A Comparison of the Breakage Mechanisms for Attrition of Selected Polymers in Pneumatic Transport and Spouted Beds
Bibliographic record
Abstract
Predicting the amount of attrition that will occur in a pneumatic transport system is very important in preventing product degradation. Considerable work has been performed on the mechanisms of attrition in fluidized beds; hence, they are well understood. On the other hand, there are fewer correlations that can be used to predict the attrition rate in pneumatic transport and spouted beds. In this study, polymethyl methacrylates particles were attrited in a pneumatic transport pilot plant and the experimental attrition rate was determined. The same particles were also used in a spouted bed with a sonic attrition jet and the attrition rate was measured. Finally, a fluidized bed correlation was applied to the spouted bed and a model was used to determine whether the attrition mechanism in pneumatic transport can be related to the attrition mechanism in the spouted bed.
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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".