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Record W2316243237 · doi:10.1115/ijpgc2003-40108

Effect of Hydrogen Peroxide on Premixed Iso-Octane/Air Combustion

2003· article· en· W2316243237 on OpenAlexaff
Mwila C. Mulenga, David S.‐K. Ting, Graham T. Reader, Ming Zheng

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsCombustionCHEMKINHomogeneous charge compression ignitionIgnition systemAdiabatic processHydrogen peroxideMaterials scienceHydrogenAdiabatic flame temperatureAutoignition temperaturePremixed flameIgnition timingChemistryThermodynamicsCombustion chamberOrganic chemistry

Abstract

fetched live from OpenAlex

The effect of hydrogen peroxide (H2O2) on premixed isooctane/air combustion was numerically investigated using detailed chemical kinetics (Peters’ mechanism) via CHEMKIN. Two cases were examined: one-dimensional, planar, adiabatic, premixed flame, which is of fundamental importance to many combustion systems including internal combustion engines, and zero-dimension, adiabatic Homogeneous Charge Compression Ignition (HCCI). Initial conditions investigated were at 298 K and 1 atm for the premixed flame and 343 K and 1 atm for the HCCI. The effects of H2O2 addition on combustion characteristics including burning velocity, flame temperature, species concentration and ignition delay were deduced. Hydrogen peroxide was utilized as a possible means of emissions reduction. Specifically, the potential of CO reduction due to increased intermediate OH species was studied. The utilization of H2O2 as a means of controlling ignition timing was also explored.

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)0.001
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 score0.498
Threshold uncertainty score0.664

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.232
Teacher spread0.226 · 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

Citations3
Published2003
Admission routes1
Has abstractyes

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