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Record W1498794105

초음속 플라즈마 유동에 대한 정상 열유속 탐침 및 엔탈피 탐침 측정

2012· article· ko· W1498794105 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venue한국추진공학회 학술대회논문집 · 2012
Typearticle
Languageko
FieldEngineering
TopicEngineering Applied Research
Canadian institutionsnot available
Fundersnot available
KeywordsHeat fluxNozzleSupersonic speedMach numberStagnation enthalpyEnthalpyMechanicsThermodynamicsSupersonic wind tunnelPlasmaChoked flowChemistryMaterials sciencePhysicsHeat transfer
DOInot available

Abstract

fetched live from OpenAlex

Stationary heat flux (Gardon gage) and enthalpy probe measurements were carried out to characterize the supersonic plasma flow of 0.4 MW class plasma wind tunnel constructed at CBNU. For this purpose, supersonic plasma was generated by arc heater equipped with Laval nozzle of Ma=3 at the operation conditions of 0.35 MW and 30 Torr. From the measurement experiments, we can obtain the heat flux of 7.62 MW/㎡ and the specific enthalpy of 16.12 MJ/kg at the position of z=135 mm from the nozzle. In addition, Mach number of the supersonic plasma flow was also estimated using a simple relationship between the heat flux and specific enthalpy, which is based on the boundary layer theory, and then, it is expected that higher Mach number and specific enthalpy can be achieved at higher input power and lower chamber pressure.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.537
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.012

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 head0.015
GPT teacher head0.251
Teacher spread0.236 · 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