Characterization of a rotating gliding arc in argon at atmospheric pressure
Bibliographic record
Abstract
Abstract The dynamics of a low-power (<40 W) rotating gliding arc in atmospheric pressure argon sustained by a homemade dual DC power supply between a conical cathode and a grounded sleeve anode and forced into motion by the combined action of a vortex gas flow (<26.3 SLPM) and axial magnetic field (~0.043–0.122 T) was studied. High-speed imaging and electrical diagnostics were used to gain an understanding of the projected arc length, position of the attachment point on the central cathode, and frequency of arc rotation. The electrical signals revealed a glow-type mode of operation, which characteristically low current and high voltage. The square root dependency of the rotating arc frequency on the applied current predicted by a simplified model considering the gas vortex drag and Lorentz forces was confirmed with measurements. Rotation frequencies in the ~100–300 Hz range with average projected arc lengths of 4–8 mm creating a large stabilized reactive volume were obtained. We further demonstrated that the Lorentz force acting on the rotating gliding arc is equivalent to the hydrodynamic drag caused by an argon flow rate of ~8 SLPM for this device configuration.
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 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 | 0.000 |
| 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".