Design and Test of an Active Pneumatic Trailing Edge Flap for High-Speed Rotorcraft
Bibliographic record
Abstract
As part of the High-Speed, Highly Efficient Rotor (HSHER) program, a novel trailing-edge flap concept is evaluated. A finely tuned internal laminate topology, coupled with a lightweight pneumatic actuation system, enable a performant trailing-edge flap technology that does not require electronic or mechanical actuators within the rotor blade. The trailing-edge flap is experimentally shown to provide a 12-degree range of motion between the downward and upward deflected configurations under pressures which can be generated passively by the rotation of the rotor blade. The structure is shown to be sufficiently stiff against aerodynamic pressures and moments, is resilient to strains resulting from large blade deflections, and can hold its shape in the event of pneumatic actuator failure. Additionally, the test data confirmed the strong predictive capability of the finite element analysis for highly-compliant laminate designs such as this. The design is highly customizable and can accommodate a wide variety of airfoils, flap parameters, and loading scenarios. Details of the design, fabrication, and testing of the trailing-edge flap are presented.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".