Investigating the synthesis and application of phase change material composites in firefighting clothing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Firefighters respond to emergencies and tackle accidents and fires. Currently, efforts are being made to enhance the protection provided by firefighting clothing. Embedding phase change materials (PCMs) in firefighting clothing can lead to the absorption of external heat flow and flame heat, thereby preventing burns by offering enhanced thermal protection. Considering the importance of maintaining occupational safety and health for firefighters, this systematic review aims to investigate the use of PCMs in firefighting clothing and evaluate their effectiveness in providing thermal protection. The research draws on studies obtained from a systematic search of the Web of Science and Scopus databases. The following keywords were utilized: "phase change materials", "firefighting clothing", "firefighting vest", and "firefighting garment". Out of 225 articles identified, 13 numerical and experimental studies met our eligibility criteria. The melting temperature of PCM used in the reviewed studies ranged from 25 to 450 °C, with enthalpy values between 55 and 430 kJ/kg. The results highlighted the potential impact of PCM on enhancing the thermal resistance of firefighting clothing, as well as extending the time it takes for second-degree burns to occur. Additionally, it was concluded that the effectiveness of PCM is influenced by its type, melting temperature, enthalpy, and mass. Environmental conditions, fire scenarios, and exposure time also play significant roles in this context.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 it