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Record W6997404080

Water mist system for engine compartment fire protection

2004· article· en· W6997404080 on OpenAlexaffvenue

Bibliographic record

VenueNPARC · 2004
Typearticle
Languageen
FieldEngineering
TopicFire dynamics and safety research
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsMistFire protectionCompartment (ship)NozzleFirefightingWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score0.228

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.214
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2004
Admission routes2
Has abstractyes

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