Water mist system for engine compartment fire protection
Bibliographic record
Abstract
Typically, a water mist system is used for fire protection in a total flooding mode in an enclosed space. Use of water mist for fire protection in a local application is less common. This paper describes research work on the local application of water mist for engine compartment fire protection. A water mist system was used to extinguish fires in the engine compartment of an armoured vehicle. An engine protection water mist system was installed in the engine compartment of an operational armoured vehicle. The system had a piping network distributed in the engine compartment of the tank, and many small water mist nozzles were attached to the piping. Fire scenarios that simulate potential fires in the engine compartment were used in the tests. The engine fire scenarios consisted of a pan fire located between the cross members of the engine compartment floor and a spray fire located centrally on top of the engine pack. Two ventilation conditions (engine 'ON' and engine 'OFF') were used in the tests. The test results showed that the water mist system, once activated, extinguished the liquid fuel pool fire or spray fire in the engine compartment effectively. When the fire scenario was a combination of pan and spray fire, the water mist system had difficulty in extinguishing the fire in the engine compartment.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".