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Record W1980459745 · doi:10.1115/gt2007-28039

Effect of Higher-Order Hydrocarbons on Methane-Based Fuel Chemistry at Gas Turbine Pressures

2007· article· en· W1980459745 on OpenAlexaff
Gilles Bourque, Darren Healy, Henry J. Curran, John M. Simmie, Jaap de Vries, Viktorio Antonovski, B. A. Corbin, Christopher Zinner, Eric L. Petersen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsRolls-Royce (Canada)
Fundersnot available
KeywordsMethaneHydrocarbonAutoignition temperatureCombustionChemistryIgnition systemNatural gasGas turbinesAlkaneThermodynamicsChemical engineeringOrganic chemistryMechanical engineeringEngineering

Abstract

fetched live from OpenAlex

A chemical kinetics mechanism designed for the oxidation of methane-hydrocarbon blends at elevated pressures was used to study the effect of higher-order hydrocarbons on ignition delay time and flame speed at gas turbine conditions. The mechanism was developed from recent data and modeling conducted by the authors, including pressures above 30 atm, temperatures as low as 700 K, and alkane additives from C2H6 through C5H12. Calculations focused on three target natural gas mixtures containing CH4 mole fractions from 62.5 to 98%. The results show the effects that pressure, temperature, and hydrocarbon content have on the combustion chemistry of the fuel-air mixtures. For example, autoignition times exhibit nonlinear trends with increasing pressure and decreasing temperature. Experiments in the authors’ laboratories are ongoing, and an overview of the related facilities is provided.

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 score0.166
Threshold uncertainty score0.842

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 head0.006
GPT teacher head0.251
Teacher spread0.245 · 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

Citations5
Published2007
Admission routes1
Has abstractyes

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