On the effect of varying momentum coefficient on separation control for a thick symmetric airfoil
Bibliographic record
Abstract
This study examined flow separation control on a National Advisory Committee for Aeronautics 0025 airfoil through an array of microblowers, systematically analyzing the effects of momentum coefficient (Cμ) at a chord-based Reynolds number of Rec=100 000 and 10° angle of attack. Surface pressure measurements and particle image velocimetry characterized the lift recovery and flow dynamics across different forcing frequencies (F+) and locations (xj/c) over a range of momentum coefficients. Results revealed that lower reduced frequencies (F+∼1) required a lower momentum coefficient threshold for effective flow control than higher frequencies (F+∼10). Progressively increasing Cμ systematically energized Kelvin–Helmholtz waves within the separated shear layer, with wave structures critically dependent on the forcing frequency. These energized vortices enhanced momentum transfer from the freestream, facilitating reattachment of the separated shear layer to the airfoil surface. Beyond initial reattachment, further increases in momentum coefficient produced frequency-specific modifications to the attached flow characteristics.
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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) | 0.001 | 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".