and their interconnections as a network. , According to the watershed algorithm, the pores were segmented from the void structure via gradual thresholding based on the distance map of the void voxels and had the average volume of 1.65 × 10 4 nm 3 (Figures E and B). − …”

Section: Resultsmentioning

confidence: 99%

Nanoscale Three-Dimensional Network Structure of a Mesoporous Particle Unveiled via Adaptive Multidistance Coherent X-ray Tomography

Lee,

Cho,

Song

et al. 2023

ACS Nano

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Mesoporous nanoparticles provide rich platforms to devise functional materials by customizing the three-dimensional (3D) structures of nanopores. With the pore network as a key tuning parameter, the noninvasive and quantitative characterization of these 3D structures is crucial for the rational design of functional materials. This has prompted researchers to develop versatile nanoprobes with a high penetration power to inspect various specimens sized a few micrometers at nanoscale 3D resolutions. Here, with adaptive phase retrievals on independent data sets with different sampling frequencies, we introduce multidistance coherent X-ray tomography as a noninvasive and quantitative nanoprobe to realize high-resolution 3D imaging of micrometer-sized specimens. The 3D density distribution of an entire mesoporous silica nanoparticle was obtained at 13 nm 3D resolution for quantitative physical and morphological analyses of its 3D pore structure. The morphological features of the whole 3D pore network and pore connectivity were examined to gain insight into the potential functions of the particles. The proposed multidistance tomographic imaging scheme with quantitative structural analyses is expected to advance studies of functional materials by facilitating their structure-based rational design.

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“…The microdimensional design of the geometry was the subject of our study, with due consideration given to its porosity. Consequently, there is no necessity to incorporate the porosity term into the equations as it has been accounted for within the geometry. , …”

Section: Methodsmentioning

confidence: 99%

Prediction of Asphaltene Deposition Dynamics in Various Microfluidic Geometries Using Computational Fluid Dynamics

Mohammadghasemi,

Mozaffari,

Shakouri Kalfati

et al. 2024

Energy Fuels

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Despite major advances made in visualization and quantification of the asphaltene deposition process using microfluidic systems, a robust simulation approach complementing empirical efforts to predict asphaltene deposition behavior is lacking. This study developed a novel methodology to simulate asphaltene particles' movement and deposition in different microporous geometries using a two-dimensional computational fluid dynamic. Several configurations of posts were compared to determine the effect of hydrodynamics on asphaltene deposition patterns. The COMSOL Multiphysics v.6.0 software was used to solve fluid flow equations. Two approaches were adopted: one using Newton's equations of motion coupled with fluid flow equations to obtain particle trajectories, and another involving solving fluid flow and species transport equations together with an ordinary differential equation as a boundary flux for asphaltene deposition. As particle tracking simulation is time-consuming, the second approach was chosen to predict the deposition content for longer periods. The second approach could reproduce empirical results and showed that the quantity of asphaltene deposition decreased consistently from the front to the back of a post. The decreases for circular-staggered, square, and rhombus shapes were 0.1914, 0.1676, and 0.0530%, respectively. In the circular-inline configuration, the pattern of asphaltene deposition was different due to hydrodynamic effects. Additionally, most asphaltenes were deposited on diamond-shaped posts after 30 min, around 2.7077 μ g among the porous geometries studied. This study provides a novel approach to predicting the deposition dynamics of asphaltenes and potentially other colloidal systems in a microporous geometry and allows for process optimization under real-practical conditions.

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An intercomparison of the pore network to the Navier–Stokes modeling approach applied for saturated conductivity estimation from X-ray CT images

Cited by 15 publications

References 53 publications

Towards replacing physical testing of granular materials with a Topology-based Model

Towards replacing physical testing of granular materials with a Topology-based Model

Nanoscale Three-Dimensional Network Structure of a Mesoporous Particle Unveiled via Adaptive Multidistance Coherent X-ray Tomography

Prediction of Asphaltene Deposition Dynamics in Various Microfluidic Geometries Using Computational Fluid Dynamics

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