Analysis of Pore Network in Three-dimensional (3D) Grain Bulks Using X-ray CT Images

Neethirajan, Sureshraja; Jayas, Digvir S.

doi:10.1007/s11242-007-9172-x

Cited by 6 publications

(2 citation statements)

References 27 publications

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“…With an increase in vertical pressure, the fractal dimension of the grain pile at the same location increased. Similar results were obtained by Neethirajan and Jayas (2007), who found that the complexity of the soybean pore shapes varies greatly along the horizontal direction. This study shows that the pressure effect does not reduce the complexity difference of the grain pile pore shapes.…”

Section: Simulated Porosity (L)supporting

confidence: 88%

Study of the pore structure characteristics of soybean grain piles using image processing technology

Ge,

Chen,

Liu

et al. 2023

Int. Agrophys.

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Pore structure is an important factor affecting the airflow distribution in a grain pile, and hence the variation in its structural parameters under different vertical pressures should be studied further. In this study, grain slice imaging and image processing technologies were comprehensively used to study the changes in the number, size, and shape of the pores in soybean grain piles under vertical pressures of 0, 50, 100, 150, 200, 250, and 300 kPa, and to explore the effects of vertical pressure on the porosity, pore volume, pore diameter, and pore fractal dimension of the grain piles. The results show that the porosity of the grain pile decreased with an increase in the vertical pressure, and the change rate of grain pile porosity was 28% when the vertical pressure was 0-300 kPa. When the vertical pressure increased from 50 to 300 kPa, the grain pile porosity variation increased from 6.49 to 24.33% as compared with the natural state (0 kPa). The pore area and diameter of the grain pile gradually decreased with the increase in vertical pressure. The distribution of the grain pile pore area along the horizontal direction from the side wall to centre showed great differences under different vertical pressures. With an increase in vertical pressure, the proportion of the pore diameter of < 2.5 mm increased, whereas the proportion of the pore diameter of > 2.5 mm decreased. An increase in the vertical pressure will lead to an increase in the grain pile pore fractal dimension. When the vertical pressure was 0-300 kPa, the change rate of the grain pile pore fractal dimension was 10%. The relevant research methods and conclusions drawn in this study may be used to provide theoretical support and a reference source for the airflow distribution and resistance changes in the bulk grain piles.K e y w o r d s: soybean grain pile, vertical pressure, pore structure, image processing technology

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Section: Simulated Porosity (L)supporting

confidence: 88%

Study of the pore structure characteristics of soybean grain piles using image processing technology

Ge,

Chen,

Liu

et al. 2023

Int. Agrophys.

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“…3D images of real porous media can be obtained using serial sectioning (Adler et al 1990;Lymberopoulos and Payatakes 1992;Vogel and Roth 2001;Silin and Patzek 2006;Jiang et al 2007), which can give very high resolution in the plane of the slices but is destructive and less amenable to automation. Hence, the more popular approaches are non-destructive imaging techniques such as XCT (Petrovic et al 1982;Auzerais et al 1996;Al-Raoush and Willson 2005a,b;Ruffino et al 2005;Neethirajan and Jayas 2008), MRI (Baldwin et al 1996;Botto et al 1996;Kose 1996;Pauli et al 1997), and confocal microscopy (Mickel et al 2008). Resolution in these techniques typically ranges between 0.1 and 100 µm, and the final data sets provide quantitative descriptions of the 3D pore structure.…”

Section: Network Modelingmentioning

confidence: 99%

Effect of Network Structure on Characterization and Flow Modeling Using X-ray Micro-Tomography Images of Granular and Fibrous Porous Media

2011

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Image-based network modeling has become a powerful tool for modeling transport in real materials that have been imaged using X-ray computed micro-tomography (XCT) or other three-dimensional imaging techniques. Network generation is an essential part of image-based network modeling, but little quantitative work has been done to understand the influence of different network structures on modeling. We use XCT images of three different porous materials (disordered packings of spheres, sand, and cylinders) to create a series of four networks for each material. Despite originating from the same data, the networks can be made to vary over two orders of magnitude in pore density, which in turn affects network properties such as pore-size distribution and pore connectivity. Despite the orders-of-magnitude difference in pore density, single-phase permeability predictions remain remarkably consistent for a given material, even for the simplest throat conductance formulas. Detailed explanations for this beneficial attribute are given in the article; in general, it is a consequence of using physically representative network models. The capillary pressure curve generated from quasi-static drainage is more sensitive to network structure than permeability. However, using the capillary pressure curve to extract pore-size distributions gives reasonably consistent results even though the networks vary significantly. These results provide encouraging evidence that robust network modeling algorithms are not overly sensitive to the specific structure of the underlying physically representative network, which is important given the variety image-based network-generation strategies that have been developed in recent years. 123 364 P. Bhattad et al.

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Study on the permeability evolution law and the micro-mechanism of CCL in a landfill final cover under the dry-wet cycle

Wan

Xue

Liu

2014

Bull Eng Geol Environ

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Analysis of Pore Network in Three-dimensional (3D) Grain Bulks Using X-ray CT Images

Cited by 6 publications

References 27 publications

Study of the pore structure characteristics of soybean grain piles using image processing technology

Study of the pore structure characteristics of soybean grain piles using image processing technology

Effect of Network Structure on Characterization and Flow Modeling Using X-ray Micro-Tomography Images of Granular and Fibrous Porous Media

Study on the permeability evolution law and the micro-mechanism of CCL in a landfill final cover under the dry-wet cycle

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