Lehrstuhl für Mechanische Verfahrenstechnik (MVT)

Simulation and Modeling

Almost all processes in particle process engineering take place on small length scales. In addition, several physical forces usually act simultaneously. Thus, making the analytical description cumbersome and in some cases even impossible. For these reasons, numerical simulation methods have a very high utility in the description of relevant processes.
Over the years, a wide range of numerical simulation methods were developed for different applications such as aerosol processes, separation processes, breakage of agglomerates, fluidized beds etc. 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 parti-cle/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 modeling 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



Recent Publications

  • Misiulia, D., Antonyuk, S., Andersson, A.G., Lundström, T.S.: High-efficiency industrial cyclone separator: a CFD study, Powder Technology (2019)
  • Misiulia, D., Antonyuk, S., Andersson, A.G., Lundström, T.S. (2018): Effects of deswirler position and its centre body shape as well as vortex finder extension downstream on cyclone performance. In: Powder Technol., Vol. 336, p. 45–56.
  • Misiulia, D., Elsayed, K., Andersson, A.G. (2017): Geometry optimization of a deswirler for cyclone separator in terms of pressure drop using CFD and artificial neural network. In: Sep. Purif. Technol., Vol. 185, p. 10–23.
  • Misiulia, D., Andersson, A.G., Lundström, T.S. (2017): Large Eddy Simulation investigation of an industrial cyclone separator fitted with a pressure recovery deswirler. In: Chem. Eng. Technol., Vol. 40 (4), p. 709–718.
  • Hund, D.; Schmidt, K.; Ripperger, S.; Antonyuk, S.: Direct numerical simulation of cake formation during filtration with woven fabrics. Chemical Engineering Research and Design 139 (2018) S. 26-33 DOI: 10.1016/j.cherd.2018.09.023
  • Paul Breuninger, Dominik Weis, Isabell Behrendt, Philipp Grohn, Fabian Krull, Sergiy Antonyuk (2018): “CFD-DEM simulation of fine particles in a spouted bed apparatus with a Wurster tube”, Particuology 2018, doi.org/10.1016/j.partic.2018.03.015
  • Weis,D.,Niesing,  M.,Thommes, M., Antonyuk,  S.:  DEM simulations  of  the  mixing  behavior  in  a spheronization process, Chemical Engineering Science 192(2018),803-815, doi.org/10.1016/j.ces.2018.07.057

Simulation and Numerical Tools

  • OpenFOAM
  • LIGGGHTS / CFDEMcoupling
  • EDEM solutions
  • DNSLab
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