Decomposition Kinetics of Perfluoro‐(4‐methyl‐2‐pentene) (C <sub>6</sub> F <sub>12</sub> ) and its Extinguishing Performance Study
Bibliographic record
Abstract
Abstract The urgent desire for Halon substitution has initiated the development of potential environment friendly alternatives since the Montreal Protocol and subsequent amendments were introduced. Atmospheric degradable agents such as halogenated alkenes, fluorinated ketones and cyclic compounds have been extensively studied. Among them, perfluoro‐(4‐methyl‐2‐pentene) (C 6 F 12 ) has an analogous structure to C 6 F 12 O (Novec 1230) and has been regarded as one kind of potential substitute. In this paper, the main decomposition kinetics of C 6 F 12 are studied numerically. In addition, the interactions between C 6 F 12 and flames are studied experimentally. The results show that the suppression effectiveness of C 6 F 12 is comparable to C 6 F 12 O, and the temperature rise is not obvious. The low chemical reactivity is believed to be caused by the perfluorinated methyl and isopropyl groups adjacent to olefinic carbon decreasing the reactivity of C 6 F 12 toward OH radicals. Chemical kinetics simulation indicates that H‐induced reactions dominate the initial decomposition of C 6 F 12 , and a lot of isomers will be formed via a series of isomerization reactions and subsequent decomposition reactions at high temperature. These findings suggest the promising applicability of C 6 F 12 and worth further study.
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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) | 0.002 | 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".