Dynamics of Fluid Particles in Turbulent Flows; CFD simulations, Model Development and Phenomenological Studies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
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. \nThe 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. \nDetailed 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. \nA 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. \n\n\n\n
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it