Production of PLA‐Milled Carbon Fibers (MCF) filled filaments for Fused Filament Fabrication (FFF) printing
Bibliographic record
Abstract
Abstract Polylactide (PLA) filaments for fused filament fabrication (FFF) printing with high content of milled carbon fibers (MCF, average length of 1000 nm) are produced. The selected MCF are obtained from commercial sources that derives them from pyrolysis of carbon fibers composites. Twin‐screw extruder equipped with volumetric and side feeders are used to melt mix different content of MCF (i.e., from 10 to 30 wt%) prior to filament extrusion. The produced reinforced filaments are used for 3D printing specimens that are characterized in terms of their thermomechanical properties. Higher mechanical properties compared to commercial reinforced filaments are obtained with the filament modified with 30 wt% of MCF.
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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".