Long-term closed-loop recycling of high-density polyethylene/flax composites
Bibliographic record
Abstract
This work investigates the loss of performance and the recyclability of natural fibre composites for a long-term closed-loop process. Composites based on flax fibres and high-density polyethylene are subjected up to 50 extrusion cycles under constant processing conditions with or without maleic anhydride grafted polyethylene as a coupling agent. The results show that the addition of fibre increases the rigidity but decreases the elongation properties. The initial processing cycle leads to an important decrease of the fibre length and modification of the molecular weight distributions, thus indicating that the addition of fibre enhances chain scission and that fibre breakup mainly happens during the initial processing. The effect of recycling is much less significant, except for the mechanical properties. Negligible variations are observed for density, differential scanning calorimetry, thermogravimetric analysis, gel permeation chromatography and impact results. On the contrary, the mechanical properties are strongly affected by recycling as most of them increase with recycling. The addition of a coupling agent improves the composite properties, but this effect disappears with recycling. These trends are associated to a balance between fibre breakup and macromolecular chain scission compared to more homogeneous materials (better fibre distribution) taking place in the materials during recycling. The results show that long-term recycling of composites is possible as their overall performances remain acceptable.
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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) | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".