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Record W2365896500

Experimental study on fire suppressioneffectiveness of superfine and surfacetreatment powder

2006· article· en· W2365896500 on OpenAlexaboutno aff
Guangxuan Liao

Bibliographic record

VenueApplied Mechanics and Materials · 2006
Typearticle
Languageen
FieldEngineering
TopicFire dynamics and safety research
Canadian institutionsnot available
Fundersnot available
KeywordsAmmonium bicarbonateMaterials scienceParticle sizeSodium bicarbonateParticle (ecology)Waste managementEnvironmental scienceComposite materialForensic engineeringChemical engineeringEngineeringRaw materialChemistryGeology
DOInot available

Abstract

fetched live from OpenAlex

The present article is concerned about the authors' experimental research on the method to improve the property of the fire suppression agents. As is known, one of the most useful fire suppression agents, the traditional dry powder has been applied in portable fire extinguishers for years. When the production of Class I ozone depleting substances (ODS), such as Halon 1301, began to stop after adoption of the Montreal Protocol, dry powder is considered as a suitable alternative due to its environmental compatibility, fast fire extinguishing power and lower cost. According to the demands of the new clean and effective fire suppression agents, the present authors have built a laboratory-scale immovable fire suppression system, in which three kinds of typical powder are used, that is, the normal ammonium phosphate dry powder, sodium bicarbonate dry powder and superfine surface treatment sodium bicarbonate powder. Our investigation has been focusing on the relationship between the powder surface structure and the fire suppression effectiveness. The fire extinguishing time was recorded when powder types, particle sizes and working pressures were changed. The particle size of the powder and microcosmic structure of powder surface were observed through the electronic microscope scanning. And then the fire suppression mechanism of powder was also studied. Our research results show that there is a significant impact on the fire suppression effectiveness when the particle size is lower than 10 μm. Besides, the working pressure also proves to have influences on the fire suppression effectiveness. It was found that when the working pressure increased, the extinguishing time of the normal ammonium phosphate chemical and sodium bicarbonate powder would gradually decrease. Under the same experimental condition, kerosene fires prove to be easier to be extinguished when superfine and surface treatment sodium bicarbonate powder is used. By analyzing the results of the research, it can be concluded that the pressure, the particle size of the powder and microcosmic structure of powder surface plays chief role in determining the capability of the powder in fire extinguishing. It is also found by the authors that the fire extinguishing time of superfine powder is just half of the ordinary dry powder.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.423

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 head0.007
GPT teacher head0.226
Teacher spread0.219 · 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 designBench or experimental
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

Citations1
Published2006
Admission routes1
Has abstractyes

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