Hydrodynamics behaviour of slot-rectangular spouted beds: assessment of slot width effect
Bibliographic record
Abstract
Spouted beds, originally invented in Canada (1955), have been widely used in drying, granulation, catalytic polymerization, residue treatment and coating of several materials.Understanding of gas and particle hydrodynamics behavior in a slot-rectangular spouted bed is important for evaluation of particle circulation rate and gas-solid contact efficiency and also for overcoming scale-up difficulties.Although have been extensively applied, the mechanisms of solid movement in spouted beds are still not completely understood.In this research, computational fluid dynamics (FLUENT 6.3) has been used to perform a complete study on the hydrodynamic behavior of spouted bed using an Eulerian-Eulerial two-phase model.The Eulerian model assumes that both phases can be considered as fluid and also take the interpenetrating effect of each phase into consideration by using inter-phase drag models.The computational work has been significantly reduced using a 2D axisymmetric mesh for the bed, operating at different conditions (i.e.different superficial gas velocities, static bed heights, size of particle).Furthermore, the effect of slot width on the hydrodynamic behavior of the bed has been predicted.The results predicted by numerical simulation have been validated with the earlier experiments conducted.The comparisons have been made in terms of fountain height for various operating conditions.The results show a good agreement between the experimental data and the numerical simulation.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".