Airfoil design: Finding the balance between design lift and structural stiffness
نویسندگان
چکیده
منابع مشابه
Applying evolutionary optimization on the airfoil design
In this paper, lift and drag coefficients were numerically investigated using NUMECA software in a set of 4-digit NACA airfoils. Two metamodels based on the evolved group method of data handling (GMDH) type neural networks were then obtained for modeling both lift coefficient (CL) and drag coefficient (CD) with respect to the geometrical design parameters. After using such obtained polynomial n...
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A significant challenge to the application of evolutionary multiobjective optimization (EMO) for transonic airfoil design is the often excessive number of computational fluid dynamic (CFD) simulations required to ensure convergence. In this study, a multiobjective particle swarm optimization (MOPSO) framework is introduced, which incorporates designer preferences to provide further guidance in ...
متن کاملapplying evolutionary optimization on the airfoil design
in this paper, lift and drag coefficients were numerically investigated using numeca software in a set of 4-digit naca airfoils. two metamodels based on the evolved group method of data handling (gmdh) type neural networks were then obtained for modeling both lift coefficient (cl) and drag coefficient (cd) with respect to the geometrical design parameters. after using such obtained polynomial n...
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la a rather aeaeral sense, ia"erse airfoU desila caa be takea to meaa the problem of speclfyinl a desired set of airfoU characteristics, sudl as tbe airfoU maxima .. tblekaess ratio, pltchlal moment, part of tbe "e1oclty distributioa, or bouadary-layer develop_t. From tills laformatloa, the correspoadinl airfoU shape is determiaed. This paper presents a metbod tbat approacha tbe desiga problem ...
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ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2014
ISSN: 1742-6596
DOI: 10.1088/1742-6596/524/1/012017