Sensitivity of Filter Cake Permeability to Systematic Variations in Particle Shape and Size: A Bottom-Up Stochastic Analysis

The data belongs to the corresponding publication "Sensitivity of Filter Cake Permeability to Systematic Variations in Particle Shape and Size: A Bottom-Up Stochastic Analysis" with the following abstract. A key question in filtration process design is understanding the filtration properties of a specific particle system. Current methods, like the Carman-Kozeny equation, struggle to accurately predict specific cake resistance and capillary pressure from a given particle size distribution, leading to reliance on limited empirical correlations. This poses challenges for process simulation, as the transition from particle characteristics to filter cake properties remains unclear. This work aims to correlate the distribution of multi-dimensional particle properties—both size and shape—with the properties of the resulting 3D filter cake morphology. We use tomographic image data of real filter cakes to validate a stochastic 3D model which describes the relationship between particle properties and multiphase filter cake characteristics using generated virtual particles that statistically resemble the actual data. Validation is provided by filter cakes from two different particle systems: spherical glass and broken quartz particles ranging in size from 40 to 300 μm with sphericity values from 0.5 to 1. Artificial, but realistic particles following the same particle property distributions are utilized to construct virtual filter cake structures using a forced bias algorithm, which statistically represent actual cake structures. The generated virtual cake structures allow for deriving trends in permeability by systematically varying particle properties virtually.

The dataset provides the used raw data and the generated artifical cake structures which were used for the correlation of several particle, structure and process parameters of the investigated filtration process.