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Record W2318506633 · doi:10.2514/6.2005-4212

Detonation Cell Size Measurements for Gaseous Mixtures of JP-10 and Air

2005· article· en· W2318506633 on OpenAlexaff
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Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicCombustion and Detonation Processes
Canadian institutionsQueen's University
Fundersnot available
KeywordsDetonationBody orificeDeflagration to detonation transitionMaterials scienceDeflagrationFOIL methodMechanicsTube (container)TurbulenceCell sizeThermodynamicsChemistryComposite materialExplosive materialPhysicsAnatomy

Abstract

fetched live from OpenAlex

*† An experimental study of the detonation properties of the high molecular weight aviation fuel JP-10 was performed. Detonation cell size measurements for mixtures of JP-10 vapor and air at elevated initial temperatures are reported. Experiments are preformed in a 6.2 m long, 10 cm inner-diameter heated detonation tube at an initial mixture pressure of 2 atm and initial temperatures of 373K, 473K and 528K. The first half of the tube is equipped with turbulence producing orifice plates. Flame acceleration leads to detonation initiation within the first 2 m of the orifice plate laden part of the tube and a CJ detonation wave propagates in the smooth second half of the tube. The detonation cellular structure is recorded on a soot foil inserted into the end of the tube. The detonation cellular structure for off-stoichiometric mixtures was found to contain substantial substructure. The average cell size is obtained by measuring the transverse distance between parallel diagonal tracks scoured onto the foil. It was found that to within the measurement uncertainty the cell size changed very little over the temperature range tested. The measured deflagration-to-detonation transition composition limits are found to correlate well with the classical detonation propagation criterion based on the detonation cell size and the orifice plate diameter.

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 score0.501
Threshold uncertainty score0.339

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 head0.014
GPT teacher head0.223
Teacher spread0.208 · 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

Citations2
Published2005
Admission routes1
Has abstractyes

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