Aerodynamic Shape Optimization of a Missile Using a Multiobjective Genetic Algorithm

Abstract

The aim of this paper is to demonstrate the effects of the shape optimization on the missile performance at supersonic speeds. The N1G missile model shape variation, which decreased its aerodynamic drag and increased its aerodynamic lift at supersonic flow under determined constraints, was numerically investigated. Missile geometry was selected from a literature study for optimization in terms of aerodynamics. Missile aerodynamic coefficient prediction was performed to verify and compare with existing experimental results at supersonic Mach numbers using SST k-omega, realizable k-epsilon, and Spalart-Allmaras turbulence models. In the optimization process, the missile body and fin design parameters need to be estimated to design optimum missile geometry. Lift and drag coefficients were considered objective function. Input and output parameters were collected to obtain design points. Multiobjective Genetic Algorithm (MOGA) was used to optimize missile geometry. The front part of the body, the main body, and tailfins were improved to find an optimum missile model at supersonic speeds. The optimization results showed that a lift-to-drag coefficient ratio, which determines the performance of a missile, was improved about 11-17 percent at supersonic Mach numbers.

A Parametric Design Method for Hybrid Airfoils for Icing Wind Tunnel Test

“…Seven control points and fourteen design variables are used to form a hybrid airfoil profile. Thus, the profile of hybrid airfoil has more degrees of freedom [20]. At first, the leading edge of the full-scale airfoil is taken as the hybrid airfoil's leading edge and connected with an arbitrary aft section.…”

Dört Rotorlu İHA Pervanesinde Uçuş Hızı ve Dönme Hızının İtme Katsayısı Üzerine Etkilerinin Sayısal Araştırılması

“…In order to obtain thrust and power coefficients, there are analytical, experimental or numerical methods applied in the literature. Today, as a numerical method, Computational Fluid Dynamics (CFD) applications come to the fore, which helps to obtain aerodynamic investigation results of complex geometries in a short time [7]. In the literature, there exist various studies including CFD investigation on multi-rotor UAV propeller aerodynamic performance parameters.…”

Nonlinear Unsteady Aerodynamics Reduced Order Model of Airfoils Based on Algorithm Fusion and Multifidelity Framework

“…In conclusion, the multifidelity model can obtain high-fidelity results with less cost. Multifidelity methods have been used in many fields, such as mechanism analysis, optimization design [29][30][31], statistical inference, and uncertainty quantification [32]. In the field of fluid dynamics, some scholars have applied the multifidelity method to flapping wing dynamics analysis [33,34], aerodynamic optimization [35][36][37][38], flight simulation [28,39,40], hypersonic aerodynamic load prediction [41], low-fidelity turbulence model correction [42,43], and uncertainty quantification of fluid dynamics system [44][45][46][47].…”