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Record W3003428263 · doi:10.4271/2020-01-0310

An Experimental Study on the Effect of Exhaust Gas Recirculation on a Natural Gas-Diesel Dual-Fuel Engine

2020· article· en· W3003428263 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2020
Typearticle
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsExhaust gas recirculationDual (grammatical number)Natural gasDiesel fuelExhaust gasDiesel exhaustAutomotive engineeringEnvironmental scienceDiesel engineWaste managementEngineering

Abstract

fetched live from OpenAlex

<div class="section abstract"><div class="htmlview paragraph">Natural gas (NG)-diesel dual-fuel combustion can be a suitable solution to reduce the overall CO<sub>2</sub> emissions of heavy-duty vehicles using diesel engines. One configuration of such a dual-fuel engine can be port injection of NG to form a combustible air-NG mixture in the cylinder. This mixture is then ignited by a direct injection of diesel. Other potential advantages of such an engine include the flexibility of switching back to diesel-only mode, reduced hardware development costs and lower soot emissions. However, the trade-off is lower brake thermal efficiency (BTE) and higher hydrocarbon emissions, especially methane, at low load and/or high engine speed conditions. Advancing the diesel injection timing tends to improve the BTE but may cause the NOx emissions to increase. In this study, exhaust gas recirculation (EGR) is used in combination with the diesel injection timing control to demonstrate the compromises between lowering NOx, soot, and methane emissions while maintaining diesel-like BTE. Determining such optimal operating conditions can not only reduce the consumption of diesel and NG but may also enhance the life of the exhaust after-treatment system components such as the diesel particulate filter (DPF). Tests are performed on a heavy-duty, four-stroke, NG-diesel dual-fuel single-cylinder research engine with independent and flexible air and fuel delivery systems. Two load levels corresponding to 50% and 75% of full load are investigated at a constant engine speed of 1000 rpm and NG-diesel energy ratio of 3:1. Results show that advancing the diesel injection timing at a low EGR ratio (~10% based on intake and exhaust CO<sub>2</sub>) can reduce the soot and methane emissions but cause the NOx emissions to increase. Further increase of EGR to up to 18% can reduce the NOx emissions while limiting the soot emissions to the heavy-duty regulatory limits. In general, with the use of EGR, dual-fuel combustion can provide an improved NOx-soot trade-off compared to diesel-only combustion.</div></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.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
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 score0.766
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.015
GPT teacher head0.268
Teacher spread0.253 · 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