Improving Airfoil Drag Prediction

被引:10
|
作者
Ramanujam, Giridhar [1 ,3 ]
OEzdemir, Hueseyin [1 ,3 ]
Hoeijmakers, H. W. M. [2 ,3 ]
机构
[1] Energy Res Ctr Netherlands, Wind Energy Unit, Westerduinweg 3, NL-1755 LE Petten, Netherlands
[2] Univ Twente, Dept Mech Engn, Engn Fluid Dynam, POB 217, NL-7500 AE Enschede, Netherlands
[3] AIAA, Reston, VA 20191 USA
来源
JOURNAL OF AIRCRAFT | 2016年 / 53卷 / 06期
关键词
D O I
10.2514/1.C033788
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
An improved formulation of drag estimation for thick airfoils is presented. Drag underprediction in XFOIL-like viscous-inviscid interaction methods can be quite significant for thick airfoils used in wind turbine applications (up to 30%, as seen in the present study). The improved drag formulation predicts the drag accurately for airfoils with reasonably small trailing-edge thicknesses. The derivation of drag correction is based on the difference between the actual momentum loss thickness based on freestream velocity and that based on the velocity at the edge of the boundary layer. The improved formulation is implemented in the most recent versions of XFOIL and RFOIL (an aerodynamic design and analysis method based on XFOIL, developed by a consortium of the Energy Research Centre of the Netherlands, the National Aerospace Laboratory/NLR, and the Delft University of Technology after the Energy Research Centre of the Netherlands acquired the XFOIL code; after 1996, the Energy Research Centre of the Netherlands maintained and improved the tool), and the results are compared with experimental data, results from commercial computational fluid dynamics methods like ANSYS CFX, as well as other methods like the Technical University of Denmark Aeroelastic Design Section (AED)'s EllipSys2D and the National Renewable Energy Centre (CENER)'s Wind Multiblock. The improved version of RFOIL shows good agreement with the experimental data.
引用
收藏
页码:1844 / 1852
页数:9
相关论文
共 50 条
  • [31] Drag reduction due to riblets on a GAW(2) airfoil
    Subaschandar, N
    Kumar, R
    Sundaram, S
    JOURNAL OF AIRCRAFT, 1999, 36 (05): : 890 - 892
  • [32] Drag Reduction by Uniform Blowing on the Pressure Surface of an Airfoil
    Miura, Senri
    Ohashi, Masahiro
    Fukagata, Koji
    Tokugawa, Naoko
    AIAA JOURNAL, 2021, : 2241 - 2250
  • [33] Drag reduction due to riblets on a GAW(2) airfoil
    Subaschandar, N.
    Kumar, Rajeev
    Sundaram, S.
    Journal of Aircraft, 36 (05): : 890 - 892
  • [34] High-Incidence Airfoil Lift and Drag Estimates
    Traub, Lance W.
    JOURNAL OF AIRCRAFT, 2012, 49 (01): : 311 - 314
  • [35] Actively Reduced Airfoil Drag by Transversal Surface Waves
    Albers, Marian
    Meysonnat, Pascal S.
    Schroeder, Wolfgang
    FLOW TURBULENCE AND COMBUSTION, 2019, 102 (04) : 865 - 886
  • [36] On Drag Reduction Effect of Contour Bump of supercritical Airfoil
    Tao Yang
    Liu Guangyuan
    Wang Hongbiao
    Wang Yuanjing
    Zhao Zhong-liang
    2013 FOURTH INTERNATIONAL CONFERENCE ON DIGITAL MANUFACTURING AND AUTOMATION (ICDMA), 2013, : 879 - 882
  • [37] Airfoil Lift and Drag Extrapolation with Viterna and Montgomerie Methods
    Mahmuddin, Faisal
    Klara, Syerly
    Sitepu, Husni
    Hariyanto, Surya
    8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016), 2017, 105 : 811 - 816
  • [38] Wave drag reduction of airfoil with shock control bump
    Li, Peifeng
    Zhang, Binqian
    Chen, Yingchun
    Chen, Zhenli
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2011, 32 (06): : 971 - 977
  • [39] High-incidence airfoil lift and drag estimates
    Traub, L.W., 1600, American Institute of Aeronautics and Astronautics Inc. (49):
  • [40] Framework of airfoil max lift-to-drag ratio prediction using hybrid feature mining and Gaussian process regression
    Chen, Yaoran
    Dong, Zhikun
    Su, Jie
    Wang, Yan
    Han, Zhaolong
    Zhou, Dai
    Zhao, Yongsheng
    Bao, Yan
    ENERGY CONVERSION AND MANAGEMENT, 2021, 243