Investigation of self-excited oscillation chamber cavitation effect with special emphasis on wall shape
Bibliographic record
Abstract
Analysis of the self-excited oscillating jet nozzle makes it possible to investigate the influence of structural and geometric shapes on the effect of self-excited oscillation cavitation and energy efficiency. In this paper, a new self-excited oscillation chamber structure was obtained using a Bézier curve to reconstruct the wall transition surface, and the cavitation airbag energy concentration was maximized to efficiently utilize the pulse energy. Numerical analysis and simulation were used to study the turbulent kinetic energy, steam volume fraction, and vortex growth cycle of the outlet. The results showed that the novel chamber wall structure weakens the interior secondary vortex in the self-excited oscillation chamber and forms a large cavitation airbag area and reduces energy dissipation. In addition, using the new chamber with redesigned wall structure, the peak turbulent kinetic energy, the velocity at the jet exit, and the vapor volume fraction inside the chamber increased approximately 10.3%, 14.6%, and 9.1%, respectively.
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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".