Gas-solid fluidized beds have drawn the attention of engineers and researchers as an
effective technology for a large variety of applications, and numerical simulations can play …

The coupling between fluid and granular materials is commonly encountered in nature and
engineering practice. Moreover, the shape of granular materials in practical applications is …

Artificial intelligence (AI), machine learning (ML), and data science are leading to a
promising transformative paradigm. ML, especially deep learning and physics-informed ML …

In the century-long development of fluidization technology, simulation methods have
evolved in response to scientific and engineering demands, which in turn have produced …

Unresolved and semi-resolved CFD-DEM coupling are frequently used for modeling
particulate flows due to their high efficiency and satisfying accuracy. The grid size (in …

Drag force acting on a particle is vital for the accurate simulation of turbulent multiphase
flows, but the robust drag model is still an open issue. Fully resolved direct numerical …

Understanding the hydrodynamic behavior of irregular-shaped particles is vital for
optimizing fluidized bed systems. In this study, the effect of binary and ternary biomass …

Empirical correlations for bubble diameter and velocity are incapable of predicting the local
bubble behaviors fairly because the impact of local hydrodynamics on bubbles in fluidized …

A new sub-grid drag model is proposed for fluidized gas-particle flows which stands among
those derived from filtering over results of meso-scale highly resolved simulations with …

Amid the escalating global demand for raw materials, the gradual exhaustion of terrestrial
mineral resources, and the rise in extraction costs and energy consumption, the …