Effect of Peroxide Additives on the Detonation Sensitivity of Hydrocarbon Fuels
Bibliographic record
Abstract
The effect of peroxides on the detonation sensitivity of a representative hydrocarbon fuel is experimentally investigated. The peroxides (tert-butyl hydroperoxide and hydrogen peroxide in water solution) were added to decane fuel in vapor form. The fuel/oxygen mixtures were prepared at elevated temperatures and injected into a heated detonation tube at temperatures between 150 – 250 oC and at pressures of 7.6 – 9 kPa. The mixtures were spark ignited and the distance required for the flame to accelerate to a detonation was measured via fiber optics. The results show that the addition of these peroxides does not result in a reduction in the run up distance to detonation. As the concentration of the peroxides is increased, the run up distance increases, indicating a reduction in sensitivity. The addition of tert-butyl hydroperoxide results in a shift of the maximum sensitivity to very fuel rich conditions.
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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 | 0.001 | 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 | 0.000 |
| 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".