Numerical Study of Methane Pyrolysis Inside a Single-Channel Shock Wave Reformer
Bibliographic record
Abstract
Abstract The paper describes a numerical investigation of the thermal decomposition of methane to hydrogen and carbon within a single-channel, four-port wave rotor using a three-dimensional (3-D), Reynolds-averaged Navier-Stokes (RANS) CFD model. This work is in support of the New Wave Hydrogen, Inc. (NWH2) proprietary technology development. A Menter’s k-ω SST turbulence is used for the closure of the mean momentum equations and is coupled to multispecies transport equations with a one-step finite-rate chemistry model. The kinetic model is validated based on a set of measurement data of a double-diaphragm shock tube case. To further examine the predictive accuracy of the numerical approach, the results of the 3-D single-channel wave rotor are compared with those of quasi-one-dimensional unsteady model that has been previously reported extensively in literature. It is observed that when the wave rotor channel is exposed to the high-pressure driven gas (HPDRV N) port, a secondary right-running shock wave is generated, which greatly energizes the flow around the HPDRV N port, resulting in large magnitudes of pressure and temperature; and consequently, the cracking of methane into hydrogen and carbon. The comparison between 1-D and 3-D simulation results indicate that the LPDRV N gas penetration is around 75% of the channel width in the case of 1-D, but is below 50% in the 3-D case. Furthermore, the conversion rate of methane in the 3-D case is one order of magnitude smaller than that in the 1-D case.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".