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Record W2069389786 · doi:10.1177/09544070jauto1593

Numerical study on the combustion and emission characteristics in a direct-injection diesel engine with preheated biodiesel fuel

2011· article· en· W2069389786 on OpenAlexaff
X-G Li

Bibliographic record

VenueProceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · 2011
Typearticle
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsBiodieselDiesel fuelFuel injectionCombustionSootMaterials scienceDiesel engineBrake specific fuel consumptionInternal combustion engineEnvironmental scienceWaste managementAutomotive engineeringChemistryEngineeringOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

The effect of the biodiesel fuel injection temperature on the combustion and emissions characteristics is investigated numerically in a direct-injection diesel engine. In this three-dimensional simulation study, methyl butanoate (MB) is applied as the surrogate of biodiesel fuel, and a detailed chemical kinetic mechanism of MB containing 41 species and 150 reactions is implemented. The results indicate that preheating the biodiesel fuel plays an important role in the spray and atomization processes, especially when the engine operates under the low-temperature condition. Furthermore, the in-cylinder flow turbulence kinetic energy increases and the flame lift-off length shortens with an increase in the fuel injection temperature. The increase in the fuel injection temperature results in a decrease in the equivalence ratio in the fuel-rich area. The results also reveal that both soot and nitrogen oxide emissions are reduced by preheating the biodiesel fuel.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score0.753

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.213
Teacher spread0.196 · 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 designSimulation or modeling
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
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the Institution of Mechanical Engineers Part D Journal of Automobile EngineeringSame topicAdvanced Combustion Engine TechnologiesFrench-language works237,207