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Record W2332819344 · doi:10.2514/6.2012-2944

Effect of DBD Plasma Actuator Geometry and Excitation for Producing Transient Growth Modes in a Laminar Boundary Layer

2012· article· en· W2332819344 on OpenAlexafffund
Luke Osmokrovic, Ronald Hanson, Philippe Lavoie

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPlasma and Flow Control in Aerodynamics
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPlasma actuatorActuatorBoundary layerMechanicsMaterials scienceDielectric barrier dischargeHarmonicsBoundary layer thicknessPlasmaControl theory (sociology)VoltageAcousticsPhysicsDielectricElectrical engineeringOptoelectronicsEngineering

Abstract

fetched live from OpenAlex

This work is concerned with the response of a Blasius boundary layer to plasma actuators for the purpose of using these devices in bypass transition control. The structure of actuator-induced boundary layer streaks is measured using hot-wire anemometry over a streamwise distance of a approximately 100 boundary layer thicknesses, based on a thickness of 4 mm at the point of actuation. Spanwise power spectra of the streamwise disturbance velocity show that 90% of the actuator-induced disturbance energy is contained within a mode related to the spanwise spacing of the exposed actuator electrodes, and its first 3 harmonics. The modal content and corresponding streamwise growth characteristics are discussed for four plasma actuator geometries over multiple excitation voltages in the 3:5 5:5 kVPP range. Actuator output was found to have a closer correlation to actuator power consumption than the excitation voltage. A common relationship between disturbance energy and power consumption was found among actuators of different dielectric thickness and similar electrode geometry. Degradation of the actuators was observed over the course of their running lifetime, causing test cases to diverge gradually from this relationship.

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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.006
GPT teacher head0.215
Teacher spread0.209 · 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

Citations6
Published2012
Admission routes2
Has abstractyes

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