Study on Modeling Sheet Tensile Strength Based on Papermaking Process Parameters
Why this work is in the frame
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Bibliographic record
Abstract
To quantitative analysis the influence of paper making main process parameters on sheet tensile strength and estabish the sheet tensile strength soft sensor model,the experiment was carried out based on the PAGE equation and with the aid of light scattering coefficient technique,and a new method to determining fiber-fiber shear bond strength was also proposed.The effects of beating degree,wet pressure,moisture content and cationic starch on fiber-fiber shear bond strength and sheet relative bonded area(RBA) were investigated with bleached Canada kraft softwood pulp,and the sheet tensile strength soft sensor model related with these process parameters was obtained finally and the model was verified.The results show that the model has good precision and the stand error mean is about 8%.It's helpful to understand sheet tensile strength deeply and further research soft sensor equipments to measure paper web tensile strength on-line for paper mills.
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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) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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 it