Module Discretization and Consolidation of a Modular Morphing Wing
Abstract
A morphing wing is designed to morph to different wing profiles required for different flight regimes. Such a design is based on modules, and discretization of different wing profiles will yield different sets of modules. In... [ view full abstract ]
A morphing wing is designed to morph to different wing profiles required for different flight regimes. Such a design is based on modules, and discretization of different wing profiles will yield different sets of modules. In this paper, a novel wing module consolidation methodology is developed to consolidate different sets of modules to a common set of modules for a unified modular morphing wing design. Initial wing profiles are created for different flight regimes using an optimization algorithm coupled with a fluid solver. These wing profiles are then smoothened, and used as reference geometries for module discretization. The results of discretized wings are then consolidated using a sensitivity analysis and a weighting function that allows the designer to assign a higher priority to a specific flight regime. A case study, showing the implementation of this methodology for climb, cruise and descent flight regimes, reveals that the consolidated wing can be morphed to approximate the original wing profiles within reasonable errors. In climb, maximizing the inverse of drag as a performance index showed a 5.4% decrease by obtaining higher drag values. In cruise, maximizing lift to drag ratio as a performance index, showed a 2.9% increase. Finally, in descent, maximizing CL3/2/CD as a performance index showed a 1.6% decrease.
Authors
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Ryan Perera
(Ryerson University)
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Prakash Paudel
(Ryerson University)
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John Kamel
(Ryerson University)
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Fengfeng Xi
(Ryerson University)
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Paul Walsh
(Ryerson University)
Topic Areas
Topics: Aerodynamics of airfoils, wings, wing/fuselage interactions, nacelles, etc., inclu , Topics: Computational Fluid Dynamics as applied to any of the above, including surface mod
Session
AERO3 » Multidisciplinary Design Optimization 3 (10:30am - Wednesday, 20th May, Room Hochelaga 2)