Rheological Modification of LLDPE Through Reactive Processing with Peroxide
Bibliographic record
Abstract
Abstract The presence of long-chain branching provides advantageous properties to a molten polymer in film production, especially for a fast growing commodity plastic such as polyethylene. Besides the innovation of polymerization, the most attractive method to tailor the molecular structure is peroxide modification via reactive processing which is the post-reactor technique. By this process, it can achieve the enhancement of ability of the melt to be drawn or stretched during the film processing due to branching. However, to avoid the undesired excess of macroscopic molecular network, which may cause defects in the film product, a small quantity of peroxide initiator was used to modify the base resin. The rheological properties, as related to molecular characteristics, were investigated using a capillary rheometer. Rheological analysis of the products modified by different peroxide addition methods was of interest as changes in rheological properties depend markedly on the efficiency of incorporating and mixing the peroxide into the polymer. Process parameters (including mixing temperature, peroxide quantity, and mixing speed), which appear to be responsible for the molecular characteristics alteration, were considered in order to produce materials with preferred rheological properties.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".