Prediction of slip velocity in a Hanson mixer‐ settler extraction column
Bibliographic record
Abstract
Abstract Slip velocity within mixer and through the column has been measured in a pilot plant Hanson mixer‐settler column by using three different liquid–liquid systems with and without mass transfer conditions. The effects of agitation speed, dispersed and continuous phase flow rates, interfacial tension and mass transfer on slip velocity have been investigated under a variety of operating conditions. Two empirical correlations for prediction of the slip velocity within mixer and through the column are recommended in terms of physical properties of liquid systems and operating variables excluding holdup. The prediction of slip velocities from the presented correlations is in good agreement with experimental results. La vitesse de glissement à l'intérieur du mélangeur et dans la colonne a été mesurée dans une colonne de mélangeur‐décanteur Hanson en installation pilote en utilisant trois systèmes liquide‐liquide différents avec et sans conditions de transfert de masse. Les effets de la vitesse d'agitation, des taux d'écoulement des phases dispersées et continues, de la tension interfaciale et du transfert de masse sur la vitesse de glissement ont été étudiés sous une variété de conditions de fonctionnement. Deux corrélations empiriques pour la prédiction de la vitesse de glissement à l'intérieur du mélangeur et dans la colonne sont recommandées en termes de propriétés physiques des systèmes liquides et de variables de fonctionnement excluant la retenue. La prédiction des vitesses de glissement à partir des corrélations présentées s'accorde tout à fait avec les résultats expérimentaux. Can. J. Chem. Eng. © 2010 Canadian Society for Chemical Engineering
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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 | 0.001 |
| 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".