micro-XRCT datasets of stochastically reconstructed 3D porous media micromodels manufactured by additive manufacturing (doi:10.18419/darus-3243)

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micro-XRCT datasets of stochastically reconstructed 3D porous media micromodels manufactured by additive manufacturing

doi:10.18419/darus-3243

DaRUS

2023-09-06

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Ruf, Matthias; Lee, Dongwon; Yiotis, Andreas; Steeb, Holger, 2023, "micro-XRCT datasets of stochastically reconstructed 3D porous media micromodels manufactured by additive manufacturing", https://doi.org/10.18419/darus-3243, DaRUS, V1

micro-XRCT datasets of stochastically reconstructed 3D porous media micromodels manufactured by additive manufacturing

doi:10.18419/darus-3243

Ruf, Matthias (University of Stuttgart, Institute of Applied Mechanics (CE))

Lee, Dongwon (University of Stuttgart, Institute of Applied Mechanics (CE))

Yiotis, Andreas (Technical University of Crete, School of Mineral Resources Engineering)

Steeb, Holger (University of Stuttgart, Institute of Applied Mechanics (CE) & SC SimTech)

Ruf, Matthias

Lee, Dongwon

Steeb, Holger

Porous Media Lab

2022

SFB 1313 ‐ 327154368

EXC 2075 - 390740016

DaRUS

Steeb, Holger

Yiotis, Andreas

https://doi.org/10.18419/darus-3243

Computer and Information Science, Earth and Environmental Sciences, Engineering, Micro X-Ray Computed Tomography (micro-XRCT), X-Ray Microtomography, Porous Media, Porous Medium, Additive Manufacturing, 3D Printing, Material Jetting (MJ)

This dataset contains micro X-ray Computed Tomography (micro-XRCT) scan data sets (projection, reconstructed, and binarized images) of 3D porous media micromodels manufactured by additive manufacturing using the Material Jetting (MJ) method. <br><br> The micromodel geometries were designed using the stochastic model proposed by Quiblie (1984), Adler et al. (1990), and Hyman et al. (2014). For this study, four samples were fabricated, all possessing the same porosity of 0.45, but with varying correlation lengths (id: 15, 25, 35, and 45) that define the pore size distribution. The four cylindrical samples have a length of 50 mm and a diameter of 16 mm. For more details, see the related publication Lee et al. (2023) <br><br> The samples were completely scanned. Due to the limitation of the field of view at the required resolution, first the bottom part followed by the top part of the respective sample was scanned. Reconstruction was carried out separately for the top and bottom scans. Merging of the bottom and top parts was performed based on the reconstructed images. During the merging process, duplicated slices were naturally eliminated. The grayscale images obtained after the reconstruction and merging processes underwent segmentation, distinguishing between solid phase and pore space regions based on intensity values. Subsequently, the misclassified voxels resulting from the inherent noise in the micro-XRCT data were adjusted accordingly by assessing the connectivity between pixels (isolated pixels were reclassified to the neighboring class). <br><br> Simulations using the lattice Boltzmann method to determine the permeability of the scanned mircomodels can be found in the related dataset Lee et al. (2023).

Image data

Lee, D., Ruf, M., Steeb, H, & Yiotis, A. (2023). Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm. <a href="https://doi.org/10.18419/darus-3244">https://doi.org/10.18419/darus-3244</a>

Lee, D., Ruf, M., Karadimitriou, N., Steeb, H., Manousidaki, M., Varouchakis, E.A., Tzortzakis, S., & Yiotis, A.(2023). Development of stochastically reconstructed 3D porous media micromodels using additive manufacturing: numerical and experimental validation. <em>Scientific Reports</em>, submitted.

Lee, D., Ruf, M., Karadimitriou, N., Steeb, H., Manousidaki, M., Varouchakis, E.A., Tzortzakis, S., & Yiotis, A.(2023). Development of stochastically reconstructed 3D porous media micromodels using additive manufacturing: numerical and experimental validation. <em>Scientific Reports</em>, submitted.

Ruf, M., & Steeb, H. (2020). An open, modular, and flexible micro X-ray computed tomography system for research. <em>Review of Scientific Instruments</em>, 91(11), 113102. <a href="https://doi.org/10.1063/5.0019541">https://doi.org/10.1063/5.0019541</a><br><br>

Quiblier, J. A. (1984). A new three-dimensional modeling technique for studying porous media. <em>J. Colloid Interface Sci.</em>, 98, 84-102. <a href="https://doi.org/10.1016/0021-9797(84)90481-8">https://doi.org/10.1016/0021-9797(84)90481-8</a><br><br>

Adler, P., Jacquin, C., & Quiblier, J. (1990). Flow in simulated porous media. <em>Int. J. Multiph. Flow</em>, 16, 691-712. <a href="https://doi.org/10.1016/0301-9322(90)90025-E">https://doi.org/10.1016/0301-9322(90)90025-E</a><br><br>

Hyman, J. D., & Winter, C. L (2014). Stochastic generation of explicit pore structures by thresholding gaussian random fields. <em>J. Comput. Phys.</em> 277, 16-31. <a href="https://doi.org/110.1016/j.jcp.2014.07.046">https://doi.org/110.1016/j.jcp.2014.07.046</a><br><br>

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id15_binarized.tar.gz

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Binarized micro-XRCT data set in 8 bit *.tif file format. 625x625x1691 voxels with a uniform voxel size of 28.0 µm (2x2x2 binned).

application/x-gzip

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id15_projections.tar.gz

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Projection images (360 deg, angle increment 0.2 deg, top and bottom part), dark image (di) and open beam image (ob) in 16 bit *.tif file format. (internal ID: 20220215_02)

application/x-gzip

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id15_reconstructed.tar.gz

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Reconstructed micro-XRCT data sets (top and bottom part) in 16 bit *.tif file format. 1250x1250x2305 voxels each (cropped) with a uniform voxel size of 14.0 µm. (internal ID: 20220215_02)

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id25_binarized.tar.gz

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Binarized micro-XRCT data set in 8 bit *.tif file format. 625x625x1750 voxels with a uniform voxel size of 28.0 µm (2x2x2 binned).

application/x-gzip

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id25_projections.tar.gz

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Projection images (360 deg, angle increment 0.2 deg, top and bottom part), dark image (di) and open beam image (ob) in 16 bit *.tif file format. (internal ID: 20220214_02)

application/x-gzip

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id25_reconstructed.tar.gz

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Reconstructed micro-XRCT data sets (top and bottom part) in 16 bit *.tif file format. 1250x1250x2305 voxels each with a uniform voxel size of 14.0 µm. (internal ID: 20220214_02)

application/x-gzip

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id35_binarized.tar.gz

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Binarized micro-XRCT data set in 8 bit *.tif file format. 625x625x1717 voxels with a uniform voxel size of 28.0 µm (2x2x2 binned).

application/x-gzip

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id35_projections.tar.gz

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Projection images (360 deg, angle increment 0.2 deg, top and bottom part), dark image (di) and open beam image (ob) in 16 bit *.tif file format. (internal ID: 20220216_01)

application/x-gzip

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id35_reconstructed.tar.gz

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Reconstructed micro-XRCT data sets (top and bottom part) in 16 bit *.tif file format. 1250x1250x2305 voxels each with a uniform voxel size of 14.0 µm. (internal ID: 20220216_01)

application/x-gzip

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id45_binarized.tar.gz

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Binarized micro-XRCT data set in 8 bit *.tif file format. 625x625x1655 voxels with a uniform voxel size of 28.0 µm (2x2x2 binned).

application/x-gzip

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id45_projections.tar.gz

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Projection images (360 deg, angle increment 0.2 deg, top and bottom part), dark image (di) and open beam image (ob) in 16 bit *.tif file format. (internal ID: 20220216_03)

application/x-gzip

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id45_reconstructed.tar.gz

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Reconstructed micro-XRCT data sets (top and bottom part) in 16 bit *.tif file format. 1250x1250x2305 voxels each with a uniform voxel size of 14.0 µm. (internal ID: 20220216_03)

application/x-gzip