Fatigue performance impact of hybridization on Kevlar/flax and glass/flax hybrid composites
Bibliographic record
Abstract
This research investigates the effects of hybridization with flax in two distinct laminates: Kevlar/flax (Kevlar/flax/epoxy, KFE) and glass/flax (glass/flax/epoxy, GFE), each featuring two flax fiber orientations (0° and ±45°) under stress-controlled conditions. Employing the wet hand lay-up method, the laminates, comprising 16 plies in a sandwich structure, undergo tension–tension stress-controlled loading at 5 Hz with R = 0.1 until failure or completion of 10 6 cycles. A comprehensive analysis, encompassing fatigue life, damage modulus, residual strain, fatigue modulus, and hysteresis energy, is conducted to discern the synergies and influences of Kevlar and glass with flax fibers. Results indicate that KFE hybrid specimens exhibit exceptional fatigue strength, surpassing other laminates in load endurance by a significant margin (1.22x–2.46x) over the same cycle count. Conversely, GFE hybrids, despite demonstrating initially higher strength, experience a rapid decline in endurance, particularly evident in the 0° GFE hybrids, which exhibit a 0.43x reduction. Moreover, both KFE hybrids demonstrate a more gradual rate of decline compared to their corresponding GFE hybrids (0.82x and 0.63x) and KFE UD (unidirectional) samples show less sensitivity than FE UD (0.87x). These findings suggest that Kevlar forms a highly effective hybrid with flax, whereas glass, despite common comparisons with flax, does not yield a favorable hybrid for structural applications.
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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 | 0.001 | 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".