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Record W7132273635

Effects of oxidizer composition on the structure of laminar coflow (CO-H2)/(O2/H2O) diffusion flames

2019· article· en· W7132273635 on OpenAlexvenueno aff
H. C. Xu, F. H. Liu, X. Ren, Z. K. Wang, S. J. Sun

Bibliographic record

VenueNPARC · 2019
Typearticle
Languageen
FieldEngineering
TopicCombustion and flame dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsLaminar flowCombustorSyngasDiffusion flameDiffusionPyrolysisFlame structureLaminar flame speedPremixed flame
DOInot available

Abstract

fetched live from OpenAlex

The structures of laminar coflow syngas diffusion flames burning in O₂/H₂O atmosphere were experimentally and numerically studied at 1 atm and inlet temperature of 400 K. The effects of oxidizer composition on the attachment and fuel pyrolysis inside the fuel tube were investigated by varying the O₂/H₂O molar ratio from 20/80 to 100/0. The flame attachment phenomenon was captured using a digital camera, and a 2D flame code was adopted to model the thermal and chemical structures of laminar coflow syngas flames using detailed kinetics mechanism. Results show that increasing the O₂/H₂O ratio has little influence on the flame attachment since the diffusions of both the fuel components and O₂ in the oxidizer were promoted. However, the temperature of the burner tip was significantly enhanced as O₂/H₂O ratio increases, and kinetics analysis shows that it is attributed to the promoted heat release rate of H + O₂(+M) = HO₂(+M). As the O₂/H₂O ratio increases, syngas pyrolysis inside the fuel tube is promoted, mainly through the H consumption reactions because of the enhanced back diffusion of H from the flame front into the burner.

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 score0.128
Threshold uncertainty score0.374

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 head0.002
GPT teacher head0.178
Teacher spread0.176 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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