design, analysis and multi-objective constrained optimization of multi-winglets
Post on 23-Feb-2016
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Simultaneous ObjectivesDesign Winglets to:Reduce dragIncrease lift-to-drag ratio
Overall Design Method 3D geometry modeling using E300 Code 3D computational grid generation in
OpenFOAM Compressible turbulent flow analysis in
OpenFOAM Multi-objective optimization in
modeFrontier Design validation through wind tunnel
testing
BackgroundHigh pressure from the lower side of a wing leaks around the wingtips to the upper side, creating tip vorticesVortices => Induced Drag => More Fuel Consumption Timeline
Design, Analysis and Multi-Objective Constrained Optimization of Multi-Winglets
OptimizationResponse surface methodology with genetic algorithm chosen as the optimization methodCoefficients of lift, drag and moment and lift-to-drag ratio are four objective functionsModeFRONTIER software chosen as the optimization environment
Team Members
Abraham Neiss Shanae Powell Sohail Reddy
Advisor: Prof. George S. Dulikravich
Governing Navier-Stokes Equations
CAD Design of Candidate Winglets
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