Aerodynamic Shape Design Optimization of Winglets

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Presentation transcript:

Aerodynamic Shape Design Optimization of Winglets Gianluca Minnella Yuniesky Rodriguez Jose Ugas

Problem Statement Design, construction and testing of an optimal winglet configuration. Dr. George Dulikravich

Winglets De-strengthening of tip vortices Additional positive-traction component INCREASED FUEL EFFICIENCY

Winglets INCREASED PAYLOAD CAPABILITIES Improved load distribution over wing-span

Conceptual design: Blended Winglet Wingtip Fence Blended Elliptical Winglet

Design Procedure Attainment of modified-desired Cp distribution: CFD Inverse shape design: MGM Fourier Series Optimization: Particle Swarm Algorithm Removal of interferences: CFD Manufacturing: High p-plastics, Metal-Alloy Testing: Surface p-distribution at varying angles of attack

Favorable p-distribution CFD – surface p-distribution Theory of Flow Separation – flow separation point will be moved toward Trailing Edge DESIRED PRESSURE DISTRIBUTION

Inverse Shape Design Airfoil will be designed specifically for chosen flow. Only Cp data is needed to generate airfoil.

Fourier Series Adaptation of MGM Elastic membrane. Mass-damper- spring system. Fourier Adaptation Faster conversion. Iterations- until desired pressure distribution is met.

Inverse Shape Design Animation

Optimization Algorithm Increase design quality Minimize time and computer costs Particle-Swarm Yi updated from Yi & YS Xi knows Yi @ Vi S = {Xi} with i=1,2,3…n

Particle-Swarm Yi is compared to its actual performance and set to a better performance. (7.2) The general best solution is updated to the position with the best performance within the swarm. (7.3) Now the particles velocity and position are updated separately for each dimension j. (7.4, 7.5)

Optimization Construct a FORTRAN code interconnected to AnSys to obtain OPTIMAL SHAPE

Manufacturing 2 Alternatives : DEEP DRAWN – 2 half shells, Laser Weld, AISI 304 CAST – Metal Alloy, Hi-p plastics Both alternatives require the commission of molding/casting tools

Testing: Surface Pressure Distribution Flow Separation Point

Timeline

Division of Responsibilites Gianluca Computational Analysis Manufacturing Jose Inverse Shape Design Yuniesky Optimization

Conclusion Thanks to winglets, aircrafts will be able to: Consume less fuel Extend range capabilities Reduce takeoff distance Reduce noise emissions Increase payload Increase Aerodynamic efficiency Increase L/D Ratio Working with 2-D version of Fourier Adaptation, to follow up with 3-D version.