Abstract
This paper considers the development of a virtual permeameter where x-ray microtomography (XMT) is used to capture microstructural details which are subsequently used as input to a lattice Boltzmann method (LBM) for simulating the flow through porous media. The creation of such a permeameter that would enable the structure-flow relationships of bulk porous media to be assessed based on the microstructural details of small samples is of value in the performance assessment of filters used in a wide range of chemical and process engineering applications. The paper highlights a sensitivity analysis on the use of LBM for predicting, in conjunction with XMT, the permeability of packed beds, as well as its ability to predict permeability and filtration performance with validation against data gathered on the flow through beds of spherical particles. The work demonstrates that, with sufficient care, it is possible to use small representative samples of porous media for use as input to LBM to permit the accurate prediction of the bulk media permeability and filtration performance.
Published Version
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