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Simulation of particle-charged flows |
Figure: CFD-DEM simulation [1]
Many natural phenomena can be seen as a particle-charged flow and can be found in many processes in applications of the pharmaceutical and chemical industry. In these industrial processes, granular flows have a decisive influence on the properties of the product and the quality. An example herefore is the process of continuous powder mixing of active pharmaceutical ingredients (APIs) and excipients. The flow properties of the granular components determine the homogeneity of a tablet. Only an accurate understanding of the influence of parameters (such as: particle size, shape and surface structure on the flow field of the granular gas flows) allows precise design and optimization of the manufacturing processes.
Solution:
The combination of a CFD - model (Computational Fluid Dynamics) and a DEM - model (Discrete Element Model) is a promising and powerful approach to investigate the complexity of fluidized bed systems. In the DEM-model the different interactions (forces) between the individual particles on the basis of a particle-particle pair are treated. The treatment of this variety of forces, which occur (increases with the number of particles) makes the method very time intensive.
The additional coupling with the CFD calculation of the fluid flow limits the number of particles of the currently used simulation codes to a maximum of 10^5.
In order to simulate larger and thus more realistic systems, it is now possible with the available CUDA (Compute Unified Device Architecture) technology to increase the number of particles to a maximum of several million. The CUDA architecture enables high parallelization of DEM-simulation and this leads to a drastic reduction of the computation time.
Due to a very close cooperation with the Research Center Pharmaceutical Engineering GmbH and a manufacturer of a CFD-software, SES-Tec OG offers you the experience and the know-how in the simulation of particle-charged flows.
Related publication:
[1] Jajcevic D., Siegmann E., Radeke C., Khinast J., "Large-scale CFD–DEM simulations of fluidized granular systems", Chemical Engineering Science 98 (2013) 298–310 |
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