Cellulose Fibers/Polyethylene Hybrid Composites: Effect of Long Chain Organic Acid Cellulose Esters and Organic Peroxide on Rheology and Tensile Properties
Bibliographic record
Abstract
Composites were prepared by compounding linear low-density polyethylene (LLDPE) with cellulose fibers as reinforcing filler. Effect of a small addition of unsaturated or saturated long chain organic acid cellulose esters (cellulose undecylenate, undecanoate, oleate, stearate) with partial degrees of substitution and the presence of dicumyl peroxide (DCP) as a polymer crosslinking initiator was investigated on the rheological and tensile properties of hybrid composites. No grafting of polyethylene onto fibers surfaces occurred under processing conditions; however composites with DCP showed significant increase in tensile properties. The use of unsaturated cellulose esters in composites containing DCP was more effective in maintaining stress at yield and in progressive increase of energy to yield with higher cellulose esters content and degree of substitution in comparison with composites containing only cellulose fibers. The tensile properties decreased sharply in composites containing saturated cellulose esters.
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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 | 0.000 |
| 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".