Scale‐up strategy for the jetting fluidized bed using a CFD model based on two‐fluid theory
Bibliographic record
Abstract
Abstract Based on a hydrodynamic two‐fluid model [Brandani and Zhang, Powder Technol. 2006; 163(1–2): 80–87], the scaling relations developed by Glicksman et al., are modified to improve the understanding of the scale‐up of jetting fluidized beds (JFBs). To estimate the ability of the proposed scaling rules to give similar results, simulations are conducted in CFX 4.4. We investigate in detail the effects of jet gas velocity on the scale‐up rule. The similarities of jet evolutions and time‐averaged radial viodage distributions are compared between large and small beds. The computational results confirm that the modified scaling rules are valid for JFBs when all dimensionless groups are matched between the prototype and large‐scale beds.
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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) | 0.000 | 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".