Ulm, Univ. Diss., 2006.

Stuttgart, Univ., Diss., 2006.

Techn. Universiẗat, Diss., 2004--Darmstadt.

A generalized model for bubble coalescence and breakup has been developed, which is based on a comprehensive survey of existing theories and models. One important feature of the model is that all important mechanisms leading to bubble coalescence and breakup in a turbulent gas-liquid flow are considered. The new model is tested extensively in a 1D Test Solver and a 3D CFD code ANSYS CFX for the case of vertical gas-liquid pipe flow under adiabatic conditions, respectively. Two kinds of extensions of the standard multi-fluid model, i.e. the discrete population model and the inhomogeneous MUSIG (multiple-size group) model, are available in the two solvers, respectively. These extensions with suitable closure models such as those for coalescence and breakup are able to predict the evolution of bubble size distribution in dispersed flows and to overcome the mono-dispersed flow limitation of the standard multi-fluid model. For the validation of the model the high quality database of the TOPFLOW L12 experiments for air-water flow in a vertical pipe was employed. A wide range of test points, which cover the bubbly flow, turbulent-churn flow as well as the transition regime, is involved in the simulations. The comparison between the simulated results such as bubble size distribution, gas velocity and volume fraction and the measured ones indicates a generally good agreement for all selected test points. As the superficial gas velocity increases, bubble size distribution evolves via coalescence dominant regimes first, then breakup-dominant regimes and finally turns into a bimodal distribution. The tendency of the evolution is well reproduced by the model. However, the tendency is almost always overestimated, i.e. too much coalescence in the coalescence dominant case while too much breakup in breakup dominant ones. The reason of this problem is discussed by studying the contribution of each coalescence and breakup mechanism at different test points. The redistribution of the gaseous phase from the injection position at the pipe wall to the whole cross section is overpredicted by the Test Solver especially for the test points with high superficial gas velocity. Besides the models for bubble forces, the simplification of the Test Solver to a 1D model has an influence on the redistribution process. Simulations performed using CFX show that a considerable improvement is achieved with comparison to the results delivered by the standard closure models. For the breakup-dominant cases, the breakup rate is again overestimated and the contribution of wake entrainment of large bubbles is underestimated. Furthermore, inlet conditions for the liquid phase, bubble forces as well as turbulence modeling are shown to have a noticeable influence, especially on the redistribution of the gaseous phase.

A generalized model for bubble coalescence and breakup has been developed, which is based on a comprehensive survey of existing theories and models. One important feature of the model is that all important mechanisms leading to bubble coalescence and breakup in a turbulent gas-liquid flow are considered. The new model is tested extensively in a 1D Test Solver and a 3D CFD code ANSYS CFX for the case of vertical gas-liquid pipe flow under adiabatic conditions, respectively. Two kinds of extensions of the standard multi-fluid model, i.e. the discrete population model and the inhomogeneous MUSIG (multiple-size group) model, are available in the two solvers, respectively. These extensions with suitable closure models such as those for coalescence and breakup are able to predict the evolution of bubble size distribution in dispersed flows and to overcome the mono-dispersed flow limitation of the standard multi-fluid model. For the validation of the model the high quality database of the TOPFLOW L12 experiments for air-water flow in a vertical pipe was employed. A wide range of test points, which cover the bubbly flow, turbulent-churn flow as well as the transition regime, is involved in the simulations. The comparison between the simulated results such as bubble size distribution, gas velocity and volume fraction and the measured ones indicates a generally good agreement for all selected test points. As the superficial gas velocity increases, bubble size distribution evolves via coalescence dominant regimes first, then breakup-dominant regimes and finally turns into a bimodal distribution. The tendency of the evolution is well reproduced by the model. However, the tendency is almost always overestimated, i.e. too much coalescence in the coalescence dominant case while too much breakup in breakup dominant ones. The reason of this problem is discussed by studying the contribution of each coalescence and breakup mechanism at different test points. The redistribution of the gaseous phase from the injection position at the pipe wall to the whole cross section is overpredicted by the Test Solver especially for the test points with high superficial gas velocity. Besides the models for bubble forces, the simplification of the Test Solver to a 1D model has an influence on the redistribution process. Simulations performed using CFX show that a considerable improvement is achieved with comparison to the results delivered by the standard closure models. For the breakup-dominant cases, the breakup rate is again overestimated and the contribution of wake entrainment of large bubbles is underestimated. Furthermore, inlet conditions for the liquid phase, bubble forces as well as turbulence modeling are shown to have a noticeable influence, especially on the redistribution of the gaseous phase.

No description available.

This thesis presents a numerical method for the phase-resolving simulation of rigid particles and deformable bubbles in viscous, magnetohydrodynamic flows. The presented approach features solid robustness and high numerical efficiency. The implementation is three-dimensional and fully parallel suiting the needs of modern high-performance computing. In addition to the steps towards magnetohydrodynamics, the thesis covers method development with respect to the immersed boundary method which can be summarized in simple words by From rigid spherical particles to deformable bubbles. The development comprises the extension of an existing immersed boundary method to non-spherical particles and very low particle-to-fluid density ratios. A detailed study is dedicated to the complex interaction of particle shape, wake and particle dynamics. Furthermore, the representation of deformable bubble shapes, i.e. the coupling of the bubble shape to the fluid loads, is accounted for. The topic of bubble interaction is surveyed including bubble collision and coalescence and a new coalescence model is introduced. The thesis contains applications of the method to simulations of the rise of a single bubble and a bubble chain in liquid metal with and without magnetic field highlighting the major effects of the field on the bubble dynamics and the flow field. The effect of bubble coalescence is quantified for two closely adjacent bubble chains. A framework for large-scale simulations with many bubbles is provided to study complex multiphase phenomena like bubble-turbulence interaction in an efficient manner.

This thesis presents a numerical method for the phase-resolving simulation of rigid particles and deformable bubbles in viscous, magnetohydrodynamic flows. The presented approach features solid robustness and high numerical efficiency. The implementation is three-dimensional and fully parallel suiting the needs of modern high-performance computing. In addition to the steps towards magnetohydrodynamics, the thesis covers method development with respect to the immersed boundary method which can be summarized in simple words by From rigid spherical particles to deformable bubbles. The development comprises the extension of an existing immersed boundary method to non-spherical particles and very low particle-to-fluid density ratios. A detailed study is dedicated to the complex interaction of particle shape, wake and particle dynamics. Furthermore, the representation of deformable bubble shapes, i.e. the coupling of the bubble shape to the fluid loads, is accounted for. The topic of bubble interaction is surveyed including bubble collision and coalescence and a new coalescence model is introduced. The thesis contains applications of the method to simulations of the rise of a single bubble and a bubble chain in liquid metal with and without magnetic field highlighting the major effects of the field on the bubble dynamics and the flow field. The effect of bubble coalescence is quantified for two closely adjacent bubble chains. A framework for large-scale simulations with many bubbles is provided to study complex multiphase phenomena like bubble-turbulence interaction in an efficient manner.

Diese Dissertation wendet eine unendlichdimensionalen Markov'schen Hebemethode auf nicht-Markov'sche Dynamiken an und schlägt das Modell der kontinuierlichen Saatbank sowie ein unendlichdimensionales Preisbeeinflussungsmodell vor. Wir verallgemeinern das Saatbankmodell aus [BGCKWB16], um allgemeinere Dormanzzeitverteilungen zu berücksichtigen. Inspiriert von [GdHO22] führen wir die Wright-Fisher-Diffusion und Koaleszenz mit einer Kontinuität von Saatbänken ein. Durch die Formulierung einer unendlichen dimensionale stochastischen Differentialgleichung beweisen wir die Existenz einer eindeutigen starken Lösung: der kontinuierlichen Saatbank-Diffusion. Anschließend zeigen wir, dass dieser Diffusionsprozess das Skalierungs-Limit der Allelfrequenzprozesse in einer Reihe von diskreten Wright-Fisher-Modellen darstellt. Darüber hinaus stellen wir eine Dualitätsbeziehung zwischen der kontinuierlichen Saatbank-Diffusion und der kontinuierlichen Saatbank-Koaleszenz her und diskutieren einige grundlegende Eigenschaften dieses Koaleszenzprozesses. Im finanziellen Bereich entwickeln wir, ähnlich wie im kontinuierlichen Saatbankmodell, einen unendlichen transienten Preisbeeinflussungsprozess. Dieser Prozess ist ein Markov'sche Hebung eines nicht-Markov'schen 1-dimensionalen Preisbeeinflussungsprozesses. In einem additiven Preisbeeinflussungsszenario vereinfachen wir, entsprechend den Methoden in [AKU22] und [BB24], das Problem der optimalen Liquidation zu einem linearen-quadratischen Optimalsteuerproblem. Strafterm werden in das erwartete Kostenfunktional eingeführt, um die eindeutige Lösbarkeit sicherzustellen. Schließlich stellen wir in Szenarien wie multiplikativen Preisbeeinflussungen die Skorokhod M1-Kontinuität der Kosten im unendlichen Dimensionen-Setting sicher. / This thesis applies an infinite-dimensional Markovian lifting method to non-Markovian dynamics, proposing the continuum seed-bank model and an infinite-dimensional price impact model. We generalize the seed-bank model from [BGCKWB16] to accommodate more general dormancy time distributions. Inspired by [GdHO22], we introduce the Wright-Fisher diffusion and coalescent with a continuum of seed-banks. By formulating an infinite-dimensional stochastic differential equation, we prove the existence of a unique strong solution: the continuum seed-bank diffusion. We then show that this diffusion process is the scaling limit of allele frequency processes in a sequence of discrete-time Wright-Fisher type models. Furthermore, we establish a duality relation between the continuum seed-bank diffusion and the continuum seed-bank coalescent, and discuss some basic properties of this coalescent process. In the financial domain, akin to the continuum seed-bank model, we develop an infinite-dimensional transient price impact process. This process is a Markovian lift of a non-Markovian 1-dimensional price impact process. In an additive price impact scenario, following the methods in [AKU22] and [BB24], we simplify the optimal liquidation problem to a linear-quadratic optimal control problem. Penalty terms are introduced into the expected cost functional to ensure unique solvability. Finally, in scenarios such as multiplicative price impacts, we establish the Skorokhod M1 continuity of the cost in the infinite-dimensional setting.