Numerical Simulations of Cascaded Plasma Torch Using Ar and Molecular Gases
Bibliographic record
Abstract
Abstract In this work, plasma flow inside a cascaded DC torch, effect of a plasma gas composition (Ar or CO2+CH4), and torch performance were studied. Both laminar model and k-ε turbulence model were employed and compared in the simulations. The results revealed that carbon contained gases can significantly increase the arc voltage and torch power. This gas mixture increases the arc voltage by up to 200% in comparison with argon. Voltage-current characteristics were also simulated for the current range of 200-400A. Differences in the torch performance can be attributed to the gases specific properties. For instance, at the same temperature the considered plasma gases have similar electric conductivities but the enthalpy of molecular CO2+CH4 is much higher. Experimental validation indicates that k-ε turbulence model provides better agreement.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".