Two-dimensional SEM image-based analysis of coal porosity and its pore structure

Zou, Guangui; She, Jiasheng; Peng, Suping; Yin, Quanchun; Liu, Hongbin; Che, Yuyan

doi:10.1007/s40789-020-00301-8

Cited by 57 publications

(18 citation statements)

References 26 publications

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“…The commonly used techniques to provide 2-D (surface) or 3-D (without internal structure) visualizations of micro-structures are summarized in Table 1 [9] [14]. The methods are the Scanning Tunneling Microscopes (STM) [26], the Scanning Electron Microscopes (SEM) [27][28] (it has Backscattered Electron (BSE) mode [28]), the Optical Microscopes (OM) [14], the Scanning Probe Microscopes (SPM) [26] (Subtype: Atomic Force Microscope (AFM) [29]), and Confocal Laser Scanning Microscopes (CLSM) [30]. Scanning Tunneling Microscopy (STM) is a type of electron microscopy.…”

Section: Two or Three-dimensional Methods Without Internal Structurementioning

confidence: 99%

“…Scanning Electron Microscope (SEM) is able to produce much information like surface (2D) structures, topographies, crystallines, and chemical compositions [28]. Present SEM-techniques are considered to fall within the general class of electron microscopes, which create 2D-images of different samples.…”

Section: Figure 3 Schematic Representation Of An Stm Device and An Stm-image [41]mentioning

confidence: 99%

“…The scanning process of the beam of electrons follows raster-scan-patterns, plus the beam's position relates to the intensity of the detected signal, which can produce twodimensional images [38]. Backscattered Electron (BSE) operation mode has been commonly used to characterize phases with diverse chemical bases in various materials [28]. Moreover, BSE is generally used to study porous-structure substance in which differences in atomic number are expected [27].…”

Section: Figure 3 Schematic Representation Of An Stm Device and An Stm-image [41]mentioning

confidence: 99%

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Possibilities of porous-structure representation – an overview

Szűcs

Vehovszky

2021

Acta Tech. Jaurinensis

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Porous media can be found in all areas of scientific life, such as medicine, civil engineering, material science, fluid dynamics. Computing has achieved high efficiency and computational capacity – so far. However, three-dimensional Computational Fluid Dynamics (CFD) simulations of microstructure remain significant challenges. Pore-scale simulations can help understand the physical processes and determine macroscopic parameters such as the high-frequency limit of dynamic tortuosity, viscous, and thermal characteristic lengths. Independent of whether the computational problem is two or three-dimensional, the geometry as input parameter must be prepared. For this reason, geometry representation methods play a crucial role in the analysis at the pore-scale, especially in numerical simulations. In this article, an insight into microstructures’ visualization capabilities is provided essentially for CFD simulations.

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Section: Two or Three-dimensional Methods Without Internal Structurementioning

confidence: 99%

Section: Figure 3 Schematic Representation Of An Stm Device and An Stm-image [41]mentioning

confidence: 99%

Section: Figure 3 Schematic Representation Of An Stm Device and An Stm-image [41]mentioning

confidence: 99%

See 1 more Smart Citation

Possibilities of porous-structure representation – an overview

Szűcs

Vehovszky

2021

Acta Tech. Jaurinensis

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“…SEM images to determine the projects pore area ( (Yang et al;Pentyala et al, 2018;Zou, 2020). The projected pore areas were measured using ImageJ software.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

What to Wear: The Filtration Performance of Alternative Materials Used to Construct Do-It-Yourself Masks

Mirrielees

Chen

Moreno

et al. 2021

Aerosol Air Qual. Res.

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The COVID-19 pandemic has shown that much of the world, including the United States, is illprepared for the material demands of a global crisis. In response to this shortage of Personal Protective Equipment (PPE), we have conducted filtration efficiency and pressure drop testing of a range of common materials used for constructing do-it-yourself masks, including an allergen filter, a vacuum bag, a heavy-duty tool wipe, and a standard cotton bandana, as well as a standard 3-ply surgical mask, a medical drape and an industrially available composite filter material. Size-resolved percent penetration of each material by particles with diameters ranging from 25 to 500 nm was measured at three face velocities (0.72 cm s -1 , 4.30 cm s -1 , 13.0 cm s -1 ). The allergen filter performed best, only allowing the penetration of 5% ± 3% of the 300 nm particles through the material at a face velocity of 13.0 cm s -1 , comparable to human breathing during heavy physical work. In comparison, the surgical mask and the cotton bandana allowed 39 ± 1% and 51% ± 1% of the 300 nm particles to pass through at the same face velocity, respectively. According to the calculated filter quality, the best choices for mask construction are the allergen filter, industrial composite filter, and the vacuum bag. Structure and morphology of the materials were characterized by scanning electron microscopy (SEM), image analysis, and thickness measurements to investigate physical characteristics which improve filtration. This study shows that certain household and commercially available materials and combinations can be used in the construction of highly effective face masks.

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“…Steele (1974) proposed the Frenkel‐Halsey‐Hill (FHH) model to quantify the scale‐invariance distribution of pore sizes in coal via liquid nitrogen adsorption experiments. Based on digital imaging by SEM and CT, Sarkar and Chaudhuri (1994) used the box‐counting method, a realization of R ns , to analyze the heterogeneity of pore distribution (Ghabezloo et al, 2018; Sarkar & Chaudhuri, 1994; Zou et al, 2020). Aided by 3‐D digital images, Jing et al (2017) used the fractal dimension to analyze the topology characteristic of the fracture network in coal.…”

Section: Introductionmentioning

confidence: 99%

Characterizing the Complexity Assembly of Pore Structure in a Coal Matrix: Principle, Methodology, and Modeling Application

et al. 2020

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The pore structure in a coal matrix is a dual-porosity system where fractures and pores coexist and feature scale-invariance properties, which would affect the occurrence and migration of coalbed methane (CBM) significantly. Therefore, it is of fundamental importance to well define complexity types and effectively characterize their assembly mechanism of pore structure in a coal matrix. Here we identify the pore structure in a coal matrix as a dual-complexity system consisting of original complexity and behavioral complexity independent to each other, where the former determines the scaling types of single-or dual-porosity structure, while the latter dominates the scale-invariance properties of self-similarity, self-affinity, and multifractality. Next we clarify the essentials of scale-invariance properties and unify the definition of behavioral complexity. By employing Voronoi diagrams, we develop a dual-porosity coupling algorithm to describe the original complexity and set up a mathematical framework to characterize the complexity assembly in fractal dual-porosity media. For modeling demonstration, we select some typical coal samples from different reservoirs in China, extract the scale-invariance parameters, and establish fractal topography based on mercury intrusion porosimetry (MIP) and N 2 adsorption data. Using experimental tests, mathematical derivation, and numerical simulations in combination, we reveal the principle and methodology for the characterization of the complexity assembly in a coal matrix.

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Two-dimensional SEM image-based analysis of coal porosity and its pore structure

Cited by 57 publications

References 26 publications

Possibilities of porous-structure representation – an overview

Possibilities of porous-structure representation – an overview

What to Wear: The Filtration Performance of Alternative Materials Used to Construct Do-It-Yourself Masks

Characterizing the Complexity Assembly of Pore Structure in a Coal Matrix: Principle, Methodology, and Modeling Application

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