Application of Laminar Flamelet Model to a Diffusion Flame Combustor
Bibliographic record
Abstract
The flow field of a propane-air diffusion flame combustor with interior and exterior conjugate heat transfers was numerically studied. Results obtained from a laminar flamelet combustion model (228 reactions and 31 species), together with the re-normalization group (RNG) k-ε turbulence model, the discrete ordinates radiation model, and the NOx model, are presented and discussed. These results are compared with a comprehensive database obtained from a series of experimental measurements. The flow patterns and recirculation zone length in the combustion chamber are accurately predicted, and the mean axial velocities are in fairly good agreement with the experimental data, particularly at downstream sections. The mean temperature profiles are also captured fairly well by the laminar flamelet combustion model. Based the velocity and temperature field solutions, NOx simulation was performed in a post-processing mode. The numerical results indicate that the semi-empirical, post-processing NOx model can provide valuable NOx simulations as long as the velocity and temperature fields are adequately predicted.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".