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.

Contact: Ass. Prof. Dr. Dzmitry Misiulia

• 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

• Grohn, P., Oesau, T., Heinrich, S., Antonyuk, S.: Investigation of the influence of wetting on the particle dynamics in a fluidized bed rotor granulator by MPT measurements and CFD-DEM simulations, Powder Technology 408 (2022) 117736 https://doi.org/10.1016/j.powtec.2022.117736

• Misiulia, D., Lidén, G., Antonyuk, S.: Performance characteristics of a small scale cyclone separator operated in different flow regimes, Journal of Aerosol Science, 163 (2022) 105980  https://doi.org/10.1016/j.jaerosci.2022.105980

• Elsayed. O., Kirsch, R., Osterroth, S., Antonyuk, S.: An improved scheme for the interface reconstruction and curvature approximation for flow simulations of two immiscible fluids, International Journal of Multiphase Flow 103805 (2021) https://doi.org/10.1016/j.ijmultiphaseflow.2021.103805

• Elsayed, O., Kirsch, R., Krull, F., Antonyuk, S., and Osterroth, S.: Pore-scale simulation of the interaction between a single water droplet and a hydrophobic wire mesh screen in diesel, Fluids 6 (9), (2021), 319, https://doi.org/10.3390/fluids6090319.

• Urazmetov, O., Kerner, M., Dillenburger, T., Misiulia, D., Antonyuk S.: A CFD study of gas and particle motion in an aerosol generator operated by desublimation process, Chemical Engineering Research and Design 169 (2021) 229-238, https://doi.org/10.1016/j.cherd.2021.03.022

• Lösch, P., Nikolaus, K., Antonyuk, S.: Fractionating of finest particles using cross-flow separation with superimposed electric field, Separation and Purification Technology 257 (2021) 117820 https://doi.org/10.1016/j.seppur.2020.117820

• Puderbach, V.; Schmidt, K.; Antonyuk, S.: A Coupled CFD-DEM Model for Resolved Simulation of Filter Cake Formation during Solid-Liquid Separation. In: Processes 9 (5), 2021. https://doi.org/10.3390/pr9050826
• 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 https://doi.org10.1016/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, https://doi.org/10.1016/j.partic.2018.03.015

• Weis,D.,Krull, F., Mathy, J., Evers, M.,Thommes, M., Antonyuk, S.: A contact model for the deformation behaviour of pharmaceutical pellets under cyclic loading, Advanced Powder Technology30 (2019) S.2492-2502 https://doi.org/10.1016/j.apt.2019.07.026

• 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

• ANSYS CFX, ANSYS Fluent

• OpenFOAM

• LIGGGHTS / CFDEMcoupling

• EDEM solutions

• DNSLab