Dynamics of Fluid Particles in Turbulent Flows; CFD simulations, Model Development and Phenomenological Studies
The thesis investigates the dynamics of fluid particles in turbulent flows, which plays an important role in the chemical, pharmaceutical, food and petroleum industries. Phenomenological studies, new mathematical models for the breakup phenomena, and development of a simulation method for chemical reactors constitute the main parts of this thesis.
The simulation method, based on CFD population balance modeling, was successfully used in the development process of a new reactor designed by Alfa Laval. Validation with experimental measurements, for a wide range of hydrodynamic conditions and fluid properties relevant to technical applications, showed that predictions with high accuracy can be obtained.
Detailed studies on the breakup mechanisms of fluid particles were made with a high-speed imaging technique devised for this work. It was shown that although the initial stage of the breakup process is similar for bubbles and drops, the outcomes differ significantly. An internal flow mechanism was identified as responsible for the difference in the resulting daughter size distributions. While bubbles generate unequal-sized fragments, drops often form equal-sized fragments. The number of fragments formed by breakup is also different for bubbles and drops.
A new model for the breakup rate of fluid particles was developed in this work. In the model two criteria must be fulfilled for breakup to occur. A new model for the interaction frequency between fluid particles and turbulent eddies was also developed. Validation with experimental measurements of the breakup rate showed that the new model gives excellent predictions. Furthermore, the model reveals that eddies close in size to, and up to three times larger than, the fluid particles contribute to the breakup. This prediction agrees with the studies of the breakup mechanisms, which show that fluid particles often deform significantly before breakup occurs.
Particle Image Velocimetry
Computational Fluid Dynamics
Planar laser induced fluorescence
Population Balance Modelling
High speed imaging technique
Refractive index matching
10.00 KB-salen, Kemigården 4, Chalmers
Opponent: Prof. Dr. Martin Sommerfeld, Institut für Verfahrenstechnik, Fachbereich Ingenieurwissenschaften, Martin-Luther-Universität Halle-Wittenberg, Germany