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Record W2358068219

Experimental Study on Stratified and Homogeneous Combustion of a Methanol Direct-Injection Spark-Ignition Engine

2009· article· en· W2358068219 on OpenAlexaff
LI Ben-zheng, Shenghua Liu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsHomogeneous charge compression ignitionAutomotive engineeringCombustionSootDiesel engineFour-stroke engineIgnition systemDiesel cycleDiesel fuelCompression ratioCylinderThermal efficiencyMaterials scienceInternal combustion engineCarbureted compression ignition model engineCombustion chamberIgnition timingEnvironmental scienceEngine knockingNaturally aspirated engineExhaust gas recirculationEngineeringMechanical engineeringChemistryAerospace engineering
DOInot available

Abstract

fetched live from OpenAlex

In a methanol direct-injection spark-ignition(DISI) engine retrofitted from a 4-cylinder diesel engine,the fuel needs to be injected into the cylinder near the end of compression stroke to realize the stratified combustion at partial loads for improving fuel economy.However,at high loads,the fuel needs to be injected into cylinder during intake stroke to realize the homogeneous combustion for achieving high power output.The results show that the methanol DISI engine can operate within the excessive air ratio of 2.23 and its maximum brake thermal efficiency reaches 35.3%.The methanol DISI engine exhibits higher power output than that of the original diesel engine.The cyclic variations of imep maintains low under a wide range of operating conditions,which shows a stable combustion.NO_x and soot emissions can be decreased simultaneously.

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 score0.100
Threshold uncertainty score0.667

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 head0.019
GPT teacher head0.270
Teacher spread0.250 · 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
Published2009
Admission routes1
Has abstractyes

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