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Record W2051946970 · doi:10.4271/2012-01-1727

Evaluation of a Gasoline Particulate Filter to Reduce Particle Emissions from a Gasoline Direct Injection Vehicle

2012· article· en· W2051946970 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSAE international journal of fuels and lubricants · 2012
Typearticle
Languageen
FieldEngineering
TopicVehicle emissions and performance
Canadian institutionsEnvironment and Climate Change Canada
FundersGovernment of Canada
KeywordsGasolineGasoline direct injectionParticulatesEnvironmental scienceDiesel particulate filterParticle (ecology)Automotive engineeringWaste managementEnvironmental engineeringChemistryEngineeringGeology

Abstract

fetched live from OpenAlex

<div class="section abstract"><div class="htmlview paragraph">Gaseous compounds, particle number and size distribution measurements on a gasoline direct injection (GDI) vehicle and a port fuel injection (PFI) vehicle were conducted over the U.S. Federal Test Procedure 75 (FTP-75) and US06 Supplemental Federal Test Procedure (US06) on Tier 2 certification gasoline (E0) and a 10% by volume ethanol (E10). Overall the GDI test vehicle was observed to have lower fuel consumption than the PFI test vehicle by 6% and 3% for the FTP-75 and US06 drive cycles, respectively. When using E10, this GDI vehicle had a better fuel consumption than the PFI vehicle by 7% and 5% for the FTP-75 and US06 drive cycles, respectively. For particle emissions, the solid particle number emission rates for the GDI, equipped with a 3-way catalyst in its original equipment manufacturer configuration (i.e., stock GDI), were 10 and 31 times higher than the PFI vehicle for the FTP-75 and US06 drive cycles, respectively. However, when a non-catalyzed gasoline particulate filter (GPF) was installed, the solid particle number emission rates were only 2 and 8 times higher than that from the PFI vehicle. For the GDI vehicle, the number-weighted geometric mean particle diameters over both FTP-75 and US06 cycles were in the range of 50-70 nm. The situation was similar for the PFI vehicle over the FTP-75, however, over the US06, most of the emitted particles were ultrafine particles with a diameter of about 10 nm. E10 had little impact on particle diameter for both the GDI and PFI vehicles. The use of E10 fuel generally led to a reduction in particle number emissions on the PFI vehicle over both cycles. For the GDI vehicle, the use of E10 led to a reduction in particle emissions over the FTP-75 but the opposite was observed for the US06 drive cycle. Based on the test results, the unconditioned GPF had a particle filtration efficiency of 82 and 76% for the FTP-75 and US06 cycles, respectively. Results also revealed that the GPF filtration efficiency was strongly linked to the exhaust temperature and continued soot regenerations were the reason for the lower filtration efficiency being observed for the US06 drive cycle.</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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.516
Threshold uncertainty score0.282

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.034
GPT teacher head0.307
Teacher spread0.273 · 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