design, analysis and multi-objective constrained optimization of multi-winglets
DESCRIPTION
Design, Analysis and Multi-Objective Constrained Optimization of Multi-Winglets. Simultaneous Objectives Design Winglets to: Reduce drag Increase lift-to-drag ratio. Optimization Response surface methodology with genetic algorithm chosen as the optimization method - PowerPoint PPT PresentationTRANSCRIPT
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