Aerodynamic Optimization of an Over‐the‐Wing‐Nacelle‐Mount Configuration

Abstract

An over-the-wing-nacelle-mount airplane configuration is known to prevent the noise propagation from jet engines toward ground. However, the configuration is assumed to have low aerodynamic efficiency due to the aerodynamic interference effect between a wing and a nacelle. In this paper, aerodynamic design optimization is conducted to improve aerodynamic efficiency to be equivalent to conventional under-the-wing-nacelle-mount configuration. The nacelle and wing geometry are modified to achieve high lift-to-drag ratio, and the optimal geometry is compared with a conventional configuration. Pylon shape is also modified to reduce aerodynamic interference effect. The final wing-fuselage-nacelle model is compared with the DLR F6 model to discuss the potential of Over-the-Wing-Nacelle-Mount geometry for an environmental-friendly future aircraft.

Estimation of the aerodynamic characteristics of a stepped nacelle for the aircraft powerplant

“…An important direction in solving the task on reducing the drag of a nacelle is the research tackling the optimization of nacelle location with respect to the fuselage, wing, and pylon [6,7]. Results from optimizing the shape and location of a nacelle are reported in paper [6].…”

“…The objective function of optimization was to reduce drag. Work [7] emphasized decreasing an acoustic radiation. However, the studies described in [6,7] were performed using a numerical experiment method.…”

Cartesian Mesh Linearized Euler Equations Solver for Aeroacoustic Problems around Full Aircraft

“…The noise propagation around a fuselage-wing-nacelle configuration is computed as a realistic example. The focus of the example was that of the OWN configuration [38], where the engine nacelle is mounted over the main wing, which serves as one of the configurations designed to achieve substantial airport noise reduction. The main feature of this configuration is that the main wing serves as a shield between the ground and the noise generated by the engine.…”

Machine Learning in Aerodynamic Shape Optimization

“…Coupled with computational fluid dynamics (CFD), ASO is positioned to be an essential procedure in modern aircraft design. Aided by powerful high-performance computing (HPC) resources, CFD-based ASO has been applied to design of wings [1][2][3][4], tails [5][6][7][8][9], engine nacelles [10][11][12][13][14], and other components [15][16][17][18][19]. These applications significantly reduces the aircraft development's cycle time and improves the design's performance.…”