Abstract
In most industrial solid processing operations, the classification of particles is important and designed based on the terminal settling velocity as the main control parameter. This settling velocity is dependent on characteristic particle properties like size, density, and shape. Turbulent particle diffusion is the other key property controlling the efficiency of the separation. In this project, multi-stage separation experiments of a variety of materials have been performed using different flow velocities, mass loadings of the air, number of stages. Separation has been investigated separately concerning particle size, particle density, and particle shape. Continuous operation in terms of solid material and airflow has been mostly considered. However, variations in mass loading and pulsating operation of the fan have been investigated as well. The performance has been analyzed and discussed with respect to the separation functions, for instance regarding separation sharpness. Several modelling approaches have been checked and/or developed to describe theoretically the corresponding observations. After fitting the free model parameters, a very good agreement has been obtained compared to experimental measurements. Finally, the reduced model has been implemented into the central software DYSSOL.
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Acknowledgements
This work was part of the German priority program SPP 1679 entitled ‘‘Dynamische Simulation vernetzter Feststoffprozesse” (‘‘Dynamic simulation of interconnected solids processes”) that was financially supported by the Deutsche Forschungsgemeinschaft (DFG), Germany.
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Lukas, E. et al. (2020). Experimental Study and Modelling of Particle Behaviour in a Multi-stage Zigzag Air Classifier. In: Heinrich, S. (eds) Dynamic Flowsheet Simulation of Solids Processes. Springer, Cham. https://doi.org/10.1007/978-3-030-45168-4_11
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