Design of a Variable Camber Morphing Winglet with Composite Lamination Structural Analysis and Failure Analysis – Application to the UAS-S45
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Bibliographic record
Abstract
View Video Presentation: https://doi.org/10.2514/6.2023-1584.vid The purpose of this study is to design a variable camber morphing winglet with a composite laminate structure for the UAS-S45. The camber morphing winglet will be designed using a honeybee-inspired abdomen structure for the deformation mechanism. It was found that the morphing winglet could improve wing aerodynamic efficiency compared to its reference geometry. The leading edge and trailing edge deflections of the proposed morphing winglet design were generated by the bending and flexing motion mechanism represented by a honeybee abdomen and a flexible wing skin. The controlled winglet deformation was achieved by linear servos that stretched and retracted the flexible mechanism. The morphing winglet was controlled by three servos. The kinematic working mechanism will be presented in the study. The stress analysis is also performed on composite laminates winglet under various loads, used as pre-analysis data. A laminate with a stacking sequence of [0/90/±45/90/0] s was calculated in detail using the Classical Lamination Theory (CLT). The analysis consisted in the comparison of two materials, carbon epoxy and Glass Fibre Reinforced Plastics (GFRP). Ansys ACP was used to model the geometry, while Ansys Mechanical was utilized to model the loading cases and to perform the stress analysis to confirm the results. A demonstrative mechanism for morphing winglet was manufactured of thermoplastic polylactic acid (PLA), and its deformations were measured. The structural optimization analysis results will be presented, and investigated, therefore the optimization will result in a better orientation of composite lay-up and will minimize the morphing winglet weight.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| 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 it