A Combined Mass Transfer Coefficient Model for Liquid-Liquid Systems under Simultaneous Effect of Contamination and Agitation
Bibliographic record
Abstract
The simultaneous effect of contamination and agitation was investigated using a pilot rotating disc contactor and mass transfer in both directions with single drops in the absence of drop break-up and coalescence. It is ideally required to account for the extent of contamination in a quantitative manner and in both phases with a single parameter. In this work, a combined mass transfer model is applied and an improvement is made using an empirical coefficient and having mathematical consistency. Based on 120 experimental data series obtained for each mass transfer direction, a correlation is proposed for the coefficient of this model. On a étudié l'effet simultané de la contamination et de l'agitation à l'aide d'un contacteur à disque rotatif pilote et du transfert de matière dans les deux directions avec des gouttes uniques en l'absence de rupture et coalescence de gouttes. Il faut idéalement prendre en compte la portée de la contamination d'une manière quantitative et dans les deux phases avec un seul paramètre. Dans ce travail, on applique un modèle de transfert de matière combiné et on apporte une amélioration en utilisant un coefficient empirique et en ayant une cohérence mathématique. D'après 120 séries de données expérimentales obtenues pour chaque direction de transfert de matière, une corrélation est proposée pour le coefficient de ce modèle.
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".