Optimization of flatback airfoils for wind turbine blades using a genetic algorithm with an artificial neural network

48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

Volumn , Issue , 2010, Pages

  Chen, Xiaomin ^a   Agarwal, Ramesh ^a  

^a WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIRFOILS; COMPUTATIONAL EFFICIENCY; DRAG; GENETIC ALGORITHMS; LIFT DRAG RATIO; NAVIER STOKES EQUATIONS; NEURAL NETWORKS; SHAPE OPTIMIZATION; TURBOMACHINE BLADES; TURBULENCE MODELS; WIND TURBINES;

AERO-DYNAMIC PERFORMANCE; AIRFOIL SECTION; LARGE WIND TURBINES; LIFT TO DRAG RATIO; OPTIMIZATION TECHNIQUES; REYNOLDS AVERAGED NAVIER STOKES (RANS)EQUATIONS; SOFTWARE FLUENT; WIND TURBINE BLADES;

TURBINE COMPONENTS;

EID: 78649848439     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2514/6.2010-1423     Document Type: Conference Paper

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