Journal of Mechanical Science and Technology

, Volume 32, Issue 2, pp 781–791 | Cite as

Parameter analysis and design for the hovering thrust of a quad-rotor air vehicle using CFD and design of experiment

Article

Abstract

The present study explores the aerodynamic parameter analysis and design of a quad-rotor air vehicle in hover using Computational fluid dynamics (CFD) and Design of experiments (DOE). Following the identification of the center distance between rotors in terms of hovering thrust and velocity/pressure distributions, the blade-shape parameter design is implemented to predict the optimal levels of twist angle, maximum chord position, blade cross-section type and twist position, and the significant factor effects and factor interactions in DOE are discussed. The present study shows that optimized twist angle and twist-starting position enables maximum hovering thrust in the proposed quad-copter.

Keywords

Quad-rotor air vehicle (Quad-Copter) Computational fluid dynamics Hovering thrust Center distance Blade-shape parameters Design of experiment 

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References

  1. [1]
    A. R. Girard, A. S. Howell and J. K. Hedrick, Border patrol and surveillance missions using multiple unmanned air vehicles, Proceedings of the 43rd IEEE Conference on Decision and Control, 1 (2004) 620–625.Google Scholar
  2. [2]
    A. Le Pape and P. Beaumier, Numerical optimization of helicopter rotor aerodynamic performance in hover, Aerospace Science and Technology, 9 (3) (2005) 191–201.CrossRefMATHGoogle Scholar
  3. [3]
    J. H. Yun, H.-Y. Choi and J. Lee, CFD-based thrust analysis of unmanned aerial vehicle in hover mode: Effects of single rotor blade shape, Transactions of the Korean Society of Mechanical Engineers A, 38 (5) (2014) 513–520.CrossRefGoogle Scholar
  4. [4]
    P. Pounds, R. Mahony, J. Gresham, P. Corke and J. Roberts, Towards dynamically-favourable quad-rotor aerial robots, Proceedings of the 2004 Australasian Conference on Robotics & Automation, Canberra, Australia, April (2004).Google Scholar
  5. [5]
    H. Huang, G. M. Hoffmann, S. L. Waslander and C. J. Tomlin, Aerodynamics and control of autonomous quadrotor helicopters in aggressive maneuvering, Proceedings of International Conference on Robotics and Automation 2009, Kobe, Japan, May (2009) 3277–3282.CrossRefGoogle Scholar
  6. [6]
    E. Çetinsoy, S. Dikyar, C. Hançer, K. T. Oner, E. Sirimoglu, M. Unel and M. F. Aksit, Design and construction of a novel quad tilt-wing UAV, Mechatronics, 22 (6) (2012) 723–745.CrossRefGoogle Scholar
  7. [7]
    S. U. Islam, C. Y. Zhou and F. Ahmad, Numerical simulations of cross-flow around four square cylinders in an in-line rectangular configuration, World Academy of Sciences, Engineering Technology, 33 (2009) 824–833.Google Scholar
  8. [8]
    D. Aleksandrov and I. Penkov, Optimization of lift force of mini quad rotor helicopter by changing of distance size between rotors, Solid State Phenomena, 198 (2013) 226–231.CrossRefGoogle Scholar
  9. [9]
    Y. Naidoo, R. Stopforth and G. Bright, Quad-rotor unmanned aerial vehicle helicopter modelling & control, International Journal of Advanced Robotic System, 8 (4) (2011) 139–149.CrossRefGoogle Scholar
  10. [10]
    P. C. Trizaila, Aerodynamics of low Reynolds number rigid flapping wing under hover and free-stream conditions, Ph.D. Dissertation, Department of Aerospace Engineering, The University of Michigan (2011).Google Scholar
  11. [11]
    V. K. Lakshminarayan and J. D. Baeder, Computational investigation of micro hovering rotor aerodynamics, Journal of the American Helicopter Society, 55 (2) (2010) 22001.CrossRefGoogle Scholar
  12. [12]
    ANSYS FLUENT 14.5 Help, ANSYS, INC., Canonsburg, PA (2013).Google Scholar
  13. [13]
    T. H. Kim, S. J. An, Y. D. Jo, K. M. Moon, B. Y. Bae and D. H. Yang, A study on the composite blade performance variation by attaching erosion shield for hovercraft, Journal of the Korean Society of Marine Engineering, 33 (7) 1017–1025.Google Scholar
  14. [14]
    R. Steij and G. Barakos, CFD analysis of rotor-fuselage interactional aerodynamics, Proceedings of the 45th AIAA Aerospace Sciences Meeting and Exhibit, Reno, NV, January (2007).Google Scholar
  15. [15]
    M. H. Mohamed, A. M. Ali and A. A. Hafiz, CFD analysis for H-rotor darrieus turbine as a low speed wind energy converter, International Journal of Engineering Science and Technology, 18 (1) (2014) 1–13.Google Scholar
  16. [16]
    S. W. Lee and O. J. Kwon, Aerodynamic shape optimization of hovering rotor blades in transonic flow using unstructured meshes, AIAA Journal, 44 (8) (2006) 1816–1825.CrossRefGoogle Scholar
  17. [17]
    W. Y. Fowlkes and C. M. Creveling, Engineering methods for robust product design, Addison Wesley, Reading, MA (1995).Google Scholar

Copyright information

© The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Mechanical EngineeringYonsei UniversitySeoulKorea

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