Modeling and identification of a heated cylinder from perturbations in the drying contact surface
Bibliographic record
Abstract
A based physical model for the prediction of the evolution of humidity and temperature of a thin web of fibrous material and the spatial cylinder temperature during the fabrics drying on a heated-induction cylinder was developed. The model includes heat transfer by conduction, convection, and radiation as well as the energy loss due to water evaporation. A good agreement was found between the physical model results and the experimental measurements of the fabrics humidity and temperature at the dryer exit, and the cylinder temperature along the cylinder perimeter. Simulation results from this model allowed the identification models for this variables process (humidity and temperature of the web of fibrous material and the cylinder temperature), with the contact surface between the fabrics and the hot surface of the cylinder as the manipulated variable, and the humidity of the fabrics entering the dryer as the perturbation variable. The simulation of the process with the identification models was validated with experimental results too and good agreement was found between the identification model results with the experimental measurements for the process variables from the dryer.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".