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Record W2808045132 · doi:10.1080/00102202.2018.1477770

DDT limits of ethanol–air in an obstacles-filled tube

2018· article· en· W2808045132 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCombustion Science and Technology · 2018
Typearticle
Languageen
FieldEngineering
TopicCombustion and Detonation Processes
Canadian institutionsQueen's University
FundersFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsBody orificeDeflagrationEthanolTube (container)ChemistryDetonationAnalytical Chemistry (journal)Range (aeronautics)ThermodynamicsMechanicsMaterials scienceChromatographyComposite materialExplosive materialOrganic chemistry

Abstract

fetched live from OpenAlex

Experiments were performed to study flame acceleration and deflagration-to-detonation transition (DDT) in ethanol–air mixtures in a tube filled with orifice plates with a blockage ratio of 0.44. Tests were conducted at initial temperatures of 100 and 200°C, and initial pressures of 60 and 101 kPa. Experiments carried out at 60 kPa did not result in DDT, whereas tests performed at 101 kPa, at both 100 and 200°C, resulted in DDT for mixtures in the equivalence ratio range of 1.1–1.3. In a previous study, cell size data of a “double cell structure” have been obtained for mixtures of ethanol–air. Using the d/λ = 1 criterion (that has been confirmed in the tube and orifice plate geometry used in this study with gaseous fuels at room temperature), it was determined that the DDT limit correlates with the ethanol large-cell size reported in the previous study. As a result, for explosion safety purposes, the large-cell size data should be used for assessing the DDT potential of an ethanol–air mixture.

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.

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 score0.300
Threshold uncertainty score0.305

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
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 head0.022
GPT teacher head0.277
Teacher spread0.256 · 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