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Record W2273503665 · doi:10.4271/2006-01-3310

A Preliminary Thermal Response Analysis of Exhaust Pipe Plenums for Diesel Aftertreatment Improvement

2006· article· en· W2273503665 on OpenAlexafffund
Ming Zheng, Usman Asad, Graham T. Reader, David S.‐K. Ting

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2006
Typearticle
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsUniversity of Windsor
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDiesel fuelEnvironmental sciencePetroleum engineeringAutomotive engineeringEngineering

Abstract

fetched live from OpenAlex

<div class="htmlview paragraph">Empirical and analytical investigations are conducted to evaluate the thermal response of exhaust pipe plenums at different levels of exhaust gas recirculation and through a variety of fuel delivery strategies. The effectiveness of different combustion control techniques is evaluated for moderating the engine-out exhaust temperature. Comparison of the external fuel injection with in-cylinder post injection for enabling aftertreatment is provided which indicates the stronger temperature raising potential of the external fuel injection. This research attempts to quantify the thermal response of the exhaust pipe plenums and its effects on the gas temperature at the inlet of the aftertreatment devices. The measurement and modeling of the dynamic thermal response in this research intend to improve the performance of diesel aftertreatment devices.</div>

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.959
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.009
GPT teacher head0.245
Teacher spread0.235 · 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

Citations4
Published2006
Admission routes2
Has abstractyes

Explore more

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