Exploring the flexural and impact properties of pure flax/epoxy and Kevlar/flax/epoxy composites through experimental and numerical analysis
Bibliographic record
Abstract
Hybrid composites offer a viable alternative to conventional composites in terms of reduced cost and environmental impact. This study investigated the effect of hybridizing flax with Kevlar on the flexural and impact properties of Kevlar/flax/epoxy composites using three-point bending, drop-weight, and Charpy impact tests. The tested specimens were made of unidirectional flax fibers (F) and woven Kevlar fibers (K) in four configurations: unidirectional flax/epoxy [0 16F ] (UFE), angle-ply flax/epoxy [±45 4F ] S (AFE), woven Kevlar/unidirectional flax/epoxy [0–90 2K /0 6F ] S (UKFE), and woven Kevlar/angle-ply flax/epoxy [0–90 2K /±45 3F ] S (AKFE). The three-point bending test results showed that the ultimate strength and the flexural modulus of the UKFE increased by 15% compared to pure UFE and by more than threefold for AKFE compared to AFE laminates. Additionally, the results of the drop-weight test revealed a significant increase in the impact force by 30% for both unidirectional and angle-ply laminate configurations. Similarly, Charpy test results indicated a 60% improvement in the impact energies of the flax laminates. The predictions of the proposed finite element model agreed very well with the experimental results. These findings demonstrate the effectiveness of hybridizing two layers of Kevlar onto flax/epoxy composites in enhancing the composite's impact and flexural properties.
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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".