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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 OpenAlexaff
Mebougna Drabo, Jason Davis, Semih Ölçmen, Marcus Ashford, Patrice Seers

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
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 head0.021
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2011
Admission routes1
Has abstractyes

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