Characteristics of self-oscillating jets in a confined cavity
Bibliographic record
Abstract
Jets emanating into a confined cavity exhibit self-oscillating behavior. This study is focused on evaluating characteristics of oscillating square and round jets. The jet exits from a submerged square or round nozzle of the same hydraulic diameter into a thin rectangular cavity at a Reynolds number of 54 000 based on the nozzle hydraulic diameter and average jet exit velocity. An investigation of the three-dimensional self-oscillatory flow structures is conducted using the unsteady Reynolds-averaged Navier–Stokes equations with the Reynolds stress turbulence model. Vortex identification using the λ2-criterion is used to investigate the flow dynamics. For the oscillating square jet, vortex rings initially have a square shape near the nozzle exit, before axis-switching and transforming into a circular ring. Upon impact on the walls, two tornado-like vortices are produced. The decay rate of oscillating square and round jets initially shows a trend traditionally noted in the corresponding free jets but changes significantly with distance from the nozzle as the effects of oscillation and confinement begin to dominate. Reynolds stress profiles for both types of jets are qualitatively similar and show two peaks on either side of the centerline, which convert to mild peaks farther downstream. Spread and decay rates of oscillating square jets are higher, while oscillating round jets have higher turbulence intensities near the jet center. Compared to free jets, more uniform Reynolds stresses at farther distances from the jet centerline in oscillating jets will enhance heat transfer over a larger area, making oscillating jets suitable in many cooling applications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".