For the separation of particles with different sizes, dry classification processes are of great importance for the production of narrow fractions in the solid processing technology. To be able to more accurately predict the separation behavior of flow and sieve classifying processes, experimental results were compared with DEM simulations. In screening the influence of the particle shape on the separation process was considered while the particle behavior between the paddles of a deflector wheel classifier was simulated with DEM. The combination of DEM simulation and experiment makes it possible to improve model predictions by identifying process-specific parameters and to develop classification models, which are applicable in dynamic flowsheet simulations of solids processes.