A Numerical Investigation of Catalytic Oxidation of Very Lean Methane-Air Mixtures within a Packed-Bed Reactor
Bibliographic record
Abstract
A model for the combustion of methane-air mixtures in the presence of a catalyst in a packed-bed reactor has been developed. The one-dimensional model accounts for both gas-phase (homogeneous) and catalytic surface (heterogeneous) reactions. These reactions are modeled as single-step reactions of the Arrhenius type. Heat transfer by conduction, convection, and radiation has also been included. The governing equations, which are solved numerically, are the unstead-state equations of conservation of mass, chemical species, and energy for both solid and gas phases, which are assumed not to be in local thermal equilibrium. The results of a numerical investigation conducted with methane as a fuel and platinum as a catalyst are presented for a range of operational conditions, such as inlet temperatures (700−1,300 K), approach velocities (1−3 m/s), and equivalence ratios (0.15−0.50). The calculated values of methane conversion within the packed-bed reactor showed good agreement with some corresponding experimental data obtained for similar conditions. The preliminary results of the numerical investigation showed that the oxidation of methane in such a reactor can be modeled adequately.
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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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".