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High resolution computational unsteady aerodynamic techniques applied to manoeuvring UCAVs

Published online by Cambridge University Press:  03 February 2016

S. A. Morton ,
R. M. Cummings ,
J. R. Forsythe  and
K. Wurtzler
S. A. Morton
Affiliation:
Department of Aeronautics, USAF Academy, Colorado, USA
R. M. Cummings
Affiliation:
Department of Aeronautics, USAF Academy, Colorado, USA
J. R. Forsythe
Affiliation:
Cobalt Solutions, LLC, Springboro, Ohio, USA
K. Wurtzler
Affiliation:
Cobalt Solutions, LLC, Springboro, Ohio, USA
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Abstract

A method of high resolution simulation is proposed for Unmanned Combat Air Vehicles (UCAVs) undergoing manoeuvress at high angle-of-attack or transonic speeds. Motivation for the need to develop such a method is first presented to show payoff in the design cycle, followed by results of using the method on current manned fighter aircraft. Finally, a notional UCAV shape from Boeing military aircraft is presented to show the possibilities of how the method can accurately capture the relevant phenomenon of these difficult flight regimes.

Type
Research Article
Information
The Aeronautical Journal , Volume 111 , Issue 1120 , June 2007 , pp. 397 - 404
Copyright
Copyright © Royal Aeronautical Society 2007 

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References

1. Gern, F.H., Inman, D.J. and Kapania, R.K., Computation of actuation power requirements for smart wings with morphing airfoils, April 2002, AIAA Paper 2002-1629.Google Scholar
2. Gern, F.H., Inman, D.J. and Kapania, R.K., Structural and aeroelastic modeling of general planform UCAV wings with morphing airfoils, April 2001, AIAA Paper 2001-1369.Google Scholar
3. Boeing to develop UAVs with advanced propulsion, Fuel Cells Bulletin, November 2002, pp 4–5.Google Scholar
4. Huang, A., Folk, C., Silva, C., Christensen, B., Chen, Y., Ho, C.m., Jiang, F., Grosjean, C., Tai, Y.C, Lee, G.b., Chen, M. and Newbern, S., Application of MEMS devices to delta wing aircraft: from concept development to transonic flight test, January 2001, AIAA Paper 2001-0124.Google Scholar
5. Capozzi, B.J. and Vagners, J., Evolving (semi)-autonomous vehicles, August 2001, AIAA Paper 2001-4241.Google Scholar
6. Guilmineau, E. and Queutey, P., Numercal study of dynamic stall on several airfoil sections, AIAA J, 1999, 37, (1), pp 128–130.Google Scholar
7. Greenblatt, D., Neuberger, D. and Wygnanski, I., Dynamic stall control by intermittent periodic excitation, J Aircr, 2001, 38, (1), pp 188–190.Google Scholar
8. Carr, L.W., Chandrasekhara, M.S. and Wilder, M.C., Effect of compressibility on suppression of dynamic stall using a slotted airfoil, J Aircr, 2001, 38, (2), pp 296–309.Google Scholar
9. Ekaterinaris, J.A. and Platzer, M.F., Computational prediction of airfoil dynamic stall, Progress in the Aerospace Sciences, 33, 1997, pp 759–846.Google Scholar
10. Carr, L.W., Progress in Analysis and prediction of dynamic stall, J Aircr, 1988, 25, (1), pp 6–17.Google Scholar
11. Henkner, J., Phenomena of dynamic stall on swept wings, 22nd International Congress of the Aeronautical Sciences, August-September 2000, ICAS Paper 2000-2.9.2.Google Scholar
12. Coton, F.N. and Galbraith, R.A., An experimental study of dynamic stall on a finite wing, Aeronaut J, May 1999, 103, (1023), pp 229–236.Google Scholar
13. Morgan, P.E. and Visbal, M.R., Simulation of unsteady three-dimensional separation on a pitching wing, AIAA Paper 2001-2709, June 2001.Google Scholar
14. Spalart, P.R., Strategies for turbulence modeling and simulation, 4th International Symposium on Engineering Turbulence Modelling and Measurements, Corsica, France, 1999.Google Scholar
15. Spalart, P.R., Jou, W-H., Strelets, M. and Allmaras, S. R., Comments on the Feasibility of LES for Wings and on a Hybrid RANS/LES Approach, Advances in DNS/LES, 1st AFOSR Int. Conf. on DNS/LES, 4–8 August 1997, Greyden Press, Columbus, Oh, USA.Google Scholar
16. Strang, W.Z., Tomaro, R.F. and Grismer, M.J., The defining methods of cobalt: A parallel, implicit, unstructured Euler/Navier-Stokes flow solver, January 1999, AIAA Paper 99-0786.Google Scholar
17. Samareh, J., Gridtool: A surface modeling and grid generation tool, proceedings of the workshop on surface modeling, grid generation and related issues in CFD solution, 9-11 May 1995, NASA CP-3291.Google Scholar
18. Pirzadeh, S., Progress toward A user-oriented unstructured viscous grid generator, January 1996, AIAA Paper 96-0031.Google Scholar
19. Spalart, P. R.and Allmaras, S.R., A One equation turbulence model for aerodynamic flows, La Recherche Aerospatiale, 1994, 1, p 5.Google Scholar
20. Forsythe, J.R., Hoffmann, K.A., and Dieteker, F.F., Detached-eddy simulation of a supersonic axisymmetric base flow with an unstructured flow solver, June 2000, AIAA Paper 2000-2410.Google Scholar
21. Shur, M., Spalart, P.R., Strelets, M. and Travin, A., Detached-eddy simulation of an airfoil at high angle-of-attack, 1999, Proc 4th International Symp Eng Turb modeling and measurments.Google Scholar
22. Spalart, P., Young-person’s guide to detached-eddy simulation grids, NASA CR 2001-211032.Google Scholar
23. Morton, S.A., Forsythe, J.R., Squires, K.D. and Wurtzler, K.E., Assessment of unstructured grids for detached-eddy simulation of high Reynolds number separated flows, 8th ISGG Conference, June 2002, Honolulu, USA.Google Scholar
24. Forsythe, J., Squires, K., Wurtzler, K. and Spalart, P., Detached eddy simulation of fighter aircraft at high alpha, January 2002, AIAA Paper 2002-0591.Google Scholar
25. Squires, K.D., Forsythe, J.R. and Spalart, P.R., Detached-Eddy Simulation of the Separated Flow Around a Forebody Cross-Section, Direct and Large-Eddy simulation IV, ERCOFTAC Series – Volume 8, Geurts, B.J., Friedrich, R. and Metais, O. (Eds), Kluwer Academic Press, 2001, pp 481–500.Google Scholar
26. Pirzadeh, S., Vortical flow prediction using an adaptive unstructured grid method, research & technology organization applied vehicle technology panel meeting, Norway, 7-11 May 2001.Google Scholar
27. Morton, S., Steenman, M., Cummings, R. and Forsythe, J., DES grid resolution issues for vortical flows on a delta wing and an F/A-18C, January 2003, AIAA Paper 2003-1103.Google Scholar
28. Forsythe, J.R. and Woodson, S.H., Unsteady CFD calculations of abrupt wing stall using detached-eddy simulation, January 2003, AIAA Paper 2003-0594.Google Scholar
29. Schuster, D. and Byrd, J., Transonic unsteady aerodynamics of the F/A-18E at conditions promoting abrupt wing stall, January 2003, AIAA Paper 2003-0593.Google Scholar
30. Forsythe, J.R., Wentzel, J.F., Squires, K.D., Wurtzler, K.D. and Spalart, P.R., Computation of prescribed spin for a rectangular wing and for the F-15 using detached-eddy simulation, January 2003, AIAA Paper 2003-0839.Google Scholar
31. Kotapati-Apparao, R.B., Squires, K.D. and Forsythe, J.R., Prediction of a prolate spheroid undergoing a pitchup maneuvre, January 2003, AIAA Paper 2003-0269.Google Scholar
32. Cummings, R., Morton, S., Siegel, S. and Bosscher, S., Numerical prediction and wind tunnel experiments for a pitching unmanned combat air vehicle, January 2003, AIAA Paper 2003-0417.Google Scholar