MétaCan
Menu
Back to cohort

Experimental investigation on the interaction of a supersonic jet with DC discharge plasma using a small supersonic nozzle

2025· article· en· W7083187490 on OpenAlexaboutno aff

Bibliographic record

VenueThe Proceedings of Conference of Kanto Branch · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEducation, Psychology, and Social Research
Canadian institutionsnot available
Fundersnot available
KeywordsSchlierenSupersonic speedJet (fluid)NozzlePlasmaSchlieren imagingCurrent (fluid)Choked flow

Abstract

fetched live from OpenAlex

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.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.406
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.134
GPT teacher head0.382
Teacher spread0.249 · 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 designQualitative
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

Explore more

Same venueThe Proceedings of Conference of Kanto BranchSame topicEducation, Psychology, and Social ResearchFrench-language works237,207