Rotational molding of self‐hybrid composites based on linear low‐density polyethylene and maple fibers
Bibliographic record
Abstract
In this study, the morphological, physical, and mechanical properties of maple fiber self‐hybrid composites reinforced linear low‐density polyethylene (LLDPE) have been investigated for different concentration (10, 20, and 30%) and ratio (100/0, 75/25, 50/50, 25/75, and 0/100) of short (125–250 μm), medium (250–355 μm), and long (355–500 μm) fibers. Maple surface treatment with a coupling agent (maleated polyethylene, MAPE) was also investigated. The results show that surface treatment increased the tensile modulus and strength, and impact strength. Finally, the self‐hybrid composites gave better properties than single size fibers since a positive deviation from the linear law of mixture was observed, especially at 20% wt. For example, a 75/25 ratio of medium/short or long/short fibers produced a tensile modulus and tensile strength between 13% and 33% higher than composites formulated with a single fiber size. POLYM. COMPOS., 39:4094–4103, 2018. © 2017 Society of Plastics Engineers
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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".