PREDICTING THE LENGTH OF LOW-MOMENTUM JET DIFFUSION FLAMES IN CROSSFLOW
Why this work is in the frame
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Bibliographic record
Abstract
Abstract A phenomenological model is presented for predicting the size of low-momentum jet diffusion flame in crossflow. This model relates the length of the flame (L f) to the diameter of the issuing jet (d s ), the exit velocity (V j ) and density (ρ j ) of the jet gases, the crossflow velocity (U ∞), and dilution of the fuel by an inert gas. Flame shape and size are modeled with two basic principles: flame shape is set by the fuel jet and crossflow properties and flame size is set by the timescale for the stoichiometric amount of oxygen to mix with the fuel jet. Experimental data are presented in which d s , V j , U ∞, and fuel jet dilution were all varied. The data show two regimes in which flame length either increases or decreases with increasing crossflow velocity. The predicted flame lengths agree with the measurements, within a root-mean-square error of 15%. Keywords: crossflowdiffusion flamesexperimentsflame lengthmodeling Adrian J. Majeski is currently at CANMET Energy Technology Centre–Ottawa, Natural Resources Canada, Ottawa, Ontario, Canada.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it