Numerical Investigations of Shock Wave Reactors Employing Head-On Colliding Shock Waves
Bibliographic record
Abstract
Abstract This study investigates the feasibility of hydrogen production using gasdynamic compression heating, focusing on high temperatures (> 1500 K) shock wave reactors with sufficient residence time for high fuel-to-hydrogen yield. The study compares two designs, an eight-port, and a twelve-port shock wave reactor employing head-on colliding shock waves. The novel twelve-port shock wave reactor design uses multiple pressure-reducing stages when releasing the driving gas from the reaction channels. In comparison, the eight-port design uses a single step to remove the driving gas. The novel twelve-port process is observed to increase the efficiency because the rate of entropy generation from viscous and thermal dissipations is lowered. The numerical results show that the stage-expansion design (twelve-port design) is more efficient than the single-expansion architecture (eight-port design) despite its system complexity. This finding confirms the theoretical principles and suggests that shock wave reactor designs could benefit from multi-stage expansion (and compression) process. The study provides valuable insights for the design and optimization of shock wave reactors for fuel pyrolysis process.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".