DOI QR코드

DOI QR Code

A Study on Real-Coded Adaptive Range Multi-Objective Genetic Algorithm for Airfoil Shape Design

익형 형상 설계를 위한 실수기반 적응영역 다목적 유전자 알고리즘 연구

  • Received : 2013.01.22
  • Accepted : 2013.06.13
  • Published : 2013.07.01

Abstract

In this study, the real-coded adaptive range multi-objective genetic algorithm code, which represents the global multi-objective optimization algorithm, was developed for an airfoil shape design. In order to achieve the better aerodynamic characteristics than reference airfoil at landing and cruise conditions, maximum lift coefficient and lift-to-drag ratio were chosen as object functions. Futhermore, the PARSEC method reflecting geometrical properties of airfoil was adopted to generate airfoil shapes. Finally, two airfoils, which show better aerodynamic characteristics than a reference airfoil, were chosen. As a result, maximum lift coefficient and lift-to-drag ratio were increased of 4.89% and 5.38% for first candidate airfoil and 7.13% and 4.33% for second candidate airfoil.

본 연구에서 익형 형상 설계를 위해 전역적 다목적 최적화 기법인 적응영역 다목적 유전자 알고리즘 코드를 개발하였다. 저마하수에서 최대 양력과 순항조건에서 최대 양항비를 동시에 만족시키기 위해 목적함수로 양력계수와 양항비를 선정하였으며, 익형 형상 설계를 위해 PARSEC 기법을 이용하였다. 그 결과 참조 익형 대비 나은 공력 특성을 나타내는 2개의 익형이 선택되었으며 최대 양력과 양항비는 첫 번째 익형에 대해 약 4.89%, 5.38% 증가하였으며, 두 번째 익형에 대해 약 7.13%, 4.33% 증가하였다.

Keywords

References

  1. Deb, K., "Multi-Objective Optimization Using Evolutionary Algorithms," John Wiley & Son, Ltd., Chichester, 2001.
  2. Fonseca, C. M., and Fleming, P. J., "Genetic Algorithms for Multiobjective Optimization: Formulation, Discussion and Generalization," Proceedings of the Fifth International Conference on Genetic Algorithms, Morgan Kaufmann Publishers, Inc., San Mateo, CA, 1993, pp.416-423.
  3. Kim, S.H., Kwon, J.H., and Kim, J., "Study on the Airfoil Shape Design Optimization Using Database based Genetic Algorithms," Journal of the Korean Society of Marine Engineering, Vol. 31, No. 1, 2007, pp. 58-66. https://doi.org/10.5916/jkosme.2007.31.1.58
  4. Lee, S.W., and Kwon, O.J., "Aerodynamic Shape Optimization Using a Continuous Adjoint Formulation on Unstructured Meshes," Journal of the Korean Society for Aeronautical and Space Sciences, Vol. 30, No. 4, 2002, pp. 18-27. https://doi.org/10.5139/JKSAS.2002.30.4.018
  5. Hong, S.W., Kang, H.M., Park, K.H., Lee, D.H., Yang, S.S., and Kang, Y.S., "Aerodynamic Design Optimization of 3 Stage Axial Compressor using Response Surface Method," KSAS Conference, 2009.
  6. Yim, J., Lee, B.J., and Kim, C., "Exploring Multi-Stage Shape Optimization Strategy of Multi-Body Geometries Using Kriging-Based Model and Adjoint Method," Computers & Fluids, Vol. 68, Sep., 2012, pp. 71-87. https://doi.org/10.1016/j.compfluid.2012.07.015
  7. Sasaki, D., and Obayashi, S., "Efficient Search for Trade-Offs by Adaptive Range Multi-Objective Genetic Algorithms," Journal of Aerospace Computing, Information, and Communication, Vol. 2, Jan., 2005, pp.44-64. https://doi.org/10.2514/1.12909
  8. Oyama, A., Obayashi, S., and Nakamura, T., "Real-Coded Adapive Range Genetic Algorithm Applied to Transonic Wing Optimization," Applied Soft Computing, Vol. 1, No. 3, 2001, pp.179-187. https://doi.org/10.1016/S1568-4946(01)00017-5
  9. Jung, S.K., Myong, R.S., and Cho, T.H., "An Efficient Global Optimization Method for Reducing the Wave Drag in Transonic Regime," Journal of the Korean Society for Aeronautical and Space Sciences, Vol. 37, No. 3, 2009, pp. 1-7. https://doi.org/10.5139/JKSAS.2009.37.3.248
  10. Sovieczky, H., "Parametric airfoils and Wings," Notes on Numerical Fluid Mechanics, Vieweg, 1998, pp. 71-88.

Cited by

  1. Combustion Performance Test of Syngas Gas in a Model Gas Turbine Combustor - Part 2 : NOx/CO emission Characteristics, Temperature Characteristics and Flame Structures vol.41, pp.8, 2013, https://doi.org/10.5139/JKSAS.2013.41.8.639