Large scale preparation of microbubbles by multi‐channel ceramic membranes: Hydrodynamics and mass transfer characteristics
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
Abstract Microbubbles have potential applications in chemical engineering, water treatment, and medicine. By designing multi‐channel ceramic membrane distributors, large scale preparation of microbubbles is achieved in a co‐current bubble column. Oxygen and water are used as interacting gas‐liquid phases. Gas holdup, bubble size distribution, and mass transfer rate are influenced by the membrane pore size, superficial gas velocity, and cross flow velocity. The empirical correlations for gas holdup and volumetric mass transfer coefficient are formulated and good agreement with experimental data is obtained. The multi‐channel ceramic membranes can successfully produce a lot of microbubbles, resulting in larger values of gas holdup, volumetric mass transfer coefficient, and equilibrium dissolved oxygen concentrations as compared to the conventional gas sparger. These findings will aid the development of gas‐liquid reactors with high performances.
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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 it