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dc.contributor.authorWesholowski, Jens-
dc.contributor.authorBerghaus, Andreas-
dc.contributor.authorThommes, Markus-
dc.date.accessioned2019-11-21T15:27:00Z-
dc.date.available2019-11-21T15:27:00Z-
dc.date.issued2018-10-26-
dc.identifier.urihttp://hdl.handle.net/2003/38391-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-20323-
dc.description.abstractOver recent years Twin-Screw-Extrusion (TSE) has been established as a platform technology for pharmaceutical manufacturing. Compared to other continuous operation, one of the major benefits of this method is the combination of several unit operations within one apparatus. Several of these are linked to the Residence Time Distribution (RTD), which is typically expressed by the residence time density function. One relevant aspect for pharmaceutical processes is the mixing capacity, which is represented by the width of this distribution. In the frame of this study the influence of the mass flow, the temperature and the screw-barrel clearance were investigated for a constant barrel load (specific feed load, SFL). While the total mass flow as well as the external screw diameter affected the mixing performance, the barrel temperature had no influence for the investigated range. The determined results were additionally evaluated with respect to a fit to the Twin-Dispersion-Model (TDM). This model is based on the superimposition of two mixing functions. The correlations between varied process parameters and the obtained characteristic model parameters proved this general physical view on extrusion.de
dc.relation.ispartofseriesPharmaceutics : Jg.: 10, Heft: 4 | S. 207-1-207-10;-
dc.subjectmodelingde
dc.subjectprocess controlde
dc.subjectresidence timede
dc.subjecttwin-dispersion-modelde
dc.subjecttwin-screw-extrusionde
dc.subject.ddc660-
dc.titleInvestigations concerning the residence time distribution of twin-screw-extrusion processes as indicator for inherent mixingde
dc.typeTextde
dc.type.publicationtypebachelorThesisde
dc.subject.rswkDoppelschneckenextruderde
dc.subject.rswkModellierungde
dc.subject.rswkPharmazeutische Technologiede
dcterms.accessRightsopen access-
eldorado.secondarypublicationtruede
eldorado.secondarypublication.primaryidentifierhttps://doi.org/10.3390/pharmaceutics10040207de
eldorado.secondarypublication.primarycitationPharmaceutics : Jg.: 10, 2018. Heft: 4 | S. 207-1-207-10de
Appears in Collections:Lehrstuhl Feststoffverfahrenstechnik

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