2019
DOI: 10.1002/cite.201900041
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Quantifizierung der Trenneffizienz einer strukturierten Packung mittels numerischer Simulation

Abstract: Durch Kopplung einer transienten Zweiphasensimulation in einer strukturierten Packung mit einem Modell zur Simulation des Stoffübergangs wird die numerische Simulation des Rektifikations‐ und Absorptions‐/Desorptionsprozesses ermöglicht. Die Zweiphasenströmung wird hierbei mithilfe der Volume‐of‐Fluid (VoF)‐Methode abgebildet. Zur Simulation des lokal aufgelösten Stoffübergangs wird das Generalised Continuous Species Transfer (GCST)‐Modell verwendet. Die Simulationsdaten werden hinsichtlich der Trenneffizienz … Show more

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Cited by 10 publications
(8 citation statements)
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“…Two different approaches to calculate the interfacial mass transfer in a binary mixture are compared with the main focus on the impact of the temporal discretization. The first concept, termed GCST model [11], determines the mole fraction in both phases with a single-field formulation. This approach is contrasted with a two-field model similar to the work of Rieks and Kenig [13].…”
Section: Resultsmentioning
confidence: 99%
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“…Two different approaches to calculate the interfacial mass transfer in a binary mixture are compared with the main focus on the impact of the temporal discretization. The first concept, termed GCST model [11], determines the mole fraction in both phases with a single-field formulation. This approach is contrasted with a two-field model similar to the work of Rieks and Kenig [13].…”
Section: Resultsmentioning
confidence: 99%
“…The model used to calculate the interfacial mass transfer can affect the accuracy of the result as well as the stability of the calculation, thus, the choice of an appropriate approach is vital. In this article, the GCST model by Hill et al [11] is compared with a two-field model based on the work of Rieks and Kenig [13]. Therefore, for the first time, both approaches are implemented in the OpenFOAM framework and validated in the same 1D test case.…”
Section: Simon Hill Nadin Sarajlic Sebastian Rehfeldt Harald Kleinmentioning
confidence: 99%
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