Study on the removal of fine particles by using water in a rotating packed bed
Bibliographic record
Abstract
Abstract This study presented an experimental investigation on the capture of fine particles from gas stream by water in a rotating packed bed (RPB). Experiments were carried out to investigate the effects of different operating conditions including packing types, rotation speed, gas‐liquid volumetric ratio, inlet particle concentration, and gas temperature on the removal efficiency of fine particles. The overall removal efficiency of fine particles can reach 98 % under the optimal operating conditions, which are a rotation speed of 1200 rpm, a gas‐liquid volumetric ratio of 600, a gas temperature of 100 °C, and the use of fine metal gauze packing. In addition, the correlation of removal efficiency of fine particles was deduced. It is observed that the predicted removal efficiency and outlet concentration of fine particles are in good agreement with the experimental values, with deviations within 10 % and 20 % respectively. This process exhibits the potential application of RPBs in simultaneous removal of fine particles and SO2 by liquid solution.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".