Hydrodynamic collisions involving bubbles and mineral particles
Bibliographic record
Abstract
Abstract The movement of bubbles inside a liquid and their interaction with other bubbles, solid particles, or surfaces has been a topic of intense research due to its importance to understand natural phenomena and improve industrial applications such as mineral flotation. For a long time, the mobility at the air–water interface was suggested to affect the flotation recovery, and this understanding was further advanced in the past few years with the development of experimental techniques. In this study, we review the recent experimental and theoretical understanding of the boundary conditions at the air–liquid interface, and how the surface mobility affects the rising speed of a single bubble and the coalescence of bubbles. Consequently, the flotation efficiency can be affected by the surface mobility by altering the probability of collision, attachment, and detachment between the bubble and valuable mineral particles. Recent works also show that the surface mobility is affected by the solution chemistry, the aging of the air–water interface, and the hydrodynamic flow. Therefore, it can be speculated that future techniques for mineral flotation can be developed by the controlled manipulation of surface mobility at the bubble surface. A freshly formed bubble has a mobile interface, but the presence of impurities or added surfactants at different concentrations can accelerate the immobilization of the air bubbles.
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.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".