Analysis of thermal and composition distributions inside a methane thermal decomposition reactor using experiments and simulation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A methane thermal decomposition reactor and its compressible, multi-component, non-isothermal, computational fluid dynamics model were developed. Experimental methane conversion rates are determined at temperatures below 1300 K, for pure methane at varying flow rates, an industrially relevant range rarely studied. The experimental data is used with a least-square parameter estimation framework to determine the reaction rate and activation energy. Only a reaction model with forward and backward rate constants is shown to achieve excellent agreement between numerical and experimental results at all tested conditions. The model is used to study temperature, density, and composition inside the reactor and to assess the validity of commonly used plug flow and negligible gravitational effect assumptions. Results show that: (a) in a 28 mm diameter reactor, radial effects can cause up to 12% errors at high flow rates and 1295 K; and, (b) a minimum flow rate of 0.05 SLPM is needed to prevent gravitational effects.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it