Flow Around a Leading-Edge Slat: Part I — Turbulent Flow Statistics
Bibliographic record
Abstract
As aircraft engine noise continues to decrease with advancing research, the focus has been partially shifted to airframe noise. One of the main sources of airframe noise are high lift devices, which includes the leading-edge slat on wings. The leading-edge slat works along with the tail flap to provide increased lift to the aircraft during takeoff and landing. This paper will present the findings of an experimental investigation aimed at identifying the sources of noise produced by the leading-edge slat geometry. The main focus of the experiments was the slat cove. Small scale wind tunnel experiments were undertaken at the University of New Brunswick using Particle Image Velocimetry (PIV) to obtain time-averaged Turbulent Kinetic Energy (TKE), Reynolds stresses and vorticity. The experiments were performed at Reynolds numbers of 156,000 and 312,000 for an angle of attack of 20 degrees. The results indicate the presence of a strong shear-layer formed at the slat cusp which is likely to be an significant source of aeroacoustic noise.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".