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Aerodynamic Optimization of a Supersonic Bending Body Projectile by a Vector-Evaluated Genetic Algorithm

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Technical Report,01 Jun 2016,30 Jun 2016

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Academy of Applied Science Concord United States

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Computational fluid dynamics CFD and evolutionary programming were used to start the process of finding the optimal geometries of a bending body variation of the US Air Force Finner-- a 30-mm-diameter, 300-mm-long, fin-stabilized projectile for a range of angles of attack at 3 supersonic Mach numbers. Three analysis tools were evaluated for simulating aerodynamic coefficients associated with the configurations to be optimized CFD by Metacomp Technologies, SOLIDWORKS Flow Simulation, and Missile Datcom. The analysis tool chosen for this research was CFD. The configurations were optimized for control authority and drag considerations at each angle of attack and Mach number using a genetic algorithm. The optimization search space is composed of 3 control parameters the angular deflection of the nose cone, the angular deflection of the body, and the location of the body angular deflection. A vector-evaluated genetic algorithm was written to guide generations of configurations toward the optimal configuration for a given angle of attack and Mach number using the aerodynamic coefficients obtained from the CFD simulations completed on the previous generation of configurations.

Subject Categories:

  • Ammunition and Explosives
  • Fluid Mechanics
  • Operations Research

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