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Record W2328600381 · doi:10.2514/6.2006-170

On the Use of Reynolds Number as the Scaling Parameter for the Performance of Plasma Actuator in a Weakly Compressible Flow

2006· article· en· W2328600381 on OpenAlexaff
Asad Asghar, Eric Jumper, Thomas Corke

Bibliographic record

Venue44th AIAA Aerospace Sciences Meeting and Exhibit · 2006
Typearticle
Languageen
FieldEngineering
TopicPlasma and Flow Control in Aerodynamics
Canadian institutionsRoyal Military College of Canada
FundersAir Force Research Laboratory
KeywordsReynolds numberScalingCompressibilityActuatorMechanicsPlasma actuatorFlow (mathematics)Compressible flowMaterials sciencePlasmaPhysicsComputer scienceMathematicsTurbulenceGeometry

Abstract

fetched live from OpenAlex

Dimensional analysis of momentum integral equation of boundary-layer flow in the presence of body force was performed to determine the scaling law for plasma body force for an application in boundary layer flow control. The motivation was to relate experiments on a model in a low-speed flow to the prototype in a high-speed, weakly compressible, flow. The analysis showed that the presumption that the matching of Reynolds number will match the effect of the body force on the boundary layer velocity profile was not substantiated. The scaling suggested a requirement for a change in the body force per unit span for a change in the size of the prototype in order to produce similar effect on boundary layer velocity profile.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
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 head0.020
GPT teacher head0.220
Teacher spread0.200 · 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

Citations12
Published2006
Admission routes1
Has abstractyes

Explore more

Same venue44th AIAA Aerospace Sciences Meeting and ExhibitSame topicPlasma and Flow Control in AerodynamicsFrench-language works237,207