Effect of Evaporation on the Combustion Behaviour of Kerosene Spray Flame
Bibliographic record
Abstract
The aim of this paper is to investigate numerically the effects of the evaporation rate on combustion of kerosene sprays in a partially premixed pre-vaporized combustion chamber. The simulations are carried out by means of a Eulerian-Lagrangian approach under consideration of a full two-way coupling. Two different evaporation models (equilibrium and non-equilibrium ansatz) based on the uniform temperature assumption were used. The combustion is described by a BML like model modified for partially premixed combustion description as encountered in LPP (Bray-Moss-Libby Modell) configuration. Dodecane, whose chemistry was described by the flamelet model, was used as a surrogate for kerosene. To isolate the effect of evaporation on spray combustion, liquid droplets have been sprayed at different temperature conditions in a partially premixed pre-vaporized combustor as experimentally investigated in [23]. It turned out that the non-equilibrium performs well and allows achieving an overall agreement with experimental data. With this confidence in place, some parameter studies could be carried out and additional informations, that were not experimentally available, could be extracted to gain insights relevant to understanding the effects under study.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".