Multiphase flow modeling

Numerical simulation methods have a very high utility in the description of relevant processes. Over the years, a wide range of numerical simulation methods have been developed for different applications, such as aerosol processes, separation processes, breakage of agglomerates, and fluidized beds. The interaction of small particles or droplets with the fluid flow is often difficult to measure. Numerical simulation of the fluid flow and the Lagrangian tracking of particle trajectories can help to understand and optimize a process. In addition, the discrete element method is essential for the accurate description of particle-particle and particle-wall interactions. For more complex particle/fluid flows, a CFD-DEM coupling is the method of choice. This allows dynamic processes, such as a silo discharge, to be accurately predicted. Our choice of software for simulation and modelling is not limited to commercial providers in our experience, open source software often offers a good alternative. A CFD-DEM software DNSLab® developed at the institute, which is specifically designed for filtration processes, completes our simulation experience.




Research Areas


Research Fields

Particles and bulk solids: Discrete Element Method, Contact mechanics, Finite Element Method

Fluid flow: Computational Fluid Dynamics

Multiphase flow: DEM and CFD coupling, Volume of Fluid Methods

Modeling of porous microstructures: Inhouse Codes, „DNSlab“

Flow scheme simulations

Design of Experiments/Optimization


Research Projects



Recent Publications

Misiulia D., Liden G., Antonyuk S.: Cyclone dimensionless pressure drop, cut size, and separation slope: One dimensionless number (Reynolds) to rule them all, Particuology (2024). https://doi.org/10.1016/j.partic.2024.10.001

Aleksieieva O., Bozoglu M., Tretiakov P., Toporov A., Antonyuk S.: Coating of refractory surfaces with fine TiO2 particles via gas-dynamic cold spraying, Coatings (2024); 14(9):1151 https://doi.org/10.3390/coatings14091151