Fibre Length Fractionation Caused by Pulp Screening, Slotted Screen Plates
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Fibre fractionation and selective processing of each fraction produces higher quality, more uniform pulp. Engineering efficient pressure screening systems requires appropriate performance equations. This study extends previous screening performance equations by comparing pilot screening tri- als with a mechanistic model of fibre passage through the screen to predict the effects of reject rate, slot width, contour type, and slot velocity on frac- tionation and consistency changes. Smooth-hole screen plates were found to fractionate more efficiently than contour-slot screen plates. Fibre passage through slotted screen plates was strongly dependent on the fluid velocity passing through the slot, while smooth-hole apertures were approx- imately independent of aperture fluid velocity. The maximum fractionation efficiency for slotted plates occurred at slot velocities between 0.5 and 1.0 m/s. The maximum fractionation efficiency for both slot and hole plates occurs at a reject ratio that results in a reject thickening factor greater than two.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 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 it