The coupling of computational fluid dynamics (CFD) and discrete element method (DEM)
has become an important method for studying dense fluidized beds. Since DEM can track …

Dense gas-solid reacting flow is practised in many industrial processes where the particle
number may be huge and cannot be modelled using the conventional CFD-DEM approach …

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 …

This study presents conventional and artificial neural network‐based data‐driven modeling
(DDM) methods to model simultaneously the filtered mesoscale drag, heat transfer and …

Large eddy simulation is used to study the gas-particle two-phase transverse jet in
supersonic flow. In this paper, the Eulerian method is used to simulate the fluid, and the …

Accurately predicting the complex inhomogeneous heat transfer behavior in gas–solid
fluidized beds is of fundamental importance. In this work, we constitute an enhanced filtered …

Particle-resolved direct numerical simulation (PR-DNS) of flow past a particle cluster is
conducted to analyze the influence of heterogeneous particle distribution on the gas–solid …

This work extends filtered models to investigate the influence of particle polydispersity on the
filtered fluid-particle drag and heat transfer behaviors based on well-resolved computational …

The fluidisation of spherocylindrical particles is often involved in the fields of biomass
combustion, drug delivery and food drying. By spherocylindrical particles, we mean …

Abstract The Spatially-Averaged Two-Fluid Model (SA-TFM) is a functional multiphase
turbulence model aimed at predicting the influence of unresolved meso-scale structures on …