Title :
Development of Aircraft Conceptual Design Optimization Software
Author :
Neufeld, Daniel ; Chung, Joon
Author_Institution :
Ryerson Univ., Toronto
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;
Conference_Titel :
Computational Science and its Applications, 2007. ICCSA 2007. International Conference on
Conference_Location :
Kuala Lampur
Print_ISBN :
978-0-7695-2945-5
DOI :
10.1109/ICCSA.2007.18
