Investigation for influence of wall effects on cavitation number and pressure field of ventilated cavitating flows
Bibliographic record
Abstract
A natural cavitation model was coupled with the isotropic mixture multiphase model.By solving the RANS equations,RNG k-e turbulence transport equtations of the mixture and the mass transtport equations of each phase,steady ventilated cavitating flows were simulated in round-section water tunnels for a given underwater vehicle model with a disk cavitator using universal CFD code-FLUENT.The influence of wall effects on the cavitation number and pressure field of ventilated cavitating flows was investagated in closed water tunnels.The gained blocking cavitation number is in direct proportion to the diameter ratio of the disk to the water tunnel,and it was close to the potential solution for a 3D disk in natural cavitating flows.The characteristic of the pressure distribution was studied in ventilated cavitating flowfields under the action of wall effects.According to computational data several approximate formulas in a certain range of validity were put forward for the length and maximum diameter of the ventilated cavity as well as the drag coefficient of the model.
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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".