27th Congress of International Council of the Aeronautical Sciences, 19 - 24 September 2010, Nice, France
Paper ICAS 2010-2.6.4

USER-PREFERENCE PARTICLE SWARM ALGORITHM FOR AIRFOIL DESIGN ARCHITECTURE

R. Carrese, H. Winarto, J. Watmuff
RMIT Univ., Australia

Keywords: airfoils, cfd, optimization, swarm intelligence, user-preferences

A mutating swarm algorithm is applied in sequence for efficient airfoil design at cruise and approach conditions. The airfoil is aerodynamically optimized at transonic cruise conditions. At approach, the high lift devices are optimally deployed to address environmental noise issues. The optimizer is capable of adapting to disparate design objectives.

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