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http://dx.doi.org/10.5293/KFMA.2008.11.2.046

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

Lee, Ki-Sang (인하대학교 대학원 기계공학과)
Kim, Kwang-Yong (인하대학교 기계공학부)
Choi, Jae-Ho (삼성테크윈 파워시스템연구소)
Publication Information
The KSFM Journal of Fluid Machinery / v.11, no.2, 2008 , pp. 46-54 More about this Journal
Abstract
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%.
Keywords
Axial Flow Fan; Design Optimization; RBNN Method; Latin Hypercube Sampling;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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