Experimental investigation on the interaction of a supersonic jet with DC discharge plasma using a small supersonic nozzle
Bibliographic record
Abstract
In this study, the effect of DC discharge plasma on small-scale supersonic flow was experimentally investigated. A discharge was generated on the wall near the nozzle exit of a supersonic jet generated by a small Laval nozzle, generating plasma, and the effect of the DC discharge plasma on the jet field was investigated by visualizing the jet field using the Schlieren method and measuring the total pressure distribution. As a result, no significant changes in the jet were observed when the jet field was visualized using the Schlieren method, but the upper jet boundary angle tended to become smaller when the discharge was on the upper side and larger when the discharge was on the lower side. The jet boundary angle on the lower wall side during under expansion decreased as the set current increased, reached a minimum when the set current was 600 mA, and tended to increase when the set current was 840 mA. In addition, no significant changes in the total pressure distribution were observed, but the total pressure in the center of the jet tended to decrease by about 1.0 kPa. From the above, it can be concluded that a power consumption of 225 W does not lead to active control of the supersonic jet field.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".