Bibliographic record
Abstract
An experimental study of the detonation properties of the high molecular weight aviation fuel JP-10 was performed. Detonation cell size measurements for mixtures of JP-10 vapor and air at elevated initial temperatures are reported. Experiments are preformed in a 6.2-m-long, 10-cm inner-diameter heated detonation tube at an initial mixture pressure of 2 atm and initial temperatures of 373, 473, and 528 K. The first half of the tube is equipped with turbulence producing orifice plates. Flame acceleration leads to detonation initiation within the first 2 m of the orifice-plate-laden part of the tube, and a detonation wave propagates in the smooth second half of the tube. The detonation cellular structure is recorded on a soot foil inserted into the end of the tube. The detonation velocity measured just before the foil is within 1 to 2% of the theoretical Chapman‐Jouget velocity. The detonation cellular structure for off-stoichiometric mixtures was found to contain substantial substructure. The average cell size is obtained by measuring the transverse distance between parallel diagonal tracks scoured onto the foil. It was found that to within the measurement uncertainty the cell size changed very little over the temperature range tested. The measured deflagration-to-detonation transition composition limits are found to correlate well with the classical detonation propagation criterion based on the detonation cell size λ and the orifice plate diameter d, that is, d/λ ≥ ≥ 1. The measured JP-10 vapor air mixture cell size is correlated with the calculated Zeldovich von Neumann Doring (ZND) induction length for propane air mixtures with similar stoichiometry.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".