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Record W2073362317 · doi:10.2514/6.2011-672

Unsteady Flow Analysis in a Fired Briggs-Stratton Internal Combustion Engine

2011· article· en· W2073362317 on OpenAlex
Mebougna Drabo, Jason Davis, Semih Ölçmen, Marcus Ashford, Patrice Seers

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

Venue49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition · 2011
Typearticle
Languageen
FieldEngineering
TopicCombustion and flame dynamics
Canadian institutionsUniversité du Québec
Fundersnot available
KeywordsCombustionInternal combustion engineUnsteady flowFlow (mathematics)Automotive engineeringEnvironmental scienceComputer scienceMechanicsEngineeringPhysicsChemistry

Abstract

fetched live from OpenAlex

Unsteady velocity measurements made near the spark-plug location of a fired Briggs and Stratton IC engine using a single-component LDV fiber-optic spark-plug LDV probe are reported. An off-the shelf engine was first equipped with an IMPCO carburetor adapter to allow the engine run using methane gas. Velocity data obtained during the engine start and the engine run were analyzed using high-pass filtering, wavelet decomposition, proper orthogonal decomposition, and wavelet decomposition together with proper orthogonal decomposition techniques to separate the mean and fluctuating velocity components. Data was further analyzed to determine the standard deviation of the fluctuating velocity signal and the cross correlation between the pressure and velocity signals. Results show that mean velocity delayed by 0.034 seconds show a high correlation with the pressure signal.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.021
GPT teacher head0.233
Teacher spread0.212 · 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