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Aerodynamic shape optimisation, wind tunnel measurements and CFD analysis of a MAV wing

Published online by Cambridge University Press:  27 January 2016

M. R. A. Nabawy ,
M. M. ElNomrossy ,
M. M. Abdelrahman  and
G. M. ElBayoumi
M. R. A. Nabawy*
Affiliation:
School of Mechanical, Aerospace and Civil Engineering, The University of Manchester, Manchester, UK Aerospace Engineering Department, Cairo University, Giza, Egypt
M. M. ElNomrossy
Affiliation:
Production, Energy and Automatic Control Department, French University, Cairo, Egypt
M. M. Abdelrahman
Affiliation:
Aerospace Engineering Department, Cairo University, Giza, Egypt
G. M. ElBayoumi
Affiliation:
Aerospace Engineering Department, Cairo University, Giza, Egypt
*
mostafa.ahmednabawy@postgrad.manchester.ac.uk
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Abstract

The aerodynamic shape optimisation of a micro air vehicle (MAV) wing is performed to obtain the basic wing geometrical characteristics which produce the maximum range and endurance requirements. Multhopp’s method based on Prandtl’s classical lifting line theory is used for the determination of the spanwise load distribution required during the optimisation process. The obtained lift and drag characteristics are used for the derivation of the range and endurance equations of an electrically driven micro air vehicle. The optimisation process is based on the modified feasible directions gradient based optimisation algorithm. Results are validated using wind tunnel measurements showing very good agreement. Results are also compared with solutions to the Navier-Stokes equations obtained with ANSYS-CFX finite elements using different turbulence models. These include the k-ε and the shear stress transport (SST) models as well as the Reynolds stress model.

Type
Research Article
Information
The Aeronautical Journal , Volume 116 , Issue 1181 , July 2012 , pp. 685 - 708
Copyright
Copyright © Royal Aeronautical Society 2012 

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References

1. Grasmeyer, J.M. and Keennon, M.T. Development of the Black Widow micro air vehicle, January 2001, AIAA Paper 2001-0127.Google Scholar
2. Ifju, P.G., Jenkins, D.A., Ettinger, S., Lian, Y., Shyy, W., and Waszak, M.R. Flexible-wing based micro air vehicles, January 2002, AIAA Paper 2002-0705.Google Scholar
3. Abdulrahim, M., Garcia, H. and Lind, R. Flight characteristics of shaping the membrane wing of a micro air vehicle, AIAA J Aircr, January–February 2005, 42, (1), pp 131–137.Google Scholar
4. Stanford, B., Abdulrahim, M., Lind, R. and Ifju, P. Investigation of membrane actuation for roll control of a micro air vehicle, AIAA J Aircr, May-June 2007, 44, (3), pp 741–749.Google Scholar
5. Waszak, M.R., Jenkins, L.N., and Ifju, P. Stability and control properties of an aeroelastic fixed wing micro air vehicle, 2001, AIAA Paper 2001-4005, AIAA Atmospheric Flight Mechanics Conference, 6-9 August 2001, Montreal, Canada.Google Scholar
6. Fleming, G.A., Bartram, S.M.,Waszak, M.R. and Jenkins, L.N. Projection moire interferometry measurements of micro air vehicle wings, 2001, SPIE Paper 4448-16, Society of Photo-Optical Instrumentation Engineers International Symposium on Optical Science and Technology, 29 July-3 August 2001, San Diego, CA, USA.Google Scholar
7. Albertani, R., Hubner, P., Ifju, P., Lind, R. and Jackowski, J. Experimental aerodynamics of micro air vehicles, 2004, Paper 2004-01-3090, Society of Automotive Engineers World Aviation Congress and Exhibition, Reno, NV, USA.Google Scholar
8. Lian, Y., Shyy, W. and Ifju, P. Membrane wing model for micro air vehicles, AIAA J, 2003, 41, (12), pp 2492–2494.Google Scholar
9. Lian, Y. and Shyy, W. Numerical simulations of membrane wing aerodynamics for micro air vehicle applications, AIAA J Aircr, July–August 2005, 42, (4), pp 865–873.Google Scholar
10. Nickel, K. and Wohlfahrt, M. Tailless Aircraft in Theory and Practice, 1994, American Institute of Aeronautics and Astronautics, Washington, DC, USA.Google Scholar
11. ANSYS CFX Version 12.1 Users and Theory Manuals, 2009, ANSYS.Google Scholar
12. Roskam, J. Airplane Aerodynamics and Performance, 1997, Design, Analysis and Research Corporation, Lawrence, KS, USA.Google Scholar
13. Anderson, J.D. Aircraft Performance and Design, 1999, International edition, WCB/McGraw-Hill.Google Scholar
14. Anderson, J.D. Introduction to Flight, 1978, McGraw-Hill, New York, USA.Google Scholar
15. Hoak, D.E. et al. USAF Stability and Control Datcom, 1978, Flight Control Division, Air Force Flight Dynamics Laboratory, Ohio, USA.Google Scholar
16. Roskam, J. Airplane Design, Part VI, Design, Analysis and Research Corporation, 1989, Lawrence, KS, USA.Google Scholar
17. Prandtl, L. Tragflugel theorie, nachricten von der gesellschaft der wissenschaften zu Gottingen, Ges-chaeftliche Mitteilungen, Klasse, 1918, pp 451–477.Google Scholar
18. Prandtl, L. Applications of modern hydrodynamics to aerodynamics, June 1921, NACA TR-116.Google Scholar
19. Schilichting, H. and Truckenbradt, E. Aerodynamics of the Airplane, 1979, McGraw-Hill, New York, USA.Google Scholar
20. Pope, A. Basic Wing and Airfoil Theory, 1951, First edition, McGraw-Hill, New York, USA.Google Scholar
21. Karamcheti, K. Ideal Fluid Aerodynamics, 1966, Wiley, New York, USA.Google Scholar
22. Katz, J. and Plotkin, A. Low Speed Aerodynamics, 2001, Second edition, Cambridge University Press, Cambridge, UK.Google Scholar
23. Anderson, J.D. Fundamentals of Aerodynamics, 2001, Third edition, McGraw-Hill, New York, USA.Google Scholar
24. Bertin, J.J. Aerodynamics for Engineers, 2002, Fourth edition, Prentice-Hall, Upper Saddle River, NJ, USA.Google Scholar
25. Philips, W.F. Lifting-line analysis for twisted wings and wash out optimized wings, AIAA J Aircr, January–February 2004, 41, (1), pp 128–136.Google Scholar
26. Philips, W.F., Spencer, R.F. and Spall, R.E. Minimizing induced drag with geometric and aerodynamic twist, CFD validation, 2005, AIAA-2005-1034, 43rd AIAA Aerospace Sciences Meeting and Exhibition, 10-13 January 2005, Reno, Nevada, USA.Google Scholar
27. Eppler, R. Airfoil Design and Data, 1990, Springer Verlag, Berlin, Germany.Google Scholar
28. Vanderplaats, G.N. Numerical Optimization Techniques for Engineering Design, 1999, Vander-plaats Research and Development.Google Scholar
29. Vanderplaats, G.N. An efficient feasible directions algorithm for design synthesis, AIAA J, November 1984, 22, (11), pp 633–640.Google Scholar
30. VisualDoc Version 6.2 Users and Theory Manuals, 2009, Vanderplaats Research and Development.Google Scholar
31. Beckwith, T.G., Marangoni, R.D. and Lienhardv, J.H. Mechanical Measurements, 2007, Sixth edition, Pearson Printice Hall Education.Google Scholar
32. Pope, A. Wind-Tunnel Testing, 1954, Second edition, John Wiley & Sons.Google Scholar
33. Freitas, C.J. J Fluids engineering editorial policy statement on the control of numerical accuracy, J Fluids Eng, 1993, 115, pp 339–340.Google Scholar
34. Celik, I., and Karatekin, O. Numerical experiments on application of Richardson extrapolation with nonuniform grids, ASME J Fluid Eng, September 1997, 119, (3), pp 584–590.Google Scholar
35. Menter, F.R., Zonal two equation k -ω turbulence models for aerodynamic flows, 1993, AIAA Paper 93-2906.Google Scholar
36. Bardina, J.E., Huang, P.G. and Coakley, T.J. Turbulence modeling, validation, testing and development, 1997, NASA Technical Memorandum, 110446.Google Scholar