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Design, Analysis and Multi-Objective Constrained Optimization of Multi-Winglets

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

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Design, Analysis and Multi-Objective Constrained Optimization of Multi-Winglets

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  1. 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 • Coefficients of lift, drag and moment and lift-to-drag ratio are four objective functions • ModeFRONTIER software chosen as the optimization environment CAD Design of Candidate Winglets • Background • High 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 • Governing Navier-Stokes Equations Team Members Abraham NeissShanae Powell Sohail Reddy Advisor: Prof. George S. Dulikravich • 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

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