Two-Dimensional Reaction Engineering Model of the Riser Section of a Fluid Catalytic Cracking Unit
Bibliographic record
Abstract
A two-dimensional model that predicts conversion and yield patterns in the riser section of a fluid catalytic cracking unit has been developed. The riser hydrodynamics have been described by the two-dimensional model of Malcus and Pugsley ( Circulating Fluidized Bed Technology VII; Grace, J. R., et al., Eds.; Canadian Society of Chemical Engineering: Ottawa, Ontario, Canada, 2002). The hydrodynamic model has been modified to make it predictive by incorporating the slip factor for calculation of the cross-sectionally averaged voidage. The model has been coupled with the four-lump kinetic model of Gianetto et al. ( Ind. Eng. Chem. Res. 1994, 33, 3053) to predict how riser operating conditions affect profiles of conversion, yield, temperature, and pressure in the riser. The model was validated against industrial riser data from three literature sources and found to agree within 10−20%. A parametric study of the influence of the liquid feed droplet diameter and feed penetration into the riser was also undertaken. Increasing the droplet size from 50 to 500 μm decreased the gas oil conversion by 4 wt %, while gasoline and light gas yields were both reduced by 1.9 wt %. Increasing the feed penetration distance from the riser wall tended to decrease the gas oil conversion.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".