In-line Ultrasonic Monitoring of Filler Dispersion during Extrusion
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Mechanical and rheological properties of filled polymers are very sensitive to the filler dispersion. Classical methods for evaluating dispersion are based on optical or scanning electron microscopy observations on extruded specimens. They cannot be used in-line and are generally time consuming. We present here an in-line characterisation technique to evaluate the dispersion of calcium carbonate, CaCO 3 , in polypropylene. The technique is based on the monitoring of velocity and attenuation of ultrasounds in the flowing material. These properties are measured in a specially instrumented die placed at the end of a single screw extruder. Measurements were made for filler concentrations up to 60 wt.%. In-line data are compared to dispersion indexes measured by an optical method on 25 micron thick films.
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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) | 0.000 | 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) | 0.000 | 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