Flows of solid particles are known to exhibit a clustering instability—dynamic microstructures
characterized by a dense region of highly concentrated particles surrounded by a dilute …

Particle clusters are well acknowledged to affect the hydrodynamics and overall
performance of gas-solid fluidized beds. Since one of the first reports on the clustering …

This year, 2022, we celebrate the 100-year anniversary of the commercialization of the
fluidized bed reactor. In those years, many new processes have been developed, with many …

A combined numerical and experimental study of riser hydrodynamics is reported for the fast
fluidisation regime. The experimental data sets are used for validation of the CFD-DEM …

Abstract Machine learning methods were applied to circulating fluidized bed (CFB) riser
data. The goals were to (i) provide insights on various fluidization phenomena through …

A novel method based on sound signals is proposed to realize realtime quantitative
monitoring of abrasive belt conditions in robotic grinding system. Robotic belt grinding …

Abstract The Energy Minimization Multi-Scale (EMMS) drag model, using Sauter mean
particle diameter to represent real particle size distribution, has proven to be effective in …

Highly resolved two-fluid model (TFM) simulations of gas-solid flows in vertical periodic
channels have been performed to study closures for the filtered drag force and the Reynolds …

Membrane-based filtration is an emerging technique for processing oily wastewater.
Improving the efficiency of oil-water separation via membranes entails novel techniques for …

In this work the quantitative and qualitative ability of a kinetic-theory-based two-fluid model
(KT-TFM) is assessed in a state of fully periodic sedimentation (fluidization), with a focus on …