Inlet/Body Integration Preliminary Design for Supersonic Air-Breathing Missiles Using Automated Multi-Discilinary Optimization

Abstract

In order to reduce the design cycle time and cost and to improve the multi-disciplinary interactions at the preliminary design stage of supersonic air-breathing missiles, an automated optimization method has been developed for inlet/body integration in a concurrent engineering environment. Three disciplines of higher relevance have been considered for the shape optimization problem: propulsion, aerodynamics and electromagnetics. This paper describes the numerical method, which incorporates a genetic algorithm and three analysis modules into the optimization loop. The parametric model of the generic missile is presented. The optimization problem is defined and solved for a given mission and set of specifications. The problem is addressed in three phases corresponding to an increasing number of concurrent disciplines. This progression enables to emphasize the conflicting goals between the disciplines and to understand how the optimizer yields the best compromises. This preliminary study shows interesting results and strong potential for future development and industrial applications.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2000
Accession Number
ADP010526

Entities

People

  • Doyle Knight
  • Eric Vives
  • Yan Kergaravat

Tags

DTIC Thesaurus Topics

  • Air Breathing
  • Artificial Intelligence
  • Computational Science
  • Computer Science
  • Diffusers
  • Engineering
  • Genetic Algorithms
  • Heat Transfer
  • Optimization
  • Radar Signatures
  • Ramjet Engines
  • Reliability
  • Shape
  • Supersonic Combustion Ramjet Engines
  • Test And Evaluation
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Fluid Dynamics (CFD)
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms
  • Biotechnology
  • Hypersonics