Moisture barriers used in firefighters' protective clothing: Effect of accelerated thermal aging on their mechanical and barrier performance
Bibliographic record
Abstract
Abstract Moisture barriers are an essential component in firefighters' protective clothing as they allow water vapor to exit and prevent liquids from entering into the garment. However, they may be sensitive to thermal aging. This study investigates the effect of accelerated thermal aging at temperatures between 95 and 240°C on three different moisture barriers used in firefighters' protective clothing. Variations in their tear force, water vapor transmission rate (WVTR), and apparent contact angle were observed after thermal aging. These variations were influenced by factors such as the base fabric structure, fiber content, adhesive characteristics, and presence of an additional flame‐resistant polyurethane coating on top of the expanded polytetrafluoroethylene membrane. Adhesive degradation and delamination were observed in one moisture barrier, whilst different extents of base fabric degradation occurred in all three of them, leading to tear force reduction. Depending on the moisture barrier and aging temperature, the membranes experienced crack formation or pore closure, which affected the WVTR. The water‐repellent finish on the fabric side degraded in two moisture barriers but was not affected in the other. These findings highlight the importance of considering the constitutive materials and the structure of moisture barriers to understand their aging behavior and improve firefighters' safety.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".