Abstract
One of the challenges in Unmanned (Combat) Aerial Vehicles (UCAV) is the improvement of wing aerodynamic performance to increase endurance and lower fuel consumption. In addition, the stealth function is one of the essential requirements to complete diverse missions. Recent advances in design tools, materials, electronics and actuators have opened the door for implementation of transonic flow control technologies to improve aerodynamic efficiency. This paper explores the application of a robust Evolutionary Algorithm (EA) for aerofoil sections and wing planform design and optimisation for the improvement of aerodynamic performance and the reduction of Radar Cross Section (RCS). The method is based on a canonical evolution strategy and incorporates the concepts of hierarchical topology, parallel computing and asynchronous evaluation. Results obtained from the optimisation show that utilising the designing transonic wing aerofoil sections and planform in combination with Evolutionary techniques improve the aerodynamic efficiency and this produced a set of shock-free aerofoils and achieved the supercritical aero-diamond wings. Results also indicate that the method is efficient and produces optimal and non-dominated solutions.
Original language | English |
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Title of host publication | 24th AIAA Applied Aerodynamics Conference, Fluid Dynamics and Co-located Conferences |
Place of Publication | Reston, VA |
Publisher | American Institute of Aeronautics and Astronautics |
Pages | 1358-1378 |
Number of pages | 21 |
Volume | 2 |
ISBN (Print) | 1563478129, 9781563478123 |
DOIs | |
Publication status | Published - 2006 |
Event | 24th AIAA Applied Aerodynamics Conference - San Francisco, CA, United States Duration: 5 Jun 2006 → 8 Jun 2006 |
Other
Other | 24th AIAA Applied Aerodynamics Conference |
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Country/Territory | United States |
City | San Francisco, CA |
Period | 5/06/06 → 8/06/06 |