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Record W2321200367 · doi:10.2514/6.2014-0652

Soot Formation in Laminar Diffusion Flames of Diluted Ethylene in Air at Pressures up to 20 ATM

2014· article· en· W2321200367 on OpenAlexaff
Ahmet E. Karataş, Ömer L. Gülder

Bibliographic record

Venue52nd Aerospace Sciences Meeting · 2014
Typearticle
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSootLaminar flowDiffusion flameDiffusionMaterials scienceEthyleneChemical engineeringCombustionChemistryThermodynamicsOrganic chemistryCombustor

Abstract

fetched live from OpenAlex

The effects of dilution on soot formation and flame structure in nitrogenand carbon dioxide-diluted co-flow ethylene/air flames were studied experimentally at pressures up to 20 atm. A constant ethylene flow rate was maintained for all flames, and dilution rates were set at two ratios; 1:2 and 1:3 by mass (fuel to diluting gas ratio) at all pressures. For these dilution rates flames were stable and nonsmoking within the pressure range. The soot volume fractions and temperatures were measured by the spectral soot emission (SSE) technique. Maximum soot volume fractions were consistently lower in carbon dioxidediluted flames in the lower pressure range but approached similar values to those in nitrogen-diluted flames at 20 atm. This observation implies that the chemical soot suppression effect of carbon dioxide, previously demonstrated at atmospheric pressure, is also present at elevated pressures up to 15 atm, but fades off beyond 15 atm. Temperatures decreased with increasing pressure, and the peak temperatures were observed near the flame tips due to the heat release from soot oxidation.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.130
Threshold uncertainty score0.550

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.012
GPT teacher head0.251
Teacher spread0.239 · 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

Citations4
Published2014
Admission routes1
Has abstractyes

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