Commenced in January 2007
Paper Count: 31100
Aerodynamics and Optimization of Airfoil Under Ground Effect
Abstract:The Prediction of aerodynamic characteristics and shape optimization of airfoil under the ground effect have been carried out by integration of computational fluid dynamics and the multiobjective Pareto-based genetic algorithm. The main flow characteristics around an airfoil of WIG craft are lift force, lift-to-drag ratio and static height stability (H.S). However, they show a strong trade-off phenomenon so that it is not easy to satisfy the design requirements simultaneously. This difficulty can be resolved by the optimal design. The above mentioned three characteristics are chosen as the objective functions and NACA0015 airfoil is considered as a baseline model in the present study. The profile of airfoil is constructed by Bezier curves with fourteen control points and these control points are adopted as the design variables. For multi-objective optimization problems, the optimal solutions are not unique but a set of non-dominated optima and they are called Pareto frontiers or Pareto sets. As the results of optimization, forty numbers of non- dominated Pareto optima can be obtained at thirty evolutions.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1059831Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2830
 Rozhdestvensky KV. Wing-in-ground effect vehicles. Progress in Aerospace Sciences 2006; 42: 211-283.
 Kikuchi K, Motoe F, Yanagizawa M. Numerical Simulation of the Ground Effect Using the Boundary Element Method. International Journal For Numerical Methods in Fluids 1997; 25: 1043-1056.
 Joh CY, Kim YJ. Computational Aerodynamic Analysis of Airfoils for WIG (Airfoil-In-Ground-Effect)-Craft. Journal of the Korean Society for Aeronautical and Space Sciences 2004; 32 (8): 37-46.
 Kim YJ, Joh CY. Aerodynamic Design Optimization of Airfoils for WIG Craft Using Response Surface Method. Journal of the Korean Society for Aeronautical and Space Sciences 2004; 33 (5): 18-27.
 Im YH, Chang KS. Flow Analysis of a Three-Dimensional Airfoil in Ground Effect. Journal of the Korean Society for Aeronautical and Space Sciences 2000; 29 (5): 1-8.
 Kim HJ, Chun HH. Design of 2-Dimensional WIG Section by a Nonlinear Optimization Method. J. of the Society of Naval Architects of Korea 1998; 35 (3): 50-59.
 Yakhot V., Orszag SA., Thangam S., Gatski TB, Spezoale CG. Development of Turbulent Models for Shear Flows by a Double Expansion Technique. Physics Fluids A 1992; 4 (7): 1510-1520.
 STAR-CD v3.15 Methodology. Computational Dynamics, Co.: London. U. K, 2001.
 Patankar SV. Numerical Heat Transfer and Fluid Flow. Hemisphere Publication Corporation: 1980.
 Poloni AC., Giurgevich A., Onesti L, Pediroda V. Hybridization of a Multi-Objective Genetic Algorithm, a Neural Network and a Classical Optimizer for a Complex Design Problem in Fluid Dynamics. Dipartimento di Energetica Universita di Trieste: Italy, 1999.
 Goldberg D. Genetic Algorithms in Search, Optimization and Machine Learning. Addision-Wesle: 1989.
 Booker LB. Improving Search in Genetic Algorithms in Davis L(Editor). Genetic Algorithms and Simulated Annealing. Morgan Kaufmann Publishers: Los Altos, CA: 1987.
 Staufenbiel RW. On the Design of Stable Ram Airfoil Vehicles. The Royal Aeronautical Society Symposium Proc. 1987; 110-136.
 Fink MP., Lastinger JL. Aerodynamic Characteristics of Low-Aspect-Ratio Wings in Close Proximity to the Ground. NASA TN D-926: 1961.
 Carter AW. Effect of Ground Proximity on the Aerodynamic Characteristics of Aspect-Ratio-1 Airfoils with and without End Plate. NASA TN D-970: 1961.