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Record W4412499586 · doi:10.1134/s1063785025700130

Discharge in a Supersonic Gas Flow in the Expanding Region of a Laval Nozzle

2025· article· en· W4412499586 on OpenAlexaboutno aff
Б. А. Тимеркаев, O. A. Petrova, I G Galeev, B. R. Shakirov, А. А. Сайфутдинова, O. E. Zilyaneva

Bibliographic record

VenueTechnical Physics Letters · 2025
Typearticle
Languageen
FieldEngineering
TopicPlasma and Flow Control in Aerodynamics
Canadian institutionsnot available
Fundersnot available
KeywordsNozzleSupersonic speedMechanicsChoked flowFlow (mathematics)Materials scienceDischarge coefficientEnvironmental scienceAerospace engineeringPhysicsEngineering

Abstract

fetched live from OpenAlex

Abstract A theoretical study of a glow discharge in a supersonic gas flow between the central body (cathode) and the nozzle (anode) is carried out. It is a feature of such discharges that the gas-dynamic characteristics change significantly along the gas flow. This refers to the gas pressure, density, and temperature. In such a situation, the discharge location occurs at а place in accordance with the principle of least action. In a supersonic gas flow inside a nozzle, the gas density increases upstream along the central body. Therefore, in accordance with Hehl’s law, the current density increases along the central body. The theoretical model takes these features of the glow discharge into account and calculates the distribution of the internal characteristics of the discharge both along the electric field strength lines and along the stream. Тhe discharge performances in terms of spatial localization, radiation intensity, and formation of near-electrode zones have been established to depend on the magnitude of the current and the geometric parameters of the nozzle and the central body.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.214
Teacher spread0.207 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2025
Admission routes1
Has abstractyes

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Same venueTechnical Physics LettersSame topicPlasma and Flow Control in AerodynamicsFrench-language works237,207