AIAA Scitech 2019 Forum 2019
DOI: 10.2514/6.2019-1217
|View full text |Cite
|
Sign up to set email alerts
|

Aeroservoelastic Optimization of Morphing Airborne Wind Energy Wings

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
4
4

Relationship

2
6

Authors

Journals

citations
Cited by 9 publications
(6 citation statements)
references
References 34 publications
0
6
0
Order By: Relevance
“…The wing is made of composite material, and the trailing edges are able to morph and, by doing so, to increase or decrease the camber, thus replacing conventional ailerons. The reader is referred to the related previous works for details on the wing design [27] and its investigation with FSI tools [19].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The wing is made of composite material, and the trailing edges are able to morph and, by doing so, to increase or decrease the camber, thus replacing conventional ailerons. The reader is referred to the related previous works for details on the wing design [27] and its investigation with FSI tools [19].…”
Section: Resultsmentioning
confidence: 99%
“…The algorithms are tested on a high-fidelity, fluid-structure interaction (FSI) numerical model of an airborne wind energy (AWE) morphing wing. The FSI simulator is described in [18] and the wing was analyzed in detail in [19].…”
Section: Introductionmentioning
confidence: 99%
“…The flutter speed of the system was much higher than the maximum speed planned for the tests. Fasel et al [134] presented the numerical modeling and optimization of a camber morphing Airborne Wind Energy (AWE) aircraft. The work focused on modeling the reduced-order coupled flight dynamics and aeroelasticity of the aircraft using Matlab Simulink.…”
Section: Aeroelastic Stabilitymentioning
confidence: 99%
“…After experimental validation, it was determined that the FSI model tends to under-predict lift coefficients and trailing edge displacements, and they suggest that a mesh refinement in both FEM and CFD models may improve results. Finally, Fasel et al [31] also implements a 3D CFD and 3D FEM FSI analysis to model the aeroservoelasticity of a morphing airplane for energy harvesting.…”
Section: Cfd/fem-based Modelsmentioning
confidence: 99%