Effects Of Additives, Fuel Mixing, And Mechanically Induced Oscillations On Soot Formation
Bibliographic record
Abstract
<p>Soot is a component of particulate matter (PM) as a bi-product of the combustion process of carbon-based fuels. In this thesis a new optical diagnostic technique for temperature measurements is developed. The effects of soot formation as a cause of fuel additives such as oxygen as well as fuel mixtures of ethylene, ethanol, DME and ethane are evaluated experimentally. Additionally, a novel experimental setup, designed to study the effects mechanical oscillations have on soot formation and temperature, is described and presented alongside experimental results for ethylene flames.</p> <p>Three distinct projects were completed as part of this thesis: (i) Various oxygenated flames and the effect of molecular and additive oxygen on soot formation was studied. (ii) A sudden decrease in soot concentration with oxygen addition was observed and this soot reversal effect due molecular oxygen addition was studied. (iii) A novel experimental setup was developed to study mechanically oscillating flame. Soot concentration and temperature were measured for various oscillation amplitudes and frequencies. The findings of this thesis show synergistic effects of soot production with oxygen addition and the effects of oscillations on soot formation.</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 | 0.001 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".