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{"references": ["Oyama, A., \"Multidisciplinary Optimization of Transonic Wing Design\nBased On Evolutionary Algorithms Coupled With CFD Solver, in\nEuropean Congress on Computational Methods,\" European Congress on\nComputational Methods in Applied Sciences and Engineering. Barcelona,\npp. 1-17, September 2000.", "Gopalarathnam, A. and M.S. Selig, \"Low-Speed Natural-Laminar-Flow\nAirfoils: Case Study in Inverse Airfoil Design,\" Journal Of Aircraft, vol.\n38, 2001, pp. 57-63.", "Shahrokhi, A. and A. Jahangirian, \"Airfoil Shape Parameterization For\nOptimum Navier-Stokes Design With Genetic Algorithm,\" Aerospace\nScience and Technology, 2007, pp. 443-450.", "Oyamaa, A., S. Obayashi and T. Nakamurac, \"Real-coded Adaptive\nRange Genetic Algorithm Applied to Transonic Wing Optimization,\"\nApplied Soft Computing, 2001, pp. 179-187.", "Hicks, R. and P.A. Henne, \"Wing Design by Numerical Optimization,\"\nAIAA Aircraft Sysetems & Technology Meeting, Seattle,Washington, pp.\n1-7,1977.", "Kulfan, B.M., \"Universal Parametric Geometry Representation Method,\"\nJournal Of Aircraft, vol. 45, 2008, pp. 142-158.", "Derksen, A. R.W. and Rogalsky, B.T, \"Bezier-PARSEC: An Optimized\nAerofoil Parameterization for Design,\" Advances in Engineering\nSoftware, 2010, pp. 923-930.", "Pointwise, Iuc., Pointwise User Manual. 2010.", "Fluent, Inc., FLUENT 6.3 Documentation. 2006.\n[10] Dassault Syst\u00e8mes Simulia, Corp., Isigth 5.0 Design Gateway Online\nHelp. 2011."]}
A method of dynamic mesh based airfoil optimization is proposed according to the drawbacks of surrogate model based airfoil optimization. Programs are designed to achieve the dynamic mesh. Boundary condition is add by integrating commercial software Pointwise, meanwhile the CFD calculation is carried out by commercial software Fluent. The data exchange and communication between the software and programs referred above have been accomplished, and the whole optimization process is performed in iSIGHT platform. A simplified airfoil optimization study case is brought out to show that aerodynamic performances of airfoil have been significantly improved, even save massive repeat operations and increase the robustness and credibility of the optimization result. The case above proclaims that dynamic mesh based airfoil optimization is an effective and high efficient method.
dynamic mesh, genetic algorithm, CFD, airfoil optimization, unmanned air vehicles
dynamic mesh, genetic algorithm, CFD, airfoil optimization, unmanned air vehicles
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