An Implementation of Self-Organizing Maps for Airfoil Design Exploration via Multi-Objective Optimization Technique

Authors

  • SungKi Jung Federal University of ABC
  • Won Choi Hanwha Corporation/Machinery, Aerospace Division
  • Luiz S. Martins-Filho Federal University of ABC
  • Fernando Madeira Federal University of ABC

Keywords:

Aerodynamics, Adaptive Range Multi-Object Genetic Algorithm, PARSEC, Self Organizing Map, Computational Fluid Dynamics

Abstract

Design candidates obtained from optimization techniques may have meaningful information, which provides not only the best solution, but also a relationship between object functions and design variables. In particular, trade-off studies for optimum airfoil shape design involving various objectives and design variables require the effective analysis tool to take into account a complexity between objectives and design variables. In this study, for the multiple-conflicting objectives that need to be simultaneously fulfilled, the real-coded Adaptive Range Multi-Objective Genetic Algorithm code, which represents the global and stochastic multi-objective evolutionary algorithm, was developed for an airfoil shape design. Furthermore, the PARSEC method reflecting geometrical properties of airfoil is adopted to generate airfoil shapes. In addition, the Self-Organizing Maps, based on the neural network, are used to visualize trade-offs of a relationship between the objective function space and the design variable space obtained by evolutionary computation. The Self-Organizing Maps that can be considered as data mining of the engineering design generate clusters of object functions and design variables as an essential role of trade-off studies. The aerodynamic data for all candidate airfoils is obtained through Computational Fluid Dynamics. Lastly, the relationship between the maximum lift coefficient and maximum lift-to-drag ratio as object functions and 12 airfoil design parameters based on the PARSEC method is investigated using the Self-Organizing Maps method.

Author Biography

SungKi Jung, Federal University of ABC

Education
He was awared a BS in Aerospace engineering in 2003, an MS in Aerospace engineering in 2006 and a PhD in 2011 in Aerospace engineering, all from Gyeongsang National University in South Korea.

Work experience
He was a exchange student at the Nagoya university in Japan from 2001-2002 and a visiting student at the Ohio state university in USA, 2005 and a visiting researcher at the JAXA/ISAS in Japan, 2009. Also he was a senior research engineering in the Korea aerospace industries, LTD from 2011-2015.
Since 2015 he has been a visiting member of the faculty in the CECS in UFABC. 

Publications
He has published many research papers on aircraft icing, aerodynamics, computational modeling for CFD, aerospace engineering and multidiscipinary approaches.  
   Publication Detail
   His particular research interests are in the computational modeling of compressible multiphase flow, aircraft icing and optimization. 

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Published

2016-05-31

Issue

Section

Original Papers