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Record W1576731767 · doi:10.4271/2004-01-2913

High-speed Video Observation of Engine Oil Aeration

2004· article· en· W1576731767 on OpenAlexfundno aff
Devon Manz, Jim S. Cowart, W. K. Cheng

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2004
Typearticle
Languageen
FieldEngineering
TopicVehicle emissions and performance
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaFord Motor Company
KeywordsAerationAutomotive engineeringEnvironmental scienceComputer scienceMarine engineeringWaste managementEngineering

Abstract

fetched live from OpenAlex

The oil aeration process in the crankcase of a V6 engine was visualized with a high-speed video camera and a borescope at engine speeds up to 4500rpm and oil temperatures to 70°C. The video images showed that a high-speed oil droplet stream was flung from the crankshaft counterweight, passed through the oil drainage gap in the windage tray and struck the free surface of the oil in the sump. There was a speed threshold beyond which foam was observed to form on the oil surface. When the engine speed was reduced to below that threshold, the foam disappeared. When the windage tray was removed, there was no foam formation. The results suggested that foam formation was the net result of the balance between the air bubble formation and destruction proces es. These two processes were speed dependent.

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)0.000
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 score0.965
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.012
GPT teacher head0.222
Teacher spread0.210 · 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

Citations8
Published2004
Admission routes1
Has abstractyes

Explore more

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