Gas‐liquid Mass Transfer Enhancement in a Surface Aeration Stirred Slurry Reactors
Bibliographic record
Abstract
Abstract This paper postulates four possible mechanisms for the enhancement of gas‐liquid (G‐L) mass transfer in slurry reactors: (1) hydrodynamic effect, (2) shuttling, (3) stabilization of bubbles, and (4) reaction enhancement. Mass transfer and reactivity experiments using two different slurry systems and two different Pd‐catalysed reactions, i.e., oxidation of glucose (aqueous phase) and hydrogenation of a‐methyl styrene (organic phase), with both hydrophobic carbon and hydrophilic silica catalyst supports, were performed in a laboratory scale surface aeration reactor with a flat gas‐liquid interface. Physical and reaction enhancement have been distinguished successfully. The experimental results show that the level of catalyst support hydrophobicity has a strong influence on the rate of mass transfer.
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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".