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Optimization of flatback airfoils for wind turbine blades
Aircraft Engineering and Aerospace Technology, 2010PurposeIn recent years, the airfoil sections with blunt trailing edge (called flatback airfoils) have been proposed for the inboard regions of large wind‐turbine blades because they provide several structural and aerodynamic performance advantages. The purpose of this paper is to optimize the shape of these airfoils for optimal performance using a ...
Xiaomin Chen, Ramesh Agarwal
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Airfoil Topology Optimization using Teaching-Learning based Optimization
International Journal of Applied Metaheuristic Computing, 2015This paper primarily deals with the optimization of airfoil topology using teaching-learning based optimization, a recently proposed heuristic technique, investigating performance in comparison to Genetic Algorithm and Particle Swarm Optimization. Airfoil parametrization and co-ordinate manipulations are accomplished using piecewise b-spline curves ...
Dushhyanth Rajaram +2 more
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Journal of Thermal Science, 2015
A new airfoil shape parameterization method is developed, which extended the Bezier curve to the generalized form with adjustable shape parameters. The local control parameters at airfoil leading and trailing edge regions are enhanced, where have significant effect on the aerodynamic performance of wind turbine.
Yixiong Liu, Ce Yang, Xiancheng Song
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A new airfoil shape parameterization method is developed, which extended the Bezier curve to the generalized form with adjustable shape parameters. The local control parameters at airfoil leading and trailing edge regions are enhanced, where have significant effect on the aerodynamic performance of wind turbine.
Yixiong Liu, Ce Yang, Xiancheng Song
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Self-organizing Maps for Pareto Optimization of Airfoils
2002This work introduces a new recombination and a new mutation operator for an accelerated evolutionary algorithm in the context of Pareto optimization. Both operators are based on a self-organizing map, which is actively learning from the evolution in order to adapt the mutation step size and improve convergence speed. Standard selection operators can be
Dirk Büche +3 more
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Deep neural network for airfoil optimization
AIAA SCITECH 2022 Forum, 2022Wenhui Peng, Yao Zhang, Michel Desmarais
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Optimization of Multi-Element Airfoils
1981Abstract : A review of techniques aimed at maximizing C1/Cd and C1 for multi- element airfoils showed the need for more exhaustive testing of possible configurations of flap deflection, slot geometry and airfoil angle of attack. For a typical 4-element airfoil, the number of possible configurations can easily be in the billions.
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Direct Optimization of Transonic Airfoils
1997The paper reports on the numerical procedure for the optimization of transonic airfoils developed in ALN D.V.D. within BRITE/EURAM AERO-0026 contract. Results for the solution of test case T6 of the workshop are presented.
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Shape optimization of an airfoil in the presence of compressible and viscous flows
Computational Optimization and Applications, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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