Flow features of shallow cylindrical cavities subject to grazing flow
Bibliographic record
Abstract
The flow behavior within shallow cavities of circular planform, subject to grazing flows, exhibits a strong dependence on the cavity depth (h)-to-diameter (d) ratio. In the present experimental study, the internal flow patterns within shallow circular cavities having a depth-to-diameter ratio of 0.15 ≤ h/d ≤ 1 have been extracted from mean static and unsteady surface pressure measurements collected on the cavity surfaces. In the literature, no comprehensive experimental study spanning this entire h/d range is available characterizing the flow behavior in shallow cylindrical cavities; only certain aspects of flow at select h/d are present in the current literature, and the present paper addresses this shortcoming. In agreement with the previous research on shallow cylindrical cavities, the mean flow orientation and the amplitude of large-scale pressure fluctuations within the cavity are observed to follow a non-monotonic function as the depth-to-diameter ratio is varied, with h/d = 0.5 exhibiting the greatest asymmetry in flow orientation. The division of the internal cavity flow into stable, switching, and flapping regimes established by previous related studies has been reevaluated, and utilizing a simple filtering technique, a modification to the classification of these flow regimes has been proposed for the present conditions. Furthermore, the observation of two high-frequency pressure oscillations, measured within the cavity for the flapping regime, has been linked to shear layer instabilities.
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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 | 0.000 |
| 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) | 0.001 | 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".