Polylactic acid/recycled wind turbine glass fiber composites with enhanced mechanical properties and toughness
Bibliographic record
Abstract
Abstract The amount of composite waste from decommissioned wind turbine blades grows rapidly and recycling solutions should be generated to overcome this environmental challenge. This research aims to further develop a recycling method to recover components of dismantled turbine blades by reusing them as reinforcement for new composites. Recycled short glass fibers from shredded blade composites are incorporated into polylactic acid (PLA) to fabricate a composite (15 wt% fiber) that could be used for 3D filament fabrication. To improve the mechanical properties of the composite, a coupling agent was employed to refine the interactions between PLA and recycled glass fibers at the interface of the two components and enhance the adhesion. Due to the inherent brittleness of PLA, which is aggravated with the addition of recycled glass fibers, a toughening agent involving chain‐end modification was incorporated into the composite to improve the toughness of the system. The concurrent outcome of the coupling agent and the toughener on the morphology, mechanical properties and thermal behavior of the composite was evaluated. The incorporation of 1,2,3,4‐butane tetracarboxylic acid and silane‐treating of the recycled fibers improved the strength by 30% and elongation at break and impact strength of the composite 3 and 2 times, respectively.
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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 | 0.000 |
| 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".