Oscillatory behaviour of an industrial slurry polyethylene reactor
Bibliographic record
Abstract
Abstract Considerable attention has been given to the dynamic behaviour of polymerisation processes. Distinct non‐linear phenomena have been predicted (multiple steady states, periodic, and non‐periodic oscillations), but experimental confirmation of such responses has been usually confined to free‐radical polymerisations systems. Particularly, olefin polymerisation reactors are expected to exhibit complex oscillatory dynamics, but this sort of dynamic behaviour has not been reported experimentally. In this work, real industrial data obtained in a full‐scale polyethylene slurry reactor confirm the existence of complex oscillatory behaviour that can lead to process runaway, validating model predictions about the existence of complex dynamics in similar processes. On a porté une attention toute particulière au comportement dynamique des procédés de polymérisation. Des phénomènes distincts non linéaires ont été prédits (régimes permanents multiples, oscillations périodiques et non périodiques), mais la confirmation expérimentale de ces réactions était habituellement réservée aux systèmes de polymérisation radicalaire. Les réacteurs de polymérisation des oléfines sont censés avoir des dynamiques oscillatoires complexes, mais ce type de comportement dynamique n'a pas été démontré sur le plan expérimental. Dans la présente étude, de véritables données industrielles relevées sur un réacteur à combustible en suspension en polyéthylène à grande échelle ont confirmé l'existence d'un comportement oscillatoire complexe qui peut provoquer un emballement du processus. Ces résultats valident les prédictions du modèle relatives à l'existence de dynamiques complexes dans des processus similaires. © 2010 Canadian Society for Chemical Engineering
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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 | 0.001 |
| 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 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".