Surface modification of cellulosic materials for polyethylene composite applications
Bibliographic record
Abstract
Cellulose fibers obtained from aspen wood via the Organosolv pulping method were surface modified by maleated polyethylene (MAPE) in a xylene solution to improve their adhesion/dispersion in 30% wt. filled linear medium density polyethylene composites. The chemical analysis of unmodified and modified fibers as well as morphological, rheological, and mechanical characterizations of their composites showed that successful MAPE grafting on the fibers' surface was achieved leading to a substantial improvement of the fiber‐matrix interfacial quality as tensile strength improved by 29% when compared with the composites containing unmodified fibers. The treatment also improved the rigidity and creep resistance of these composites which is highly suitable for building and construction applications. POLYM. COMPOS., 40:E202–E213, 2019. © 2017 Society of Plastics Engineers
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".