Impact of compaction process on the carbon epoxy composite under varied environmental conditions
Bibliographic record
Abstract
Fibre-reinforced polymeric composites utilized in aerospace settings, experience varying environmental conditions throughout their operational lifespan. The major factors that can have adverse effects on their long-term performance are water and temperature. The present study investigates how the determinants such as water and temperature impact the structural integrity of plain weave woven carbon/epoxy laminated composites and further categorizing them into compacted and non-compacted groups. The compacted group involves in-process compactions during composite lay-up and the use of bleeders/breathers around the laminate, whereas the non-compacted group lacks these procedures. Specimens comprising twelve plies are created and submerged in water heating chambers set to different submersion temperatures (40 °C, 70 °C, and 95 °C) for durations ranging from 1 to 10 months. Through experimental analysis, mechanical, physical, and thermal characteristics are examined. The study analyses how temperature, moisture, and submersion duration contribute to the composite material's degradation and compares the outcomes between the compacted and non-compacted groups. The findings indicate that both moisture and temperature negatively affect composite performance. Notably, specimens subjected to 90 °C submersion experience 6% reduction in tensile strength for the compacted group and a 14.8% reduction for the non-compacted group. While minimal disparities in thermomechanical properties are evident between the two groups at 40 °C and 70 °C submersion temperatures, a slight decline is noticeable at 95 °C. This suggests that for high-temperature applications, in-process compaction and the use of bleeders/breathers may be necessary for twelve-ply monolithic laminates.
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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".