Abstract
Multi-phase flows are a major task in chemical engineering and involve a spectrum of phenomena which are influenced by phase behavior and droplet interactions. Data concerning multi-phase flows are experimental laborious and mathematical models often need expensive parametrization. The main goal of this work is the modeling of interfacial properties due to droplet interactions in liquid-liquid systems.
In order to model the coalescence of droplets the incompressible density gradient theory1 developed by Cahn and Hilliard (CH) is combined with the incompressible Navier-Stokes equations in a novel introduced CHNS model. Furthermore, the thermodynamic Non-Random Two-Liquid model2 is incorporated into the CHNS framework. This approach allows to model interfacial properties of liquid-liquid systems and predict coalescence behavior in a thermodynamic consistent fashion. The major advantages of this model approach are the elimination of mathematical models with expensive parametrization based on multi-phase experiments and the only use of standard thermodynamic data. The CHNS framework consists of a system of highly non-linear partial differential equations which are implemented into OpenFoam® and calculated via the Finite Volume Method.
This contribution discusses the applicability of the developed CHNS framework to binary liquid-liquid systems in order to describe droplet formation. Furthermore, the behavior of phase separation and its effect on convective and diffusive mass transport is investigated in detail.
In order to model the coalescence of droplets the incompressible density gradient theory1 developed by Cahn and Hilliard (CH) is combined with the incompressible Navier-Stokes equations in a novel introduced CHNS model. Furthermore, the thermodynamic Non-Random Two-Liquid model2 is incorporated into the CHNS framework. This approach allows to model interfacial properties of liquid-liquid systems and predict coalescence behavior in a thermodynamic consistent fashion. The major advantages of this model approach are the elimination of mathematical models with expensive parametrization based on multi-phase experiments and the only use of standard thermodynamic data. The CHNS framework consists of a system of highly non-linear partial differential equations which are implemented into OpenFoam® and calculated via the Finite Volume Method.
This contribution discusses the applicability of the developed CHNS framework to binary liquid-liquid systems in order to describe droplet formation. Furthermore, the behavior of phase separation and its effect on convective and diffusive mass transport is investigated in detail.
Originalsprache | englisch |
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Publikationsstatus | Veröffentlicht - 2022 |
Veranstaltung | AIChE Annual Meeting 2022 - Phoenix Convention Center, Phoenix, USA / Vereinigte Staaten Dauer: 13 Nov. 2022 → 18 Nov. 2022 |
Konferenz
Konferenz | AIChE Annual Meeting 2022 |
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Land/Gebiet | USA / Vereinigte Staaten |
Ort | Phoenix |
Zeitraum | 13/11/22 → 18/11/22 |