Analysis of Thermal Recovery for SF<sub>6</sub>Gas-Blast Arc within Laval Nozzle
Bibliographic record
Abstract
In this paper we describe a method of estimating the thermal recovery characteristics in a Laval nozzle. The post arc current was calculated according to the decreasing rates of current and the upstream pressures. A two-dimensional differential arc model was used to analyze the arcing phenomena. The radiation energy transport and the turbulence effects were calculated using the semi-experimental arc radiation model and the Prandtl mixing length model, respectively. The electric field and the magnetic field were calculated with the same grid structure used for the simulation of the flow field. The arc model has been coded into "PHOENICS" which is a commercial computational fluid dynamics (CFD) program. In order to investigate the thermal recovery characteristics after current zero, the simulation of steady-state arc of 1000 A DC, the simulation of transient arc generated by the current which decreases with the rate of d i / d t =27.0 and 13.5 A/µs before current zero, and the simulation of hot-gas flow were carried out in an upstream pressure range of 0.68–6.82 MPa. The obtained results were verified by comparison with the test results presented by the research group of GE Co. (General Electric Company).
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".