Temperature Corrected Turbulence Model for Supersonic Oxygen Jet at High Ambient Temperature
Why this work is in the frame
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Bibliographic record
Abstract
It is known that the two-equation turbulence models under-predict the turbulence mixing shear process for the compressible non-isothermal jet. In this study, a temperature corrected turbulence model on the basis of the SST k-ω model was proposed to predict the behavior of the cold supersonic oxygen jet injecting into the high-temperature environment. The results show that the corrected SST k-ω model is superior to previous corrected k-ε models when simulating the whole process of the supersonic oxygen jet flowing from a Laval nozzle into free space. Meanwhile, the calculation results of the outlet free jet at 285 K, 772 K and 1002 K are in good agreement with experimental data and empirical formulas in the literature. Furthermore, the behavior of the supersonic oxygen jet at 1873 K is predicted by the proposed model. In addition, the effects of the ambient temperature on the jet core length and the interaction between multiple jets were also studied.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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