Extrusion of CO₂/n-pentane blends in polystyrene
Bibliographic record
Abstract
Blends of CO₂ and n-pentane were extruded in polystyrene. Rheological characterization of the system using the on-line slit die showed that n-pentane is a more effective plasticizer than CO₂ on an equivalent molar basis. This is consistent with previous findings indicating that larger gas molecules create more internal spacing at the molecular level. Solubility and homogeneity of the blends was also probed using ultrasonic monitoring. It was observed that degassing pressure in CO₂/n-pentane blends was CO₂-dependant only. This feature enables to increase the global gas loading in a foaming system in order to improve the expansion ratio without compromising on the gas pressure exiting the die, which may cause extrusion defects. Moreover, adding a lower diffusing agent such as n-pentane is expected to decrease the overall diffusion rate of the blend. Foam characterization results revealed that incorporating n-pentane to CO₂ lowered the density further while producing foam samples comtaining virtually no open-cells as compared to its pure CO₂ counterpart.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".