Computational characterization techniques applied to pore network models by using a fast percolation algorithm

نویسندگان

چکیده

Nitrogen Sorption, Mercury Porosimetry, and Nuclear Magnetic Resonance Cryoporometry are characterization techniques used to obtain qualitative quantitative information about the textural properties of porous materials. The physical phenomena exploited in each technique related mechanical thermodynamic equilibria conditioned by pore blocking. latter phenomenon becomes relevant highly disordered solids with a broad size distribution multilevel organization. listed above contain topological shape their characteristic curves. In this work, it is shown how network model can be characterized numerically using computationally efficient algorithms for technique. These combine equilibrium conditions invasion percolation considerations. Such simulation tools form basis more comprehensive treatment experimental curves

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ژورنال

عنوان ژورنال: Chemical Engineering Science

سال: 2022

ISSN: ['1873-4405', '0009-2509']

DOI: https://doi.org/10.1016/j.ces.2022.117812