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Record W3011608278 · doi:10.1115/ices2001-112

An Experimental Analysis of EGR on Operational Stabilities of Diesel Engines

2001· article· en· W3011608278 on OpenAlexaff
Minzhang Zheng, Graham T. Reader

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsNOxExhaust gas recirculationAutomotive engineeringReduction (mathematics)Diesel engineDiesel fuelControl theory (sociology)Driving cycleDilutionControl (management)Computer scienceEnvironmental scienceEngineeringChemistryMathematicsThermodynamicsPhysicsPower (physics)CombustionInternal combustion engine

Abstract

fetched live from OpenAlex

Abstract It has been recognized that high ratios of EGR are effective for in-cylinder NOx reduction, the mechanism of which has been largely attributed to thermal NOx reduction. However, engine operations also approach zones with higher instabilities when excessive EGR is used, usually accompanied with higher cycle-to-cycle variations. Although appropriate controlling strategies are capable to set up consistent EGR operations, any drifts in engine control will affect the originally optimized EGR when sufficient feedback control is not available. In reality, without sufficient EGR feedback control, the applicable EGR ratios need to be recessed from maximum allowable ratios in considering discrepancies of EGR control and influences of operating condition variations. An experimental investigation is provided in this paper to propose a method to evaluate the influences of EGR on such instabilities, in terms of independent effects of CO2 addition, O2 dilution, and N2 balancing, with simulated EGR. Extensive tests were conducted using a synthesized intake mixture testing facility. This paper is also a continuation of a cycle-to-cycle variation analysis on such operations reported previously by the authors (Zheng and Reader 1995). The analyses are aimed at identifying thresholds of stable operation with excessive high ratios of EGR whilst without subjecting to the consecutive cyclic disturbances associated actual EGR itself.

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 categoriesInsufficient payload (model declined to judge)
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 score0.006
Threshold uncertainty score0.995

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)0.0060.000

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 head0.021
GPT teacher head0.309
Teacher spread0.288 · 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.

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

Citations7
Published2001
Admission routes1
Has abstractyes

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