Slat cove dynamics of low Reynolds number flow past a 30P30N high lift configuration
Bibliographic record
Abstract
A three-dimensional computational fluid dynamics analysis of low Reynolds number [O(104)] flow over a 30P30N three-element high lift wing is carried out using a high-order spectral element method. In this article, we study the flow in the slat cove region and the slat wake/shear layer interaction. Vortical structures, identified in the computations, are very similar to those visualized in recent experiments. For Reynolds numbers below a critical interval (found in recent experiments), Görtler vortices are observed in the slat wake, while for Reynolds numbers above the critical interval, a roll-up is observed in the slat cove and both streamwise and spanwise vortices form in the slat wake. Prior to the formation of Görtler and roll-up vortices, three-dimensional tongue- or rib-like vortex shapes, similar to those found in the wake of bluff bodies, are observed in the slat cove and promote transition to three-dimensional flow. Above the critical interval, streaks and spanwise vortices are observed to dominate the slat wake and lead to the formation of hairpin vortices which contribute to the transition to turbulence. Integral flow parameters such as lift, drag, and pressure coefficients are analyzed in the range of Reynolds numbers studied.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".