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Optimization of compliant parts of a hybrid trailing edge control surface of a morphing unmanned aerial vehicle
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Date
2017
Author
Arslan, Pınar
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In this thesis, optimization studies are conducted for compliant parts of a hybrid trailing edge control surface of an unmanned aerial vehicle (UAV). The geometry of the control surface was taken from a previous study conducted in [1], and then regenerated parametrically through Design Modeler tool of ANSYS Workbench v15.0. The finite element model of the control surface is created by using ANSYS Workbench v15.0 Static Structural module. The optimization study of the compliant part is conducted by using Adaptive Multiple Objective method in Direct Optimization tool of ANSYS Design Exploration module. Two different control surface designs and four different hyperelastic materials for compliant parts are considered. The input parameters of the optimization are the dimensions of the compliant part of the control surface and the amount of actuations of the servo actuators. This optimization study is constrained by the limit torque of the servo actuators, the yield stress of the aluminum parts of the design and the minimum and maximum strain values for the compliant parts. The tip deflection of the control surface required to provide the desired wing profile is specified as the target. According to the specified inputs, constraints and the target, optimal control surface design is selected from among the results of the optimization analyses. Finally, the selected design is checked against aerodynamic loads calculated in a previous work [1].
Subject Keywords
Elastomers.
,
Drone aircraft.
,
Aerodynamics.
,
Finite element method.
,
Airplanes
,
Wing-warping (Aerodynamics).
URI
http://etd.lib.metu.edu.tr/upload/12620782/index.pdf
https://hdl.handle.net/11511/26268
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Graduate School of Natural and Applied Sciences, Thesis
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P. Arslan, “Optimization of compliant parts of a hybrid trailing edge control surface of a morphing unmanned aerial vehicle,” M.S. - Master of Science, Middle East Technical University, 2017.