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Record W2318037299 · doi:10.2514/6.2007-4533

Numerical modeling of DBD plasma actuators and the induced air flow

2007· article· en· W2318037299 on OpenAlex

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPlasma and Flow Control in Aerodynamics
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsPlasma actuatorPlasmaActuatorMechanicsFlow (mathematics)Materials scienceComputer scienceDielectric barrier dischargePhysics

Abstract

fetched live from OpenAlex

An earlier developed detailed physical model of an asymmetric dielectric barrier discharge (DBD) plasma actuator in air driven by repetitive nanosecond voltage pulses and ac/dc bias is used to model realistic experimental conditions, such as nonideal pulses with multiple reflections. The force and heating rate calculated by the plasma model is used as an input to two-dimensional viscous flow solver to predict the time-dependent DBD-induced flowfield. The calculations reproduce the wall jet and vortices observed in experiments and enable determination of the induced flow velocity at the plasma edge and the body force magnitude from the schlieren imaging. A three-electrodes DBD system is theoretically explored, and its advantages are shown to only exist during a very short time following the voltage pulse.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.327
Threshold uncertainty score0.262

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.007
GPT teacher head0.193
Teacher spread0.186 · 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

Quick stats

Citations40
Published2007
Admission routes1
Has abstractyes

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