Effect of Boundary Layer Thickness and Passive Vortex Generators on the Wake of a Blunt Trailing Edge Profiled Body
Bibliographic record
Abstract
This thesis studies the effect of turbulent boundary layer thickness on the wake dynamics of a blunt trailing edge profiled body, and investigates a flow control technique by applying passive vortex generators with different size and spacing. The boundary layer thickness was varied by changing the model chord to thickness ratio from 30 to 150 and by changing the Reynolds number from 10,000 to 35,000. Consequently, the displacement thickness in this study ranges from 0.077d to 0.319d, which results in a decrease of Strouhal number from 0.202 to 0.168, and increase in formation length from 0.863d to 1.048d, and an increase in the average wavelength of secondary instability from 2.12d to 3.33d. The effectiveness of the passive flow control was found to have little dependence on Reynolds number, and the most back pressure recovery of 30% and formation length elongation of 80% were achieved with the smallest passive vortex generators spaced at 2.4d, which is close to the wavelength of the secondary instability.
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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".