A Study of the Solids Mixing in a Bubbling Fluidized Bed Using the TFM Method. Part II. Solids Dispersion Coefficient
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Bibliographic record
Abstract
Solids mixing plays an essential role in industrial processes. In this study, solids mixing in the bubbling fluidized bed were investigated numerically by the Eulerian-Eulerian method. The solids mixing behaviour in the bubbling fluidized bed was studied via comparison of the dispersion coefficient of particles (the mixing index). The study mainly compared the effects of design parameters (gas distributor and baffles) and operating conditions (superficial gas velocity) on the solids mixing in the bubbling fluidized bed. A baffle can improve the vertical dispersion coefficient in the upper section, while the inlet gas distributor configuration more affects the lower section. Combining both a baffle and a gas distributor does show noticeable improvement in the solids mixing.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it