Kinetic characteristics of the particles in a dense‐phase pulsed fluidized bed for dry beneficiation
Bibliographic record
Abstract
Abstract Coal is one of the most important primary energy sources all over the world. Dry coal beneficiation is a hot topic in the mineral processing field because of severe environmental pollution and shortage of water resources. A dense‐phase pulsed fluidized bed (DPPFB) is proposed for the dry coal beneficiation of fine coal; an active pulsating airflow was introduced into an air dense medium fluidized bed (ADMFB). In this study, the kinetic characteristics of the particles in a DPPFB were investigated by computational particle fluid dynamics. The results show that the bubbles present in the DPPFB were much smaller than those in the ADMFB, and the motion of the dilute‐phase region replaced the motion of the large bubbles. Because of the action of the pulsating airflow, the motion of the heavy medium became uniform and steady. The back‐mixing phenomenon caused by the circulation motion of the heavy medium was suppressed significantly.
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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".