Aerodynamic shape optimization of a near-sonic passenger plane using computational fluid dynamics

Abstract

In this article, aerodynamic optimization of a near-sonic passenger plane was conducted, starting with a conventional tail configuration. The genetic algorithm (GA) combined with the Euler simulations were used to maximize the lift-to-drag ratio ( L/ D) at Mach 0.95. First, the wing planform shape, twist, and thickness ratios were optimized. As a result, information about the aerodynamic design parameters was obtained and the optimal individual was designed with high inboard sweep angle, long chord length at the root, and less outboard aerofoil thickness. Then, the point of junction was optimized by applying the optimized wing and fuselage. Through the optimization process, the incidence angles of the wing were reduced, and the shapes of the root leading edge were then sharpened to reduce the interference drag. By its aerodynamic performance, the optimized wing/body configuration showed the aerodynamic feasibility of near-sonic flight.