Transactions of the Korean Society of Mechanical Engineers A (대한기계학회논문집A)

The Korean Society of Mechanical Engineers (대한기계학회)
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Optimization of Transonic Airfoil Using GA Based on Neural Network and Multiple Regression Model

유전 알고리듬과 반응표면을 이용한 천음속 익형의 최적설계

  • 김윤식 (연세대학교 기계공학부) ;
  • 김종헌 (연세대학교 기계공학부) ;
  • 이종수 (연세대학교 대학원 기계공학과)
  • Published : 2002.12.01
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Abstract

The design of airfoil had practiced by repeat tests in its first stage, though an airfoil has as been designed based on simulations according to techniques of computational fluid dynamics. Here, using of traditional optimization is unsuitable because a state of flux is hypersensitive to the shape of airfoil. Therefore the paper optimized the shape of airfoil in transonic region using a genetic algorithm (GA). Response surfaces are based on back propagation neural network (BPN) and regression model. Training data of BPN and regression model were obtained by computational fluid dynamic analysis using CFD-ACE, and each analysis has been designed by design of experiments.

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References

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