Nichtnewtonsche schäumende Flüssigkeiten in Rieselbettreaktoren – Hydrodynamische Charakterisierung und effiziente Schaumbegrenzung
Bibliographic record
Abstract
Abstract Hydrodynamische Studien in Rieselbettreaktoren unter erhöhten Drücken und Temperaturen beschäftigen sich hauptsächlich mit koaleszierenden, also nichtschäumenden, Systemen. Obwohl in zahlreichen industriellen Prozessen schäumende Flüssigkeiten eingesetzt werden, ist keine aussagekräftige Datenbasis vorhanden. Für die verlässliche Auslegung und den sicheren Betrieb von Reaktoren wurden die Effekte von Temperatur und Druck auf die hydrodynamischen Kenngrößen für newtonsche und nichtnewtonsche schaumbildende Systeme untersucht. Außerdem wurde eine neue operative Methode entwickelt, bei der der Rieselbettreaktor alternierend zyklisch betrieben wird und die ohne die Dosierung von chemischen Zusätzen effektiv zur Begrenzung der Schaumbildung eingesetzt werden kann.
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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) | 0.002 | 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".