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Record W4410632574 · doi:10.22215/etd/2025-16480

Numerical Analysis of Electrical Parameter Effects on a Nanosecond Pulsed Dielectric Barrier Discharge Actuator

2025· dissertation· en· W4410632574 on OpenAlexaff
Katrina Mullane

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicPlasma Applications and Diagnostics
Canadian institutionsCarleton University
Fundersnot available
KeywordsNanosecondMaterials sciencePlasma actuatorDielectric barrier dischargeActuatorDielectricMechanicsElectrical engineeringOptoelectronicsEngineeringOpticsPhysics

Abstract

fetched live from OpenAlex

Dielectric barrier discharge (DBD) plasma actuators are active flow control devices that have shown promising capabilities of enhancing aerodynamic performance. To study the underling mechanisms occurring within the plasma produced by a nanosecond pulsed DBD actuator and the effect the input electrical parameters have on plasma generation, a numerical model has been developed. Because this work is focused on the plasma behaviour, the impact on the bulk flow has been neglected. The plasma properties analysed here include the charged particle densities, surface charge along the dielectric, and the ion sheath propagation. As the applied voltage amplitude and pulse duration was increased, a larger plasma region formed due to the electric field expanding further throughout the domain. The results highlight a significant relationship between the residual surface charge on the dielectric and the propagation of the ion sheath.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.007
GPT teacher head0.280
Teacher spread0.273 · 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 designBench or experimental
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
Published2025
Admission routes1
Has abstractyes

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