Graphene Oxide-Enhanced Aerosol Forming Composites: A Study for Fire Extinguishing Applications
Bibliographic record
Abstract
Condensed aerosol-based fire extinguishing system (CAFES) has emerged as the most proficient fire extinguishing system since the implementation of Montreal protocol 1987. Aerosol forming composite (AFC) is the key constituent of CAFES. For the first time, graphene oxide-based AFCs have been prepared and characterized for use in extinguishing fires. Catalytic activity of bulk graphite, graphite oxide & graphene oxide (1, 3 & 5 %, w/w) on combustion characteristics of AFC was examined by incorporating them in the base AFC. Graphene additives were synthesized and characterized using instrumental techniques such as XRD, FTIR, Raman, SEM and TEM. AFCs with catalysts were also assessed for performance using parameters such as combustion efficiency, minimum fire extinguishing concentration (MEC), burn rate, combustion temperatures and activation energies. Maximum reduction in combustion temperature from 455 to 409 oC was observed with 5 % graphene oxide containing AFC. Addition of 1 % graphene oxide to base AFC remarkably augmented the performance of AFC by enhancing the burn rate by 12.89 %. Prepared high burn rate AFC is under further investigations for potential use in cutting-edge aerosol-based firefighting systems.
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) | 0.000 | 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 | 0.001 |
| 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".