COMPÓSITOS DE FIBRAS DE COCO EM MATRIZ EPOXÍDICA ENSAIADAS POR IMPACTO IZOD
Bibliographic record
Abstract
PDF | Fibras naturais podem aumentar consideravelmente a resistência ao impacto da matriz polimérica de compósitos. No presente trabalho investigou-se a resistência ao impacto Izod de compósitos de matriz epoxídica reforçadas com fibras de coco alinhadas de forma contínua. Corpos de prova com até 30% em volume de fibra foram produzidos por prensagem a frio em mistura com resina epóxi. Após cura, os corpos de prova entalhados foram ensaiados em pêndulo de impacto com configuração Izod. Os resultados mostraram um expressivo aumento na energia absorvida no impacto com a fração de fibras de coco. A análise por microscópio eletrônico de varredura constatou que a maior tenacidade destes compósitos é devida à fraca interface entre a fibra e a matriz epóxi. Isto provoca o descolamento ao longo da superfície das fibras, longitudinalmente à direção do impacto, acarretando maior área de fratura e conseqüente maior energia absorvida.
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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) | 0.003 | 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".