Experimental study on the transition of the discharge modes in air dielectric barrier discharge
Bibliographic record
Abstract
Dielectric barrier discharge (DBD) usually manifests as a filamentary streamer discharge in atmospheric air, which limits its industrial application prospect, and the homogeneous DBD with homogeneity and stability has a wider application prospect in the field of material surface treatment, thin film deposition and plasma sterilization than the filamentary one. In order to study the generation condition for the homogeneous DBD in atmospheric air, the characteristics of DBD in the pressure range from 10 Pa to atmospheric pressure are experimentally studied by measuring their electrical discharge parameters and observing their light emission phenomena. The transition of the discharge mode with a change in pressure is observed, and a critical pressure value for generating the homogeneous DBD is obtained, with the influence of barrier materials, their thickness and surface roughness and the air gap distance on the critical pressure values being investigated experimentally. The experimental results show that three characteristic types of discharge modes, including the homogeneous mode, the mixed mode and the filamentary mode, are observed with an increase in pressure. The dielectric barrier plays an important role in the generation of the homogeneous DBD, and the critical pressure values will be larger if the barrier thickness is smaller and the air gap distance is smaller. The critical pd values (the product of gas pressure p and gas gap width d ) are almost constant with the change in the air gap distance, which can be improved by reducing the thickness of the dielectric barrier and by selecting appropriate barrier materials, as is validated by the experimental results.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".