한국유체기계학회 논문집 (The KSFM Journal of Fluid Machinery)

한국유체기계학회 (Korean Society for Fluid machinery)
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익형의 형상최적화를 통한 고효율 축류송풍기 설계

High-Efficiency Design of Axial Flow Fan through Shape Optimization of Airfoil

  • 이기상 (인하대학교 대학원 기계공학과) ;
  • 김광용 (인하대학교 기계공학부) ;
  • 최재호 (삼성테크윈 파워시스템연구소)
  • 발행 : 2008.04.01
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초록

This study presents a numerical optimization to optimize an axial flow fan blade to increase the efficiency. The radial basis neural network is used as an optimization method with the numerical analysis by Reynolds-averaged Navier-Stokes equations using SST model as turbulence closure. Four design variables related to airfoil maximum camber, maximum camber location, leading edge radius and trailing edge radius, respectively, are selected, and efficiency is considered as objective function which is to be maximized. Thirty designs are evaluated to get the objective function values of each design used to train the neural network. Optimum shape shows the efficiency increased by 1.0%.

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참고문헌

  1. Lofti, O., Teixeira, J. A., Ivey, P. C., Sheard, G. and Kinghorn, I. R., 2005, "Aerodynamic Optimization of Industrial Fan Blades," ASME Turbo Expo 2005, Nevada, USA, GT2005-68385
  2. Kelner, V., Grondin, G., Leonard, O. and Moreau, S., 2005, "Multi-objective Optimization of a Fan Blade by Coupling a Genetic Algorithm and a Parametric Flow Solver," Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems, EUROGEN 2005
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  5. Mengistu, T., Ghaly, W. and Mansour, T., 2007, "Aerodynamic Shape Optimization of a Turbine Blades Using Design-Parameter-Based Shape Representation," ASME Turbo Expo 2007, Montreal, Canada, GT2007-28041
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피인용 문헌

  1. vol.12, pp.1, 2009, https://doi.org/10.5293/KFMA.2009.12.1.063
  2. Effects of the Distance between Jet Fans on the Ventilation Performance in a Road Tunnel vol.14, pp.4, 2011, https://doi.org/10.5293/KFMA.2011.14.4.025