Spectroscopic Measurement of High Argon Jet Plasma Flow Rate for Methane Hydrate Decomposition
Bibliographic record
Abstract
Methane hydrate is believed to contain a massive amount of potentially extractable hydrogen gas due to methane as the main component. A high-frequency argon jet plasma method has been proposed for decomposing hydrogen content. The excitation temperature of plasma can be directly observed from atomic emission lines. This information is more efficient to characterize the plasma behavior to optimize the decomposition process. In this study, the plasma excitation temperature was determined using spectroscopy and Boltzmann’s plot with a higher argon gas flow rate. An argon gas flow rate varied from 300, 400, 500, 1000, 1500, 2000, 2500, and 3000 mL/min. It flows inside a hollow tube in the counter electrode. A 27.12MHz high-frequency power source of plasma was applied to produce jet plasma at atmospheric pressure. The excitation temperature was observed in the range of 4310K to 5133K. The highest excitation temperature of 5133K was obtained at an argon gas flow rate of 500 mL/min.
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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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".