%0 Generic %1 lee2023numerical %A Lee, Dongwon %A Ruf, Matthias %A Yiotis, Andreas %A Steeb, Holger %D 2023 %K %R 10.18419/darus-3244 %T Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm : Dataset for the Development of Stochastically Reconstructed 3D Porous Media Micromodels using Additive Manufacturing: Numerical and Experimental Validation %X This dataset contains the outcomes of conducted numerical simulations, rooted in designs generated using a stochastic algorithm devised by Quiblie (1984), Adler et al. (1990), and Hyman et al. (2014).Moreover, the investigation employed Lattice Boltzmann simulation, as used in previous study by Psihogios et al. (2007), where the simulations were focused on determining the permeability of the formulated domains. These domains encompassed a diverse array of porosities (0.15, 0.25, 0.35, and 0.45) and a range of correlation lengths (lambda : 15, 25, 35, and 45) that define pore size distributions. Additionally, to evaluate the influence of domain size, numerical simulations were carried out across a spectrum of domain sizes ranging from 100 to 700.Furthermore, the numerical results derived from micro X-ray computed tomography scans of four micromodels (porosity : 0.45; lambda : 15, 25, 35, and 45) manufactured by additive manufacturing have also been incorporated within this dataset, for details cf. the realated dataset Ruf et al. (2023) and publication Lee et al. (2023).

@misc{lee2023numerical, abstract = {This dataset contains the outcomes of conducted numerical simulations, rooted in designs generated using a stochastic algorithm devised by Quiblie (1984), Adler et al. (1990), and Hyman et al. (2014).Moreover, the investigation employed Lattice Boltzmann simulation, as used in previous study by Psihogios et al. (2007), where the simulations were focused on determining the permeability of the formulated domains. These domains encompassed a diverse array of porosities (0.15, 0.25, 0.35, and 0.45) and a range of correlation lengths (lambda : 15, 25, 35, and 45) that define pore size distributions. Additionally, to evaluate the influence of domain size, numerical simulations were carried out across a spectrum of domain sizes ranging from 100 to 700.Furthermore, the numerical results derived from micro X-ray computed tomography scans of four micromodels (porosity : 0.45; lambda : 15, 25, 35, and 45) manufactured by additive manufacturing have also been incorporated within this dataset, for details cf. the realated dataset Ruf et al. (2023) and publication Lee et al. (2023). }, added-at = {2023-09-11T12:41:57.000+0200}, affiliation = {Lee, Dongwon/University of Stuttgart, Ruf, Matthias/University of Stuttgart, Yiotis, Andreas/Technical University of Crete, Steeb, Holger/University of Stuttgart & SC SimTech}, author = {Lee, Dongwon and Ruf, Matthias and Yiotis, Andreas and Steeb, Holger}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/26f4556d8099e368fa7ea90a26033e160/unibiblio}, doi = {10.18419/darus-3244}, howpublished = {Dataset}, interhash = {edc39ba219bf91d0b405c0d0bb9a8814}, intrahash = {6f4556d8099e368fa7ea90a26033e160}, keywords = {}, note = {Related to: 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. Scientific Reports, submitted}, orcid-numbers = {Lee, Dongwon/0000-0002-5359-7803, Ruf, Matthias/0000-0003-0299-5921, Yiotis, Andreas/0000-0003-2818-561X, Steeb, Holger/0000-0001-7602-4920}, timestamp = {2023-09-11T10:41:57.000+0200}, title = {Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm : Dataset for the Development of Stochastically Reconstructed 3D Porous Media Micromodels using Additive Manufacturing: Numerical and Experimental Validation}, year = 2023 }