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Record W2024345314 · doi:10.1021/ef900805v

Investigation of the Structures of Attached and Lifted Flames with Various Ignition Positions over a Triple Concentric Burner in the Hysteresis Regime

2009· article· en· W2024345314 on OpenAlexfundno aff
Hyeon-Jun Kim, Jinhoon Choe, Hyun Dong Shin

Bibliographic record

VenueEnergy & Fuels · 2009
Typearticle
Languageen
FieldEngineering
TopicCombustion and flame dynamics
Canadian institutionsnot available
FundersKorea Advanced Institute of Science and TechnologyCanada Excellence Research Chairs, Government of Canada
KeywordsConcentricCombustorIgnition systemHysteresisMaterials scienceMechanicsCombustionPhysicsCondensed matter physicsChemistryThermodynamicsGeometryMathematics

Abstract

fetched live from OpenAlex

This study focuses on the turbulent nonpremixed flame characteristics in a triple concentric burner with the ignition positions “on the burner” (upstream position) and “above the burner” (downstream position). The flames were attached and lifted when the ignition positions were upstream and downstream, respectively. Numerical simulations were performed for cold flow, attached, and lifted flames. The calculated lift-off height and velocity profiles were in good agreement with the experimental results. In both the attached and lifted flame cases, the flame was situated along the stoichiometric mixture fraction line and in the region where the Damköhler number ( Da ) was >1. The stoichiometric mixture fraction curve below the lifted flame was on the same line as the stoichiometric equivalence ratio curve of the cold jet. Furthermore, it was found that the two flames exist at the crossover point of the triple curves, which are comprised of the stoichiometric mixture fraction curves of two flames, the Da = 1 curves of the two flames, and the stoichiometric equivalence ratio curve of the cold jet. It was inferred that cold jet fields may dominantly affect the characteristics of a turbulent nonpremixed flame. That is, the ignition position in the cold jet determines the bifurcation of the attached and lifted flames.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.865
Threshold uncertainty score0.189

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 head0.192
Teacher spread0.185 · 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 designObservational
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

Citations6
Published2009
Admission routes1
Has abstractyes

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