Evolution characteristics of vented gaseous ethanol-gasoline air explosions in a small cuboid channel
Bibliographic record
Abstract
Vented explosion experiments with commercial E10 (10 vol% ethanol - 90 vol% gasoline) were carried out in an optically accessible vented 10 L, 100 × 100 mm 2 cross-section channel. Liquid E10 was added to a channel preheated to 60 °C, and a plastic diaphragm initially covered the vent area located on the top wall near the end wall, at the opposite end of the spark plug . The measured peak overpressure and flame propagation phenomena were analyzed for different E10 liquid volumes and vent areas. As the volume of E10 added increased, both the inner and external peak pressure increased, but then decreased for larger amounts of E10 added. For a given amount of fuel, the pressure time-history was relatively smooth for the smallest vents, and highlighted by strong pressure oscillations for the largest vent openings. The peak channel pressure decreased monotonically with increased vent area because more of the fuel discharged and burned as a flame jet out the vent opening before it could combust inside the channel. The peak pressure and flame acceleration generated for gasoline only, measured for a single vent area, was only slightly lower than that produced with E10. From a process, storage and handling safety standpoint, this implies E10 can be treated similar to gasoline at 60 °C.
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 | 0.000 |
| 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) | 0.001 | 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".