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Page 1: Design, Analysis and Multi-Objective  Constrained Optimization of Multi-Winglets

Simultaneous ObjectivesDesign Winglets to:Reduce drag

Increase 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 vortices

Vortices => 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 method

Coefficients of lift, drag and moment and lift-to-drag ratio are four objective functions

ModeFRONTIER 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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