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Published byAdelia Barker Modified over 9 years ago
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Airfoil Design for a Helicopter rotor blade Oct. 2002 Han Gil Chae
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Overview Introduction Aerodynamic Characteristics of a Rotor Blade Design Strategies Design Procedures Survey Optimization Methods Analysis Tools Flow Solvers Optimization Code Conclusions
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Introduction Aerodynamic Characteristics of a Rotor Blade
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When Rotation Meets Translation... An airfoil section meets different speed of air Periodically. Angle of attack changes Periodically. tw = -8 deg, = 0.25 Angle of attack Point design may not be optimum.
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Design Strategies Design Procedure Survey Optimization Methods
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Point Design : Airfoil from Cp Find an airfoil which meets given Cp distribution May satisfy all the characteristics we want Difficult to get the optimum Cp distribution
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Point Design : Airfoil from Cl, Cd Find an airfoil which gives the best Cl/Cd characteristics Easier than Cp Possible worse performance at off-design points May cause uneven surface Single pointMulti points
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Robust Design : Design for uncertainties Probability of change in design point is considered Better way for rotor blade airfoil Still dealing with static characteristics Single point Robust
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Dynamic Design : Near to the reality The Best way for rotor blade airfoil Requires an unsteady solver Requires tremendous time Dynamic characteristics are considered
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Optimization Methods Restricted to design with Cp MGM Numerical RSM Suitable for most applications May cause unexpected results Suitable for time consuming codes Limited design range
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Analysis Tools Flow Solvers Optimization Codes
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Analysis Tools in Hand Panel XFOIL Pablo S2d Subsonic Steady Potential Panel N/S Potential Subsonic Inviscid Steady Inviscid Fortran Matlab Fortran CodeMethodRestrictionLanguage
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Analysis Tools : Validation CLCDCM CL/CD XFOIL gives reasonable solution in seconds NACA 0015, M=0.29, Re=1.59e6
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Analysis Tools : Validation Cp Distribution Most of codes generate good solutions NACA 0012, M=0.72, a=0 degNACA 0012, M=0.63, a=2 deg
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Optimization : Procedure Calculate Derivatives Call XFOIL Find Steepest Direction Calculate Object function Call XFOIL Compare for Minimum Modify Airfoil Shape Steepest Ascent Method
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Optimization : Shape functions Polynomial functions Hicks-Henne functions
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Optimization : Valication Symmetric Airfoil (NACA 64-015) Polynomial Hicks-Henne
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Optimization : Valication Cambered Airfoil (NACA 64110) Polynomial Hicks-Henne
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Conclusions What was done Further study
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What was done Design method survey - Robust design method were selected Analysis tool survey - XFOIL were selected Optimization method - Steepest Ascent Validation XFOIL gives reasonable results Hicks-Henne Shape function gives better results
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Further Study Basic sizing for reasonable M, Re and a Random number generation for robust design Modification of shape functions for T.E Modification of optimization code
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Questions ? Thank you
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