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Spray drying of highly viscous feeds: Modeling the internal flow of an ACLR atomizer for non-Newtonian liquid feeds with high dry-matter contents

Ballesteros Martínez, Miguel Ángel ORCID iD icon 1; Gaukel, Volker ORCID iD icon 1
1 Institut für Bio- und Lebensmitteltechnik (BLT), Karlsruher Institut für Technologie (KIT)

Abstract:

Spray drying is a widely used method for producing food powders in large quantities, but it also has a high energy demand. To address this, researchers aim to increase the dry-matter content of liquid feeds, which poses the challenge of having to atomize high-viscosity liquids into fine droplets. The Air-Core-Liquid-Ring (ACLR) nozzle offers a solution by inducing an internal annular flow, though it can present internal instabilities. This study numerically investigates how high feed viscosities, of up to 1.3 Pa · s, influence the internal flow conditions. We confirmed that, even at this viscosity range, the internal instabilities can be strongly reduced while maintaining air-to-liquid ratios below 1 and pressures below 1 MPa. This is much lower than pressures of pressure-swirl nozzles and ALRs of external-mixing nozzles, which are both more commonly used in the industry. A CFD model was successfully adapted to predict the internal flow behavior and it can be used to evaluate process conditions outside experimental capabilities.


Verlagsausgabe §
DOI: 10.5445/IR/1000184679
Veröffentlicht am 08.09.2025
Originalveröffentlichung
DOI: 10.1080/07373937.2025.2534037
Scopus
Zitationen: 1
Web of Science
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Bio- und Lebensmitteltechnik (BLT)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 10.09.2025
Sprache Englisch
Identifikator ISSN: 0737-3937, 1532-2300
KITopen-ID: 1000184679
Erschienen in Drying Technology
Verlag Taylor and Francis
Band 43
Heft 11-12
Seiten 1824–1832
Vorab online veröffentlicht am 17.07.2025
Schlagwörter spray drying, high viscosityACLR, CFD, non-Newtonian modeling
Nachgewiesen in Web of Science
OpenAlex
Dimensions
Scopus
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