Characterization of interlaminar shear properties of nanostructured unidirectional composites
Bibliographic record
Abstract
Composites are key materials in the aerospace and aeronautics industry. However, a disadvantage is their susceptibility to interlaminar fracture because of poor adhesion at fiber surface and matrix interface. Carbon nanotube (CNT) growth onto carbon fiber (CF) surface is a promising method to increase CF–matrix adhesion. This work studies interlaminar properties of unidirectional CF composites and thermoset matrix, with CNT deposition on CF surface. CNT growth goes along in chemical vapor deposition with a floating catalyst of ferrocene and flow of CO2 and C2H2 precursors. Tensile strength tests on single-filament and CF tow showed the preservation of tensile properties after preparation and growth. Results of the interlaminar shear strength study presented a 35% increase in shear strength and a 15% increase in fracture toughness at the initial delamination crack. An overall analysis reveals an improvement in the interlaminar interface on mechanical tests; however, fracture toughness analysis is limited by fragile pathways in intralaminar regions.
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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) | 0.001 | 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".