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Record W1975421431 · doi:10.4271/2014-01-1294

The Impact of Intake Dilution and Combustion Phasing on the Combustion Stability of a Diesel Engine

2014· article· en· W1975421431 on OpenAlexafffund
Prasad Divekar, Xiaoye Han, Shui Yu, Xiang Chen, Ming Zheng

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2014
Typearticle
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsUniversity of Windsor
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of WindsorFord Motor Company
KeywordsCombustionAutomotive engineeringDilutionDiesel fuelDiesel engineHomogeneous charge compression ignitionEnvironmental scienceStability (learning theory)Diesel cycleInternal combustion engineComputer sciencePetrol engineCombustion chamberEngineeringChemistryThermodynamicsPhysics

Abstract

fetched live from OpenAlex

Conventionally, the diesel fuel ignites spontaneously following the injection event. The combustion and injection often overlap with a very short ignition delay. Diesel engines therefore offer superior combustion stability characterized by the low cycle-to-cycle variations. However, the enforcement of the stringent emission regulations necessitates the implementation of innovative diesel combustion concepts such as the low temperature combustion (LTC) to achieve ultra-low engine-out pollutants. In stark contrast to the conventional diesel combustion, the enabling of LTC requires enhanced air fuel mixing and hence a longer ignition delay is desired. Such a decoupling of the combustion events from the fuel injection can potentially cause ignition discrepancy and ultimately lead to combustion cyclic variations. This work investigates the impact of exhaust gas recirculation and combustion phasing on the combustion stability and cyclic variations of a diesel engine while entering into the LTC operation regime using a single-injection fueling strategy. Experiments are conducted on a laboratory instrumented high compression ratio (18.2:1) diesel engine. The combustion phasing control and the application of moderate-to-high EGR are used to achieve ultra-low NOx and smoke emissions. The combustion characteristics and emission performance are presented. Cycle-resolved cylinder pressure measurements acquired for 200 engine cycles are used to evaluate indicated engine performance and apparent heat release parameters including ignition delay, burn duration, combustion phasing, and the pressure rise rate. The results indicate that the enabling of single-injection diesel LTC demands precise control over operating conditions and it is sensitive to minor variations in the injection timing and the amount of EGR applied. However, when successfully controlled, this combustion mode exhibits cyclic variability comparable to conventional diesel combustion.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.015
GPT teacher head0.257
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2014
Admission routes2
Has abstractyes

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