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Effects of flow baffles on flow profile, pressure drop and classification performance in classifiers

Betz, Michael 1; Gleiss, Marco 1; Nirschl, Hermann 1
1 Institut für Mechanische Verfahrenstechnik und Mechanik (MVM), Karlsruher Institut für Technologie (KIT)


This paper presents a study of the use of flow baffles inside a centrifugal air classifier. An air classifier belongs to the most widely used classification devices in mills in the mineral industry, which is why there is a great interest in optimizing the process flow and pressure loss. Using Computational Fluid Dynamics (CFD), the flow profile in a classifier without and with flow baffles is systematically compared. In the simulations, turbulence effects are modeled with the realizable k–ε model, and the Multiple Reference Frame approach (MRF) is used to represent the rotation of the classifier wheel. The discrete phase model is used to predict the collection efficiency. The effects on the pressure loss and the classification efficiency of the classifier are considered for two operating conditions. In addition, a comparison with experimental data is performed. Firstly, the simulations and experiments show good agreement. Furthermore, the investigations show that the use of flow baffles is suitable for optimizing the flow behavior in the classifier, especially in reducing the pressure loss and therefore energy costs. Moreover, the flow baffles have an impact on the classification performance. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000136949
Veröffentlicht am 06.09.2021
DOI: 10.3390/pr9071213
Zitationen: 5
Web of Science
Zitationen: 5
Zitationen: 5
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Mechanische Verfahrenstechnik und Mechanik (MVM)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2227-9717
KITopen-ID: 1000136949
Erschienen in Processes
Verlag MDPI
Band 9
Heft 7
Seiten Art. Nr.: 1213
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 15.07.2021
Schlagwörter air classifier; CFD; optimization; classification performance
Nachgewiesen in Dimensions
Web of Science
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