Study on the solid-liquid mass transfer performance of suspension in rotating packed bed
Bibliographic record
Abstract
This work presents the study on solid-liquid mass transfer performance of suspension in a rotating packed bed (RPB). The calculation model of solid-liquid mass transfer coefficient (ks) is deduced on the basis of the mass conversation law. The ks in RPB is measured using the suspension of cation exchange resin particle reaction with NaOH. The effects of different operating parameters such as pre-dispersion time (t), rotating speed (N), mesh packing thickness (w), liquid volume flow rate (LT), and solid loading (e) are investigated. The results show that the ks increases with the increase of N and w, and increases first and then tends to remain constant with the increase of t and LT. However, the e has no influence on ks. The obtained ks ranges from 1.00×10-5 m/s to 2.60×10-4 m/s which is higher than that in microreactor (MR) under the similar experimental conditions.
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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 | 0.001 | 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) | 0.001 | 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".