Prediction of Solids Accumulation in Slurry Bubble Columns with Polydispersed Solid Loadings
Bibliographic record
Abstract
A core-annulus multicompartment pseudo-2D two-bubble class model accounting for gas and slurry recirculation and coupled with catalyst sedimentation/advection/dispersion/lateral exchange balance equations for monodispersed and polydispersed solid particle systems was proposed to study the hydrodynamics of slurry bubble column facing solids accumulation in the reactor. The distribution of bubbles was represented by a bimodal two-class distribution: large and small bubbles. The model was coupled with a Prandtl–Nikuradse mixing length shear turbulence model or Sato bubble-induced and shear turbulence model to obtain the radial slurry velocity profile. A criterion for setting the onset of particles accumulation in the slurry bubble column was established. In solids polydispersed feeds, the influence of operating conditions (column diameter and height, solids feed mass flux and concentration, particle size distribution, gas velocity, and liquid viscosity) on the threshold particle size corresponding to the onset of particles accumulation in the reactor was analyzed systematically.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".