Experimental Investigation on Tensile Properties of Carbon Fabric-Glass Fabric-Kevlar Fabric-Epoxy Hybrid Composite Laminates
Bibliographic record
Abstract
In this paper, composite and hybrid composite materials were prepared using the hand lay-up method, with carbon, glass, and Kevlar fabrics as the reinforcing materials and epoxy as a matrix. The tensile test was performed to determine the optimal ratio of epoxy resin in carbon fabric/epoxy, glass fabric/epoxy, and Kevlar fabric/epoxy composites in terms of tensile properties. It was found that the optimal ratio of epoxy in terms of tensile properties to impregnate the used Kevlar fabric, glass fabric, and carbon fabric was around 45%wt, 3%wt, and 30 %wt, respectively. The effect of fabric content and stacking sequences, with a fixed epoxy content, on the hybrid composites’ tensile properties were also investigated. The tensile properties of the prepared composites were compared to determine the most favorable preparation conditions for obtaining a hybrid laminate that has high tensile properties and is suitable for a wide range of applications at a low cost.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".