• DocumentCode
    3387242
  • Title

    Development of Aircraft Conceptual Design Optimization Software

  • Author

    Neufeld, Daniel ; Chung, Joon

  • Author_Institution
    Ryerson Univ., Toronto
  • fYear
    2007
  • fDate
    26-29 Aug. 2007
  • Firstpage
    313
  • Lastpage
    317
  • Abstract
    This paper describes the development of computer software designed to assist in the process of conceptual air- crap design. A Multi-Objective Genetic Algorithm (MOGA) optimizer and an aircraft performance simulation package was developed and integrated with an aircraft component database to produce useful suggestions to aircraft designers during the conceptual design phase. The results include the conceptual design of two types of aircraft; a Very Light Jet (VU) and an Unmanned Aerial Vehicle (UAV).
  • Keywords
    CAD; aircraft; remotely operated vehicles; aircraft conceptual design optimization software; multi-objective genetic algorithm; unmanned aerial vehicle; Aircraft propulsion; Algorithm design and analysis; Automotive components; Design optimization; Engines; Fuels; Geometry; Software design; Software libraries; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and its Applications, 2007. ICCSA 2007. International Conference on
  • Conference_Location
    Kuala Lampur
  • Print_ISBN
    978-0-7695-2945-5
  • Type

    conf

  • DOI
    10.1109/ICCSA.2007.18
  • Filename
    4301161