Flow and release characteristics of a potential Halon substituent CF3I influenced by filling density and pressure
Bibliographic record
Abstract
Halon fire-extinguishant has been banned by the Montreal Protocol due to the ozone-depleting effect, and CF3I is proposed as a promising alternative to Halon on aircraft cargo compartments. The filling density and filling pressure of CF3I in the fire-extinguishing vessel are critical for the design of onboard fire-extinguishing system. Therefore, this paper combines experimental test and quantitative computational fluid dynamics numerical simulation to explore flow and release characteristics for CF3I under five sets of filling densities and five sets of filling pressures. The increase in filling density and the decrease in filling pressure are unveiled to promote the evaporation of CF3I. In addition, a release parameter of R is herein proposed to quantitatively assess the release efficiency of CF3I under varying conditions, and the recommended ranges of filling density (514–1028 kg/m3) and filling pressure (2.5–3.5 MPa) are accordingly proposed for CF3I. As revealed by the monitored phase transition mass transfer rate, Halon 1301 can be evaporated at the pipeline inlet from the beginning of the agent discharging process, while CF3I only evaporates when approaching the nozzle at the later stage of the agent release process.
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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".