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About Modeling and Optimization of Solid Bowl Centrifuges

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

Abstract:

Many processes involve solid bowl centrifuges as a solid–liquid separation step, typically used for clarification, thickening, classification, degritting, mechanical dewatering, and screening. In order to operate solid bowl centrifuges safely, with minimum resource consumption and reduced setup times, modeling and optimization are necessary steps. This is a challenge due to the complex process behavior, which can be overcome by developing advanced physical models and process analysis. This review provides an overview of solid bowl centrifuge applications, their modeling, and addresses future optimization potentials through digital tools. The impact of dispersed phase properties such as particle size, shape, surface roughness, structure, composition, and continuous liquid phase is the reason for the lack of generally applicable models. Laboratory-scale batch sedimentation centrifuges are used to predict material behavior and develop material functions describing separation-related properties such as sedimentation, sediment build-up and sediment transport. The combination of material functions and modeling allows accurate simulation of solid bowl centrifuges from laboratory to industrial scale. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000169073
Veröffentlicht am 15.03.2024
Originalveröffentlichung
DOI: 10.14356/kona.2024010
Scopus
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Mechanische Verfahrenstechnik und Mechanik (MVM)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 10.01.2024
Sprache Englisch
Identifikator ISSN: 0288-4534, 2187-5537
KITopen-ID: 1000169073
Erschienen in KONA Powder and Particle Journal
Verlag Hosokawa Powder Technology Foundation
Band 41
Seiten 58 – 77
Vorab online veröffentlicht am 30.06.2023
Nachgewiesen in Dimensions
Web of Science
Scopus
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