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Record W3175272509 · doi:10.2514/6.2004-2855

Spanwise Characteristics of High Aspect Ratio Synthetic Jets

2004· article· en· W3175272509 on OpenAlexaff
Sherif Abdou, Samir Ziada

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPlasma and Flow Control in Aerodynamics
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAspect ratio (aeronautics)Computer scienceMaterials scienceOptoelectronics

Abstract

fetched live from OpenAlex

The spanwise characteristics, that is, the two dimensionality of two high-aspect-ratio, planar synthetic jets are investigated experimentally to evaluate their use as actuators for active flow control applications. The two jets, with different slit lengths, are generated through narrow axial slits on a cylinder by acoustical excitation at the cylinder terminations. Measurements of the mean and fluctuating velocities, as well as the phase of velocity fluctuations with respect to the excitation signal, are performed to study the effect of excitation frequency and amplitude on the steady and unsteady spanwise characteristics of the generated synthetic jet. The jet issuing from the long slit is found to exhibit large variations in the spanwise direction, in both its mean velocity and phase. These variations are also dependent on the level and frequency of acoustic excitation. For the short slit, the spanwise variations are substantially smaller. The test results indicate that the short slit is a favorable actuator for active control applications involving the generation of a planar synthetic jet with small spanwise variations. The long slit, however, may be useful for active control applications that require the inducement of large phase variations along the slit.

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 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 score0.376
Threshold uncertainty score0.405

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 head0.004
GPT teacher head0.171
Teacher spread0.167 · 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.

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
Published2004
Admission routes1
Has abstractyes

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