MétaCan
Menu
Back to cohort
Record W2594813107 · doi:10.2514/6.2017-2399

Sounding Rocket Roll Control Through DBD Plasma Actuated Boundary Layer Control

2017· article· en· W2594813107 on OpenAlexaff
Spencer R. Sumanik, Jason Etele

Bibliographic record

Venue21st AIAA International Space Planes and Hypersonics Technologies Conference · 2017
Typearticle
Languageen
FieldEngineering
TopicPlasma and Flow Control in Aerodynamics
Canadian institutionsCarleton University
Fundersnot available
KeywordsPlasma actuatorBoundary layerFreestreamMechanicsSounding rocketChord (peer-to-peer)Dielectric barrier dischargeAerospace engineeringActuatorPlasmaBoundary layer thicknessBoundary layer controlFlow control (data)Materials scienceReynolds numberPhysicsControl theory (sociology)EngineeringElectrical engineeringComputer scienceTurbulence

Abstract

fetched live from OpenAlex

Dielectric Barrier Discharge (DBD) plasma actuators alter the velocity of the air across control surfaces. The induced flow, directed tangential to the surface, inputs momentum to the boundary layer. This analysis examines the feasibility of a simplified boundary condition within computational fluid dynamic (CFD) simulations of a DBD plasma actuator mounted on a rocket fin. The simulations examine the location of the plasma actuator where the pressure differential is largest. Resulting in a plasma actuator location between 40\% and 45\% of the fin chord producing the most force. Secondly with the actuator at 50\% chord a velocity range between 10 and 90 m/s is tested. The highest normal force experienced by the fin due to plasma actuation is approximately 5.5 mN/m at a freestream 70 m/s decreasing as the rocket decelerates. This force and the resulting torque produces an angular velocity of 2.86 RPM of roll on a sounding rocket.

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 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 categoriesMeta-epidemiology (narrow)
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 score0.897
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.230
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 teacher head, not a consensus.

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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venue21st AIAA International Space Planes and Hypersonics Technologies ConferenceSame topicPlasma and Flow Control in AerodynamicsFrench-language works237,207