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Record W6980501891

The chemical effect of CO2 replacement of N2 in air on the burning velocity and structure of methane premixed flames

2002· article· en· W6980501891 on OpenAlexvenueno aff

Bibliographic record

VenueNPARC · 2002
Typearticle
Languageen
FieldNeuroscience
TopicFace Recognition and Perception
Canadian institutionsnot available
Fundersnot available
KeywordsAdiabatic processFlame structureChemical reactionMethaneThermalChemical speciesChemical equilibriumBranching (polymer chemistry)Atmospheric pressureOxygen
DOInot available

Abstract

fetched live from OpenAlex

A numerical study was conducted to investigate the chemical effect of CO2 replacement of N2 in air on the burning velocity and structure of freely-propagating planar CH4/O2/N2/CO2 flames at atmospheric pressure. Detailed chemistry and complex thermal and transport properties were employed in the calculations. The chemical effect of CO2 was numerically separated from its effects of thermal and transport properties using the strategy developed previously by the authors. Numerical results indicate that the chemical effect of CO2 significantly reduces the burning velocity of CH4/O2/N2/CO2 flames. While the chemical effect of CO2 slightly lowers the mixture adiabatic flame temperature, the significant reduction of the burning velocity by the chemical effect of CO2 is primarily a direct consequence of the reduced temperature gradiant across the reaction zone. The three major reaction pathways of the chemical effect of CO2 were found to be (equation). The presence of CO2 in the fresh mixture plays a chemically inhibiting role through its competition for H radicals with (equation) leading to reduction of the chain branching rate

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.023
GPT teacher head0.257
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), 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
Published2002
Admission routes1
Has abstractyes

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