Welcome to Journal of Beijing Institute of Technology
Advance Search
Volume 20Issue 2
.
Turn off MathJax
Article Contents
Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2011> 20(2): 143-151
ZHAO Liang-yu, XU Yong, XU Lai-bin, YANG Shu-xing. Bi-objective path optimization of flapping airfoils based on a surrogate model[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2011, 20(2): 143-151.
Citation: ZHAO Liang-yu, XU Yong, XU Lai-bin, YANG Shu-xing. Bi-objective path optimization of flapping airfoils based on a surrogate model[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2011, 20(2): 143-151.
shu

Bi-objective path optimization of flapping airfoils based on a surrogate model

  • School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China

  • Received Date:2010-03-25
    Abstract
  • A bi-objective optimization problem for flapping airfoils is solved to maximize the time-averaged thrust coefficient and the propulsive efficiency. Design variables include the plunging amplitude, the pitching amplitude and the phase shift angle. A well defined Kriging model is used to substitute the time-consuming high fidelity model, and a multi-objective genetic algorithm is employed as the search algorithm. The optimization results show that the propulsive efficiency can be improved by reducing the plunging amplitude and the phase shift angle in a proper way. The results of global sensitivity analysis using the Sobol's method show that both of the time-averaged thrust coefficient and the propulsive efficiency are most sensitive to the plunging amplitude, and second most sensitive to the pitching amplitude. It is also observed that the phase shift angle has an un-negligible influence on the propulsive efficiency, and has little effect on the time-averaged thrust coefficient.
    • FullText(HTML)
  • loading
    • References (22)
  • [1]
    Anderson J M, Streitlien K, Barrett D S, et al. Oscillating foils of high propulsive efficiency[J]. Journal of Fluid Mechanics, 1998, 360: 41-72.
    [2]
    Pesavento U, Wang Z J. Flapping wing flight can save aerodynamic power compared to steady flight [J]. Physical Review Letters, 2009, 118102: 1-4.
    [3]
    Tuncer H I, Kaya M. Optimization of flapping airfoils for maximum thrust and propulsive efficiency[J]. AIAA Journal, 2005, 43(11): 2329-2336.
    [4]
    Kaya M, Tuncer H I. Nonsinusoidal path optimization of a flapping airfoil[J]. AIAA Journal, 2007, 45(8): 2075-2082.
    [5]
    Kaya M, Tuncer H I, Jones D K, et al. Optimization of flapping motion parameters for two airfoils in a biplane [J]. Journal of Aircraft, 2009, 46(2): 583-592.
    [6]
    Soueid H, Guglielmini L, Airiau C, et al. Optimization of the motion of a flapping airfoil using sensitivity functions[J]. Computers & Fluids, 2009, 38: 861-874.
    [7]
    Tuncer H I, Kaya M. Thrust generation caused by flapping airfoils in a biplane configuration [J]. Journal of Aircraft, 2003, 40(3): 509-515.
    [8]
    Liu H, Ellington C P, Kawachi K, et al. A computational fluid dynamic study of hawkmoth hovering [J]. Journal of Experimental Biology, 1998, 201: 461-477.
    [9]
    Sun M, Tang J. Unsteady aerodynamic force generation by a model fruit-fly wing in flapping motion [J]. Journal of Experimental Biology, 2002, 205: 55-70.
    [10]
    Wu J H, Sun M. Unsteady aerodynamics forces of a flapping wing [J]. Journal of Experimental Biology, 2004, 207: 1137-1150.
    [11]
    Wang Z J. Dissecting insect flight [J]. Annual Review of Fluid Mechanics, 2005, 37: 183-210.
    [12]
    Miao J M, Ho M H. Effect of flexure on aerodynamic propulsive efficiency of flapping flexible airfoil[J]. Journal of Fluids and Structures, 2006, 22: 401-419.
    [13]
    Bos F M, Lentink D, van Oudheusden B W, et al. Influence of wing kinematics on aerodynamic performance in hovering insect flight[J]. Journal Fluid Mechanics, 2008, 594: 341-368.
    [14]
    Young J, Walker S M, Bomphrey R J, et al. Details of insect wing design and deformation enhance aerodynamic function and flight efficiency[J]. Science, 2009, 325(5947): 1549-1552.
    [15]
    Simpson T W, Mauery T M, Korte J J, et al. Kriging models for global approximation in simulation-based multidisciplinary design optimization[J]. AIAA Journal, 2001, 39(12): 2233-2241.
    [16]
    Simpson T W, Booker A J, Ghosh D, et al. Approximation methods for multidisciplinary analysis and optimization: a panel discussion[J]. Structural and Multidisciplinary Optimization, 2004, 27: 302-313.
    [17]
    Queipo N V, Haftka R T, Shyy W, et al. Surrogate-based analysis and optimization [J]. Progress in Aerospace Sciences, 2005, 41: 1-28.
    [18]
    Trizila P, Kang C K, Visbal M, et al. A surrogate model approach in 2D versus 3D flapping wing aerodynamic analysis, AIAA-2008-5914 . Victoria, British Columbia, Canada: AIAA, 2008.
    [19]
    Zhao Liangyu, Xu Yong, Xu Laibin, et al. A novel immune genetic algorithm based on quasi secondany response[J]. Journal of Beijing Institute Technology, 2011, 20(1): 4-13.
    [20]
    Deb K, Pratap A, Agarwal S, et al. A fast and elitist multiobjective genetic algorithm: NSGA-II [J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182-197.
    [21]
    Sobol I M. Sensitivity estimates for non-linear mathematical models [J]. Mathematical Modeling & Computational Experiment, 1993, 1(4): 407-414.
    [22]
    Ziehn T, Tomlin A S. GUI-HDMR: a software tool for global sensitivity analysis of complex models [J]. Environmental Modelling & Software, 2009, 24: 775-785.
    • Relative Articles
  • Supplements (0)
  • Cited By
  • 加载中

Catalog

    通讯作者:陈斌, bchen63@163.com
    • 1.

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (1012) PDF downloads(312) Cited by()
    Proportional views
    Related

    Address:5 Zhongguancun South Street, Haidian District, Beijing

    Tel:86-10-68914374

    Email:blgywb@bit.edu.cn

    Copy Right © Journal of Beijing Institute of Technology

    Supported by:Beijing Renhe Information Technology Co. Ltd

    /

      Return
      Return
        Baidu
        map