Investigation of Particle Motion in a Dry Separation Fluidized Bed Using PEPT
Bibliographic record
Abstract
Developing dry separation methods to replace the commonly used water-based separation has become crucial due to increasing water shortages. One of the candidates for dry processing is gas–solid fluidized beds. The bed behavior and solid motion in fluidized beds have been investigated using various visual and numerical methods for decades. However, there are not enough studies focused on the separation behavior of the fine particles. This work details the investigation of particle motion through a fluidized bed using the positron emission particle tracking (PEPT) technique. Single-particle tracking is a powerful mechanism providing knowledge about separation mechanisms through direct visualization of the particle trajectory determined from recording the particle position over time. In this study, the movements of different-sized beds were characterized by tracking an activated single quartz particle and then by tracking an activated single hematite particle. The separation behavior of a heavy particle was determined for different-sized fractions.
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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 | 0.001 |
| 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".