An Experimental Study on the Lift-off Characteristics of the Triple Flame within a Diverging Channel
Bibliographic record
Abstract
The lift-off characteristics of the triple flame within a diverging channel have been studied experimentally using a multi-slot burner. This burner can produce a lifted triple flame by controlling strictly the concentration gradient and the mean velocity. \nIn this experiment, the triple flame was stabilized in lift-off condition within a diverging channel and lift-off heights, axial velocity variation, and some other characteristics of the triple flame were examined. It was also investigated that the effects of low concentration gradient and mean velocity change on the triple flame. Methane/air and propane/air flames for various mean velocities had similar trend; they had minimum lift-off height at a certain concentration gradient. This means that the propagation velocity of the flame becomes maximum at a certain concentration gradient. Flammable limit of premixed flame and the diffusion flame behind the premixed flame makes propagation velocity of triple flame fast in very low concentration gradient condition.
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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 | 0.001 | 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".