Title of article :
CFD Simulations and External Shape Optimization of Missile with Wing and Tailfin Configuration to Improve Aerodynamic Performance
Author/Authors :
Şumnu, A Department of Aerospace Engineering - İskenderun Technical University - Hatay - 31200 - Turkey , Güzelbey, İ. H Department of Mechanical Engineering - Hasan Kalyoncu University - Ankara - 27620 - Turkey
Abstract :
The wing of missile can be considered as an effective factor for determination of lift to drag ratio. However, there are few studies that investigate wing effect on missile aerodynamics. Therefore, the purpose of this study is to indicate wing effect on the missile aerodynamics and optimize wing geometry for enhancement of aerodynamic efficiency. The missile designed tail-fin configuration is selected from a previous study which contains experimental data. In the beginning of study, Computational Fluid Dynamics (CFD) simulations of selected missile are performed and compared with experimental data. Wing is then mounted to the selected
missile and CFD solution is repeated for modified missile at 6º angle of attach (AoA) and subsonic and
supersonic speeds. The modified missile shows good performance in point of aerodynamics when compared
with baseline missile model. In addition, wing geometry is optimized to improve aerodynamic performance
using Multi-Objective Genetic Algorithm (MOGA). Objective functions are determined as lift and drag
coefficients. Wing geometry parameters are determined as design variables for optimization. After the
optimization process, the results are showed that the aerodynamic coefficients are improved when compared
with baseline geometry. In addition, response surface analysis is presented to show which design parameters
are more effective on drag and lift forces. The findings of study show that optimum results are more efficient in terms of performance. CFD solution method and the optimization procedure can be applied to design or optimize for different geometry.
Keywords :
Missile aerodynamics , Genetic algorithm , Multi-objective optimization
Journal title :
Journal of Applied Fluid Mechanics (JAFM)