CFD Modeling of High-Speed Condensation in Supersonic Nozzles, Part I: Steam
Bibliographic record
Abstract
The present work tries to tackle the CFD simulation of condensation inside a De Laval nozzle. The intended application is the numerical modelling of supersonic ejectors working with different fluids: R718 (water) and R134a (Freon). Both these refrigerants are “wet” fluid and their expansion inside supersonic nozzles can lead to non-equilibrium condensation that alter the pressure and Mach profiles and induce thermodynamic losses. The numerical analysis of these phenomena requires modelling the microscopic behaviour of the fluid whose properties must be reproduced with a high level of fidelity. In part I of this work, the accuracy of the wet steam model build in a commercial CFD software is evaluated by comparison with an experimental test case. In part II of the work, the same model is adapted to reproduce the properties of Freon.
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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 | 0.001 | 0.001 |
| 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".