Characterization and analysis of Porous, Brittle solid structures by X-ray micro computed tomography

Lin, Chenyu; Videla, Álvaro; Yu, Qiang; Miller, Jan D.

doi:10.1007/s11837-010-0188-2

Cited by 10 publications

(6 citation statements)

References 16 publications

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“…Work has also been published on the use of X-ray CT for characterizing polymer foams and closed-celled metal foams [28,31,[35][36][37][38][39]. The current approach is to obtain geometric data for several Duocel® Al-6106-T6 open-cell metal foam samples of varying porosities using X-ray CT, and to use the results for a comparison to idealized geometries.…”

Section: Methodsmentioning

confidence: 99%

Geometric classification of open-cell metal foams using X-ray micro-computed tomography

Bock

Jacobi

2013

Materials Characterization

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Section: Methodsmentioning

confidence: 99%

Geometric classification of open-cell metal foams using X-ray micro-computed tomography

Bock

Jacobi

2013

Materials Characterization

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Section: Region Growingmentioning

confidence: 99%

“…Marker-controlled watershed segmentation has been applied to 3D µCT images for several analyses by Miller et al [22,89,90]. 3D watershed segmentation has been applied to different types of µCT image analysis, including coal washability analysis [89], air bubble sizes [90], as well as analysis of particle beds [22]. Wang et al [22] identified that 3D watershed segmentation works best for mineral particles greater than the scale parameter (particle size/voxel size ratio of 30) and density lower than 4.0 g/cc.…”

Section: Region Growingmentioning

confidence: 99%

X-ray Microcomputed Tomography (µCT) for Mineral Characterization: A Review of Data Analysis Methods

et al. 2019

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The main advantage of X-ray microcomputed tomography (µCT) as a non-destructive imaging tool lies in its ability to analyze the three-dimensional (3D) interior of a sample, therefore eliminating the stereological error exhibited in conventional two-dimensional (2D) image analysis. Coupled with the correct data analysis methods, µCT allows extraction of textural and mineralogical information from ore samples. This study provides a comprehensive overview on the available and potentially useful data analysis methods for processing 3D datasets acquired with laboratory µCT systems. Our study indicates that there is a rapid development of new techniques and algorithms capable of processing µCT datasets, but application of such techniques is often sample-specific. Several methods that have been successfully implemented for other similar materials (soils, aggregates, rocks) were also found to have the potential to be applied in mineral characterization. The main challenge in establishing a µCT system as a mineral characterization tool lies in the computational expenses of processing the large 3D dataset. Additionally, since most of the µCT dataset is based on the attenuation of the minerals, the presence of minerals with similar attenuations limits the capability of µCT in mineral segmentation. Further development on the data processing workflow is needed to accelerate the breakthrough of µCT as an analytical tool in mineral characterization.

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“…Pyrophyllite was selected as a reasonable standard that has no porosity to compare with consolidated HNTs. The ratio of X-ray attenuation for consolidated HNTs to pyrophyllite is reported as the micro-XCT estimated porosity for consolidated HNT, similar to a previous study on porous and brittle solid structures [17]. To validate the total porosity estimated by X-ray attenuation, the He porosimetry of natural consolidated HNTs was measured using an Ultra-Pore 300TM porosimeter manufactured by Core Laboratories.…”

Section: Porosity By X-ray Attenuation In Micro-x-ray Computed Tomography (Micro-xct)mentioning

confidence: 62%

Characterization of Natural Consolidated Halloysite Nanotube Structures

et al. 2021

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Halloysite is a unique 1:1 clay mineral frequently appearing with nanotubular morphology, and having surfaces of different polarity with interesting and important technological applications. HNTs can be consolidated naturally in the earth by pressure and thermal flows. In this study of natural consolidated HNTs, the strength and hardness of these materials were found to be dependent on the presence of impurities (gibbsite, alunite, quartz, and other silica minerals), which accounted for the increased stability of such samples. In the absence of impurities, the strength of consolidated HNTs was significantly lower. The first 3D mapping of the pore structure of natural consolidated HNT is provided. The contributions of the porosity within the nanotubes and between the nanotubes were delineated using a combination of non-invasive ultra-small and small-angle X-ray scattering (USAXS/SAXS) analyses, BET/BJH pore size analyses, and computed tomography studies. A total porosity of 40%, as determined by X-ray attenuation and He porosimetry, was found for the natural consolidated HNTs, of which about one-third was due to the inter-HNT porosity. Nano-X-ray computed tomography (nano-XCT) analyses also indicated that 76% of the inter-HNT pores were smaller than 150 nm in diameter. The intra-HNT pore size determined by combined USAXS/SAXS and BET/BJH was about 10 nm. This pore network information is essential for the utilization of natural consolidated HNTs as a model geomaterial to investigate the effects of surface characteristics on confined fluid flow.

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Characterization and analysis of Porous, Brittle solid structures by X-ray micro computed tomography

Abstract: City, Utah 84112 USA. Dr. Miller can be reached at (801) 581-5160; fax (801) 581-4937; e-mail Jan. Miller@utah.edu.

Cited by 10 publications

References 16 publications

Geometric classification of open-cell metal foams using X-ray micro-computed tomography

Geometric classification of open-cell metal foams using X-ray micro-computed tomography

X-ray Microcomputed Tomography (µCT) for Mineral Characterization: A Review of Data Analysis Methods

Characterization of Natural Consolidated Halloysite Nanotube Structures

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