Noise prediction of a controlled diffusion airfoil at high angle-of-attack
Bibliographic record
Abstract
Direct Numerical Simulations (DNS) of the compressible flow over a Controlled Diffusion (CD) airfoil are conducted at a high geometrical angle-of-attack of 15°. To obtain far field noise predictions, the compressible DNS results are coupled with the Ffowcs Williams & Hawkings acoustic analogy. The mean installation effects associated with open-jet anechoic wind tunnel conditions are included in the computations. A large flow separation with a large coherent structure shedding is observed in the front part of the airfoil, followed by a re-attachment at mid-chord, and a second flow detachment downstream. Similar to the work previously conducted on the 8° case, three noise sources have been found: the flow separation and reattachment; the interaction between the attached turbulent flow at the trailing edge; and a secondary instability in the near wake. Yet, the first noise source is predominant at a high angle-of-attack of 15°.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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; both teacher heads agree on what is shown here.
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".