Chemical modification of low density polyethylene through reactive extrusion: Part I: Process development and product characterization
Bibliographic record
Abstract
A reactive extrusion (REX) process has been developed for the chemical modification of a low-density polyethylene (LDPE) resin using a small amount of peroxide. Experiments have been performed according to a central composite statistical design using a twin screw extruder equipped with an in-line wedge die rheometer. The modified materials have been analyzed in terms of their rheological properties, molecular weight distribution (MWD), and gel count levels. The results have shown that the MWD may be broadened while minimizing gel content and maintaining a melt index above a minimum value. Response surface analysis of the data has shown the peroxide concentration to be the most significant process variable for the range of conditions used. In addition, the statistical analysis has revealed significant correlations between the weight-average molecular weight and consistency index and between power law index and the high molecular weight tail of the MWD ? 2000 John Wiley & Sons, Inc. Adv Polym Techn 19: 237–248, 2000
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".