Evaluation of the impact of morphing horizontal tail design of the UAS-S45 performances
Bibliographic record
Abstract
owadays, increasingly sensitive to the global warming, the aerospace industry is committed to reduce its toxic gas emissions.To take a part in this global effort, a morphing study on the horizontal tail of an Unmanned Aerial System (UAS) is here presented.This type of morphing consists in changing the shape of the horizontal tail wing during the flight in order to improve aircraft aerodynamical characteristics.The geometry of the horizontal tail was changed as function of 3 parameters: the dihedral (from -80 degrees to +80 degrees), the sweep (from -80 degrees to +80 degrees) or the twist angles (from -50 degrees to 50 degrees).To measure the impact of these types of changes on the horizontal tail, an aerodynamic study was performed using the Vortex-Lattice Method (VLM) implemented in OpenVSP software (distributed by NASA).The methodology consists, in the first place, to develop a reference model that can reproduce the aerodynamic behavior of the reference aircraft with its horizontal tail.Then, morphing models were developed based on the reference model, in which different dihedral, sweep or twist angles were changed for its horizontal tail.Finally, a model able to trim the UAS-S45 for static cruise conditions was used to compute the thrust force required to balance the aircraft for each case (original and morphing).A gain of 6% of thrust has been obtained when the aircraft was trimmed using twist angle instead of elevators deflection.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".