Using cupriethylenediamine (CED) solution to decrease cellulose fibre network strength for removal of pulp fibre plugs
Bibliographic record
Abstract
Abstract The pulp and paper industry is the largest industrial sector that converts wood‐based materials into fibre‐related products. It is common for pulp fibre plugs to develop within pipelines and equipment causing operational downtime, which ultimately requires the use of costly procedures for plug removal. In this study, a laboratory‐scale set‐up was developed to measure the breakup pressure of pre‐formed plugs to indicate the plug (fibre network) strength. A cupriethylenediamine (CED) solution was investigated with regards to its ability to decrease the plug strength. When the concentration of the CED solution is 0.1 M or lower, the plug breakup pressure increases due to fibre swelling. Conversely, when the CED concentration is 0.2 M or greater, the plug breakup pressure decreases significantly due to partial fibre dissolution.
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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 | 0.000 |
| 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 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".