Modelling the Effect of Pressure on Soot Formation in Varying-Pressure Coflow Laminar Diffusion Flames
Bibliographic record
Abstract
<p>Soot formation from combustion devices is a health and environmental concern. Therefore, a comprehensive understanding of soot is a necessity; however, due to its complexity, it is poorly understood, especially with high-pressure combustion. In this thesis, a detailed numerical soot formation code, CoFlame, has been successfully utilized to model varying-pressure coflow laminar diffusion flames. The results of this thesis are divided into two sections; first, an investigation of the impact of a novel pressure-based reaction rate of acetylene addition in the Hydrogen- Abstraction-Carbon-Addition (HACA) mechanism on soot formation in varying pressure flames is addressed in chapter 4. Second, an assessment of the influence of pressure on the formation of recirculation zones along the centerline of the flame and the subsequent effect of the flow field on soot formation in elevated-pressure coflow diffusion flames is addressed in chapter 5.</p> <p><br></p>
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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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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".