Experimental study on liquid spreading characteristics in a trickle bed
Bibliographic record
Abstract
Abstract The performance of a trickle bed reactor (TBR) is primarily determined by liquid spreading in the reactor. The radial spreading will be weakened under the uniform liquid inlet conditions. To elucidate liquid spreading characteristics, particularly radial dispersion, the non‐uniform liquid inlet condition is investigated in trickle bed reactor. It is found that the liquid spreading characteristics are mainly determined by the governing forces on the liquid. Therefore, dimensionless numbers including the Weber number (We) and the AB number (AB) are introduced to quantify the impact of governing forces. The results show that gravity is the primary governing force under the experiment conditions. Nevertheless, inertial forces and capillary forces show gradually more significant effects with enhanced gas–liquid flow rates and aspect ratios. Gravity and gas‐phase inertial forces promote axial liquid spreading, while capillary forces and liquid‐phase inertial forces promote radial liquid spreading. Finally, an empirical correlation considering the governing forces is established to predict the liquid spreading uniformity.
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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".