A new experimental–theoretical framework has been developed to investigate turbulence
and turbulence modulation in a two-phase multicomponent particle–liquid flow in a …

Flow turbulence properties are of utmost importance for the optimization of mixing in stirred
vessels. A new experimental-theoretical framework is developed to study such turbulence …

Abstract A 3D Eulerian-Lagrangian CFD model is set up to simulate the turbulent flow and
mixing of coarse dense particles in a standard batch vessel, mechanically agitated by a …

Experimental data obtained via a Lagrangian positron emission particle tracking technique
have been used to drive a new methodology for the evaluation of mixing in mechanically …

Machine learning (ML) is used to build a new computationally efficient data-driven
dynamical model for single-phase and complex multicomponent particle–liquid turbulent …

A novel computationally efficient machine learning (ML) framework has been developed for
constructing the turbulent flow field of single-phase or two-phase particle-liquid flows in a …

In multiphase particulate systems, the turbulence of the continuous phase (gas or liquid) is
modulated due to interactions between the continuous phase and the suspended particles …

Positron emission particle tracking (PEPT) is a new technique allowing the quantitative study
of flow phenomena in three dimensions in opaque systems that cannot be studied by …

Experiments indicate that particle clusters that form in fluidized–bed risers can enhance gas-
phase velocity fluctuations. Direct numerical simulations (DNS) of turbulent flow past uniform …

A model is introduced for the carrier phase turbulence in a fluid–particle flow based on the
volume-averaged equations for the kinetic energy of the carrier phase. The model shows the …