Interior Ballistics Optimization

Abstract

This research develops a general method that combines optimization methods and an interior ballistics model to automate the design process for propellant grains. It is a multi-variable constrained optimization problem. The augmented Lagrange multiplier method is used to control the constrained problem while two zero-order methods (Powell's and Hooke-Jeeves) perform the unconstrained minimization. The interior ballistics model IBRGAC, developed at the Interior Ballistics Laboratory, Aberdeen Proving Grounds, Maryland, is used as the objective cost function. To validate the process a representative 120mm tank gun system is used with four propellant combinations. The examples demonstrate that the scheme works and can be used as an effective design tool.

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Document Details

Document Type
Technical Report
Publication Date
Jun 05, 1990
Accession Number
ADA225791

Entities

People

  • Joe R. Gonzalez Jr.

Organizations

  • Kansas State University

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Resistance
  • Artificial Intelligence
  • Ballistics
  • Base Pressure
  • Burning Rate
  • Combustion
  • Differential Equations
  • Engineering
  • Fire Control Systems
  • Guns
  • Heat Transfer
  • Heat Transfer Coefficients
  • Interior Ballistics
  • Kinetic Energy Projectiles
  • Mechanical Engineering
  • Tank Guns
  • Thermodynamic Properties

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Approximation Theory.
  • ballistics.