1. Aerodynamic Optimization of a Flying V Aircraft using a Vortex Lattice Method
- Author
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Granata, Francesco (author) and Granata, Francesco (author)
- Abstract
To address the environmental impact of air travel, the industry has introduced various solutions, including sustainable fuels and new aircraft configurations. The Flying V is one such concept that promises a 20% reduction in fuel consumption compared to its most advanced competitor. Unlike traditional commercial airplanes, the Flying V is a tailless flying-wing design without a tubular fuselage, horizontal, and vertical tailplane, using elevons and winglets featuring rudders for control. This study aimed to optimize the wing geometry of the Flying V aircraft to minimize induced drag under specific subsonic conditions (M = 0.6) and a given lift coefficient of 0.26. The approach combined a Vortex Lattice Method (VLM) with an optimization algorithm, specifically using the Athena Vortex Lattice (AVL) software for aerodynamics calculations. A low-fidelity method, such as a VLM, allows a faster and deeper exploration of the design space than a high-fidelity method like Computational Fluid Dynamics (CFD). To improve the Flying V's design, a simpler parameterization was introduced to represent the complex model of the Outer Mold Line (OML) of the aircraft. It involved eight sections along half the wingspan. The inboard wing sections were parameterized in a wire-frame style, with the front part representing the location of the passengers' cabin, requiring fixed dimensions and inclination to accommodate a suitable cabin floor, and the aft part allowed to be rotated. The other sections' geometry was mainly described by the total inclination angle. The design vector included the aft angles of the first three sections, the total incidence angle of the last four sections, and the dihedral of the outboard wing, which is useful to ensure a straight hinge line for control power. A total of 8 design variables were utilized during the optimization process. Two aerodynamic constraints were implemented to ensure feasible optimized results. The first constraint was related to th, Aerospace Engineering | Flight Performance and Propulsion
- Published
- 2023