Numerical study of the impact of tailored porous media design on syngas production from methane-rich combustion
Bibliographic record
Abstract
This numerical study investigates the impact of four proposed porous burner designs, which are based on a diamond lattice structure similar to what could be obtained with additive manufacturing technology, on H2/CO syngas production. The performances of all the burners were compared, and the results showed that for a given porosity, the recirculation efficiency increased with increasing the pore density. Decreasing the porosity by a factor 2 increased the recirculation efficiency thanks to the presence of higher thermal inertia and local temperature, which allowed to achieve a 53% fuel conversion. Promising results were obtained with the new linearly varying pore diameter matrix, with an observed conversion efficiency of 63% and a reduction in the soot precursor production. This latter behavior itself resulted from an increase in the size of the reaction zone, where elevated temperatures led to high concentrations of H2 and to the partial oxidation of C2 species.
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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 | 0.002 |
| 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) | 0.002 | 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".