Prediction of minimum fluidization velocity in pulsed gas-solid fluidized bed
Bibliographic record
Abstract
Abstract: Fluidized bed technology plays a vital role in petrochemistry and coal separation. To enhance fluidization stability, the flow is periodically introduced into the gas-solid fluidized bed to form a pulsed gas-solid fluidized bed. As the main fluidization parameter, the minimum fluidization velocity (umf) can reflect the change of the critical state of particles in the pulsed gas-solid fluidized bed, directly affecting the study of two-phase distribution in the bed. Due to lack of theoretical study on umf in pulsed gas-solid fluidized bed, the work proposed a novel method to predict umf comibined with soft sphere model. Meanwhile, the spring-damping and the resonance force models were established under the action of pulsating airflow. A theoretical model of umf was then derived for pulsed gas-solid fluidized bed based on experimental stress analysis of particles. The novel correlation is basically agreement with almost available data in the literatures and present work.
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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) | 0.001 | 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 | 0.001 | 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".