Ignition and flame stabilization of n‐dodecane turbulent premixed flames under Spray A thermochemical conditions
Bibliographic record
Abstract
The role of turbulence on two-stage ignition and subsequent flame stabilization at compression ignition engine conditions is assessed by performing direct numerical simulations in a simplified inflow-outflow premixed configuration. The thermochemical conditions are chosen to match those of the most reactive mixture in the Engine Combustion Network’s n-dodecane Spray A flame. Similar to previous work (Savard et al., Combust. Flame 208 (2019) 402–419) a transition of the stabilization mode from spontaneous ignition to deflagration is observed upon decreasing inflow velocity and/or increasing turbulent Reynolds number. However, for the present conditions there is a regime over which cool flames transition to deflagrations, while hot flames remain stabilized by spontaneous ignition, being pushed further away from the inlet. As cool flames transition to deflagrations, HTC ignition delay is increased considerably (up to 2.5 times larger). In addition, the flame structure in phase space is found to be strongly affected by the transition to deflagration, especially in cool flames. The mechanism controlling the transition, characterized by a reduction in displacement speed, differs between hot and cool flames: the former is attributed to an increase in progress variable gradients while the latter is attributed to a reduction in chemical source terms. The above trends are shown to correlate very well with a transition function and a similar functional dependence is found in laminar flames. Finally, a chemical explosive mode analysis provides further insight into the observed phenomena.
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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 | 0.000 | 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".