The Integrated Multi-Objective Multi-Disciplinary Jet Engine Design Optimization Program

Abstract

The integrated multi-objective multi-disciplinary jet engine design optimization program is an analysis tool to aid engineers in the conceptual engine design process. The program allows performance evaluation of a specified engine or a specified aircraft/engine combination at given operating conditions or over a given mission. In addition, the program allows the selection of values for specified engine parameters that yield the best composite performance at one or more operating conditions or over a given mission. Finally, the program utilizes multi-objective optimization techniques to simultaneously address conflicting objectives such as maximizing performance and minimizing fuel use, size, and cost. This report is primarily a software use's guide to provide instruction on using the Integrated Multi-Objective Multi-Disciplinary Jet Engine Design Optimization Program. The genetic algorithm routines used in the program are based on an existing public domain package. The aircraft design program is based on a AIAA sponsored code. The engine performance program is a proprietary DoD limited code.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1999
Accession Number
ADA372032

Entities

People

  • Nicholas J. Kuprowicz

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Aircrafts
  • Algorithms
  • Computer Programming
  • Computer Programs
  • Computers
  • Engines
  • Genetic Algorithms
  • Graphical User Interface
  • Instructions
  • Jet Engines
  • Mach Number
  • Multiobjective Optimization
  • Operating Systems
  • Optimization
  • Turbines
  • User Interface

Fields of Study

  • Engineering

Readers

  • Aerospace Engineering
  • Computer Science.
  • Distributed Systems and Data Platform Development

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Biotechnology