Long fiber thermoplastic PET composites : fiber content and consolidation pressure
Bibliographic record
Abstract
PET-based long glass fiber thermoplastic (LFT) composites manufactured from PET fibers and E-glass fibers have been studied. To manufacture these composites, PET and glass fibers are first cut to the same length and laid-down into a mold in thin alternate layers to obtain a regular distribution of the polymer and reinforcing fibers. The charge is then compression molded in a steel mold into rectangular plates. In this study, the influence of the glass fiber content and consolidation pressure on the void content, void distribution and mechanical properties is investigated. Results obtained for the influence of the fiber content show significant improvements of the tensile properties with increasing glass fiber content. Only small improvements are however measured for the flexural properties. This is thought to be related to the presence of large and continuous voids in the fiber bundles. Results of mechanical tests also show an improvement of the tensile modulus with increasing consolidation pressure.
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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) | 0.001 | 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 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".