Modeling a continuous digester extraction screen zone with an approximated flow model
Bibliographic record
Abstract
Abstract Phenomenological continuous digester models are normally limited to axial flow. However, under industrial conditions, liquor also flows radially in extraction zones. While multidimensional expansion using computation fluid dynamics is possible, the increase in mathematically complexity and computation burden is intractable for online control and optimization. In this work, an approximate algebraic flow model is proposed which removes the need to evaluate momentum continuity. The model, based on streamlines, superimposes radial and axial flow profiles. The dynamic response, when compared against a single continuous stirred tank model, was found to better predict the process response during industrial trials. Simulation studies suggest enhanced lignin removal and variability reductions are possible by increasing recirculated liquor flow rates in the zone, a result of flattening the radial chemical and temperature profiles in the chip phase. However, a minimum occurs as chemical and energy losses in the extracted flow leaving the zone take precedence.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".