Aerodynamic Design Optimization of Long-Range Projectiles Using Missile DATCOM

Abstract

The goal of this study was to utilize a quick and robust semi-empirical aerodynamics prediction code (Missile DATCOM) to optimize and improve understanding of the flight performance for long-range guided projectiles. Multiple optimal designs were found based on flow regime (i.e., subsonic or supersonic), projectile geometry (i.e., diameter, length-to-diameter, and ogive length), and control configuration (e.g., Body-Fin). A weighted multi-objective Particle Swarm Optimization algorithm was implemented to find the control surface sizing that maximized the lift-to-drag, minimized drag, and met a static margin value for the vehicle at a given body angle of attack. An inviscid computational fluid dynamics solver (i.e., Cart3D) was applied to the optimal configurations and combined with the semi-empirical predictions in a formal manner to improve the accuracy of the aerodynamic model and coefficients. These aerodynamics underpin both 3 and 6 degree-of-freedom simulations to evaluate flight performance. The results from the higher fidelity aerodynamic simulations showed good agreement with the semi-empirical aerodynamic predictions. Outputs of the optimization routine along with the comprehensive flight characterization indicated that the optimization approach is an efficient tool for producing favorable long-range gliding projectiles.

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Document Details

Document Type
Technical Report
Publication Date
Apr 10, 2020
Accession Number
AD1096548

Entities

People

  • Frank E. Fresconi
  • Joseph D. Vasile
  • Joshua T. Bryson

Organizations

  • United States Army Combat Capabilities Development Command

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Aerodynamic Characteristics
  • Aerodynamic Forces
  • Algorithms
  • Computational Fluid Dynamics
  • Control Surfaces
  • Department Of Defense
  • Diameters
  • Fluid Dynamics
  • Geometry
  • Guided Projectiles
  • Mach Number
  • Particle Swarm Optimization
  • Projectiles
  • Reliability
  • Simulations
  • Swarm Intelligence

Fields of Study

  • Physics

Readers

  • Aerodynamics/Aeronautics.
  • Computational Modeling and Simulation
  • Operations Research

Technology Areas

  • Hypersonics