Gas mixing and modeling of secondary gas distribution in a bench‐scale fluidized bed
Bibliographic record
Abstract
Abstract The effect of distributing gaseous feed along a bubbling fluidized bed of diameter 152 mm was studied with fluid catalytic cracking particles. Steady‐ and unsteady‐state experiments show that the secondary gas concentration profile at the injection level was almost uniform for high secondary and low primary gas velocities. Secondary gas readily mixed within a short distance above the injection level. Backmixing was primarily influenced by the primary feed superficial gas velocity. Regardless of its injection velocity, secondary gas was barely detectable below the injection level at low primary superficial velocities. Axial dispersion and mass transfer decreased significantly when some gas was introduced at higher levels, compared with a bed where all gas entered through the windbox. Two two‐phase models are proposed to simulate gas mixing, the first with a step‐change in gas flow rate at the injection level, the second accounting for additional mixing in the jet region. © 2004 American Institute of Chemical Engineers AIChE J, 50: 922–936, 2004
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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".