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Record W1540306940 · doi:10.4271/2006-01-0187

Development of a Novel Uniflow-Scavenged Two-Stroke GDI Engine

2006· article· en· W1540306940 on OpenAlexaff
D. Ohlmann, Steve Reynolds, G. Ciccarelli

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2006
Typearticle
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsQueen's University
Fundersnot available
KeywordsTwo-stroke engineComputer scienceAutomotive engineeringEngineeringInternal combustion engine

Abstract

fetched live from OpenAlex

<div class="htmlview paragraph">This paper reports on the progress in the development and testing of a novel two-stroke gasoline direct-injection engine (GDI) that incorporates uniflow scavenging without the use of camshaft actuated poppet valves. Compressed air is fed into the cylinder through a matrix of passive check valves located in the cylinder head. Air-only scavenging, in combination with high-pressure GDI, ensures that traditional two-stroke pitfalls, such as high emissions and poor fuel economy due to short circuiting, are eliminated. The engine was successfully operated at speeds up to 5500 rpm. In-cylinder and intake plenum pressures were measured as a function of time and crank angle from which the check valve opening and closing time and the duration of the scavenging process was identified. The delivery ratio and air-fuel (A/F) ratio are reported.</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)0.000
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 score0.847
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.001
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 head0.012
GPT teacher head0.237
Teacher spread0.225 · 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

Citations3
Published2006
Admission routes1
Has abstractyes

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