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 …

Starting from a kinetic theory (KT) model for monodisperse granular flow, the exact Reynolds-
averaged (RA) equations are derived for the particle phase in a collisional fluid–particle …

Gas-phase velocity fluctuations due to mean slip velocity between the gas and solid phases
are quantified using particle-resolved direct numerical simulation. These fluctuations are …

We present a computational study of cluster-induced turbulence (CIT), where the production
of fluid-phase kinetic energy results entirely from momentum coupling with finite-size inertial …

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 …

Statistical properties of particles in heterogeneous gas–solid flow were numerically
investigated based on the results of a three‐dimensional large‐scale direct numerical …

The lattice Boltzmann method (LBM) for simulating fluid phases was coupled with the
discrete element method (DEM) for studying solid phases to formulate a novel solver for fast …

Clustering is often presumed to lead to enhanced agglomeration between cohesive grains
due to the reduced relative velocities of particles within a cluster. Our discrete-particle …

Recently, attention has been drawn to the CGDEM (coarse-grained discrete element
method) as a valuable option to circumvent the cost of classic DEM (discrete element …

In present study, a model of the criterion for cluster heterogeneous flow is presented in terms
of the rates of hydrodynamic and collisional energy dissipations of the occurrence of particle …