Effect of Dielectric Degradation on Dielectric Barrier Discharge Plasma Actuator Performance
Bibliographic record
Abstract
The objective of this study was to investigate a method to monitor the health of plasma actuators. Common actuator dielectric materials were used in this research, namely Kapton polyimide tape, and those manufactured from printed circuit boards (PCB) having a dielectric of FR-4 composite material. Actuators utilizing these dielectric materials are known to visually degrade during operation. However, a quantitative measure of the degradation of these actuators has not yet been examined. A parametric study was used to identify the role of operational parameters, actuator excitation voltage and frequency, on the rate of the degradation process over long durations. Measurements of the actuator power consumption and capacitance were used quantify the change in actuator health over time. It was shown that both the power consumed and effective capacitance of the plasma actuator may increase considerably during the degradation process, which was related to the thinning of the dielectric layer. Specifically, only the top exposed layer of Kapton was affected, whereas the underlying adhesive layer remained intact. The variation in actuator power consumption and capacitance could be mitigated by considering actuators with an increased number of Kapton tape layers. For actuators having a dielectric of the FR-4 composite material, the presence of the plasma affected the acrylic epoxy however, the woven fibreglass remained in tact. It was shown that over the duration of the experiments the power consumption and effective capacitance decreased for these actuators. Measurements of the wall-jet induced for each actuator type was used to monitor the momentum production over time. The momentum production decreased for the FR-4 actuators over time. For the Kapton polyimide tape actuators, momentum production could increase.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".