Effect of Leading-Edge Tubercles on Rotor Blades
Bibliographic record
Abstract
Current rotor blade designs are limited by retreating blade stall, influenced by local airfoil stall performance in root regions, as well as compressible flow effects and drag divergence of the advancing blade in the tip regions. The application of leading edge tubercles to lifting surfaces have shown to improve post-stall performance in the subsonic regime, and to delay shock-wave formation and improve drag divergence Mach numbers in the transonic regime. This paper explores the effects of leading edge tubercles applied to a canonical rotor. Various tubercle configurations were analyzed using computational fluid dynamic simulations using Euler and RANS equations. Improvements in Figure of Merit of 9.5% were found over the baseline rotor for specific tubercle configurations when operating at a pitch angle of 2 degrees and tip Mach number of 0.794. An increase in thrust coefficients and reduction in power coefficients over the baseline rotor were both attributed to alteration of flow behaviour in different regions of the rotor due to the presence of leading edge tubercles.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".