Numerical simulation of condensation in a supersonic nozzle for application to ejectors in refrigeration
Bibliographic record
Abstract
This thesis is a CFD study of a supersonic nozzle for ejector refrigeration applications.\nCondensation of the working \nuid is aimed inside the nozzle in order to study its conse-\nquences. As a first approach to verify the built-in Wet Steam model in ANSYS Fluent,\na Laval nozzle is tested with water and compared with experimental data from Moses\nand Stein.\nThanks to the User Defined Wet Steam Property Functions in the User Defined Wet\nSteam model, the code is adapted for R134a both ideal and real gas properties and the\nstudy is done with perfect and real gas properties. Anyway, the software presents certain\nlimitations and the real gas Peng-Robinson Equation Of State could not be implemented\ndue to convergence problems.
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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 | 0.001 | 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".