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Postprint
DOI: 10.5445/IR/1000081175
Veröffentlicht am 10.02.2019
Originalveröffentlichung
DOI: 10.1007/s10035-018-0792-3
Scopus
Zitationen: 3
Web of Science
Zitationen: 3

DEM simulations : mixing of dry and wet granular material with different contact angles

Schmelzle, Steffen; Nirschl, Herrmann

Abstract:
In solid mixing the raw materials typically differ at least in one material property, such as particle size, solid density and wetting properties, which in turn influence particle mobility. For example, smaller particles can percolate through the voids of larger ones under the influence of strain and gravity. This may produce fine particle accumulation at the bottom of the mixing vessel which results in undesired, inhomogeneous final products. When wet particles with different wetting properties need to be mixed, heteroagglomeration may occur as another segregation mechanism. We present a new capillary bridge force model to study segregation in moist cohesive mixing processes using DEM. New analytical equations of best fit are derived by solving the Young–Laplace equation and performing a regression analysis, in order to investigate discontinuous mixing processes of dry and moist materials with different particle sizes and different contact angles. Compared to a dry mixing process, mixing efficiency is improved by the addition of a small amount of liquid. While percolating segregation is reduced, heteroagglomerates occur in the wet ... mehr


Zugehörige Institution(en) am KIT Institut für Mechanische Verfahrenstechnik und Mechanik (MVM)
Publikationstyp Zeitschriftenaufsatz
Jahr 2018
Sprache Englisch
Identifikator ISSN: 1434-5021, 1434-7636
URN: urn:nbn:de:swb:90-811752
KITopen-ID: 1000081175
Erschienen in Granular matter
Band 20
Heft 2
Seiten Art.Nr. 19
Vorab online veröffentlicht am 09.02.2018
Schlagworte Solids mixing, DEM simulation, Liquid bridge model, Segregation, Young–Laplace
Nachgewiesen in Web of Science
Scopus
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