Numerical investigation of pressure drop in packed beds reveals flow classification and drag behavior.
Understanding fluid flow through porous media with complex geometries is essential for improving the design and operation of packed-bed reactors. Most existing studies focus on spherical packings, having as a consequence that accurate models for irregular interstitial geometries are scarce. In this study, we numerically investigated the flow through a set of packed-bed geometries consisting of square bars stacked on top of each other and arranged in disk-shaped modules. Rotation of each module allows the generation of a variety of geometrical configurations at Reynolds numbers of up to 200 (based on the bar size). Simulations were carried out using the open-source solver OpenFOAM. Selected cases (e.g., α = 30°, Re p = 100, 200) were compared against Particle Image Velocimetry measurements. Results reveal that, based on the relative rotation angle, the realized geometries can be classified as channel-like ( α ≤ 10°) and lattice-like ( α ≥ 15°), fundamentally altering the friction factor. Furthermore, the maximum friction factor obtained in the creeping regime occurred at α = 25°, whereas in the inertial regime, this occurred at α = 60°. The module-equivalent diameter, based on the angle-dependent wetted surface area, collapses the friction factor onto the Ergun correlation and yields good permeability predictions for the lattice-like geometries. • Pressure drop systematically quantified across 19 rotation angles. • Wetted surface area governs drag in non-spherical beds. • Two analytical models predict permeability of complex geometries. • Diameter ratio and tortuosity reliably classify packed-bed flow regimes.
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Demir et al. (2026) studied this question.
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