Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-19T06:05:31.207Z Has data issue: false hasContentIssue false

Aerodynamic shape optimisation of a proprotor and its validation by means of CFD and experiments

Published online by Cambridge University Press:  27 January 2016

G. Droandi*
Affiliation:
Dipartimento di Scienze e Tecnologie Aerospaziali, Politecnico di Milano, Milano, Italy
G. Gibertini
Affiliation:
Dipartimento di Scienze e Tecnologie Aerospaziali, Politecnico di Milano, Milano, Italy

Abstract

The aerodynamic shape design of a proprotor for a tiltrotor aircraft is a very complex and demanding task because it has to combine good hovering capabilities with high propeller efficiency. The aim of the present work is to describe a two-level procedure and its results for the aerodynamic shape design of a new rotor blade for a high-performance tiltwing tiltrotor aircraft taking into account the most important flight conditions in which the aircraft can operate. Span-wise distributions of twist, chord and aerofoil were chosen making use of a multi-objective genetic optimiser that worked on three objectives simultaneously. A non-linear sweep angle distribution along the blade was designed to reduce the power losses due to compressibility effects during axial flight at high speed. During the optimisation process, the aerodynamic performance of the blade was evaluated with a classical two-dimensional strip theory solver. The optimised blade was than analysed by means of a compressible Navier-Stokes solver and calculations were validated comparing numerical results with experimental data obtained from wind-tunnel tests of a scaled model of the proprotor.

Type
Research Article
Copyright
Copyright © Royal Aeronautical Society 2015

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Foster, M. The Future Evolution of the Tiltrotor, AIAA/ICAS International Air and Symposium and Exposition: The Next 100 Years of Flight, 14-17 July 2003.Google Scholar
2.Maisel, M., Giulianetti, D. and Dugan, D.The history of the XV-15 tilt rotor research aircraft: from concept to flight, Monographs in Aerospace History, 17 SP-2000-4517, NASA History Division, Washington, DC, US, 2000.Google Scholar
3.Snyder, D.EThe Quad Tiltrotor: Its Beginning and Evolution, American Helicopter Society 56th Annual Forum, Alexandria, VA, US, May 2000, pp 4861.Google Scholar
4.Gazdag, D. and Altonin, L.Potential use of tiltrotor aricraft in Canadian aviation, Tech. Rep. TM-102245, NASA Technical Memorandum, Ames Research Center, Moffett Field, CA, US, 1990.Google Scholar
5.Reber, R. Civil TiltRotor Transportation for the 21st Century, AIAA 93-4875, AIAA International powered lift conference, 1993.Google Scholar
6.Young, L., Lillie, D., McCluer, M., Yamauchi, G. and Derby, M.Insights into Airframe Aerodynamics and rotor-on-wing Interactions from a 0·25 Scale tiltrotor wind tunnel model, american helicopter society aerodynamics, acoustics, and test and evaluation technical specialists’ meeting, San Francisco, CA, US, 23-25 January 2002.Google Scholar
7.McVeigh, M.AThe V-22 tiltrotor large-scale rotor performance/wing download test and comparison with theory, Vertica, 10, (3/4), 1986, pp 281297.Google Scholar
8.Felker, F. Wing download results from a test of a 0·658-Scale V-22 rotor and wing, J American Helicopter Society, October 1992, pp 5863.Google Scholar
9.McVeigh, M.A., Rosenstein, H.J. and McHugh, F.J.Aerodynamic Design of the XV-15 Advanced Composite Tiltrotor Blade, American Helicopter Society Aerodynamics 39th Annual Forum, St Louis, MO, US, 9-11 May 1983.Google Scholar
10.Paisley, D.JRotor Aerodynamic Optimization for High Speed Tiltrotors, American Helicopter SocietyAerodynamics 43th Annual Forum, St Louis, MO, US, 18-20 May 1987.Google Scholar
11.Liu, J., Paisley, D. J. and Hirsh, J.Tiltrotor Aerodynamic Blade Design by Numerical Optimization Method, American Helicopter Society Aerodynamics 46th Annual Forum, Washington, DC, US, May 1990.Google Scholar
12.Dancik, P., Mazzitelli, F. and Peck, W. Test Experience on the Vertol 76 VTOL Research Aircraft, American Helicopter Society 14th Annual Forum, 16-19 April 1958.Google Scholar
13.Alli, P., Nannoni, F. and Cicalè, M., ERICA: The european tiltrotor design and critical technology projects, AIAA/ICAS, International Air and Space Symposium and Exposition: The Next 100 Years, Dayton, Ohio, US, 14-17 July 2005.Google Scholar
14.Lefebvre, T., Beaumier, P., Canard-Caruana, S., Pisoni, A., Pagano, A., Sorrentino, A., der Wall, B. V., Yin, J., Arzoumanian, C., Voutsinas, S. and Hermans, C.Aerodynamic and aero-acoustic optimization of modern tilt-rotor blades within the ADYN project, ECCOMAS, 4th European Congress on Computational Methods in Applied Sciences and Engineering, Jyväskylä, Finlande, 24-28 July 2004.Google Scholar
15.Beaumier, P., Decours, J. and Lefebvre, T.Aerodynamic and Aeroacoustic Desing of Moder Tilt-Rotors: the Onera Experience, ICAS, 26th International Congress of the Aeronautical Sciences, Anchorage, Alaska, US, 14-19 September 2008.Google Scholar
16.Leishman, J.G. and Rosen, K.M.Challenges in the aerodynamic optimization of high-efficiencyproprotors, J American Helicopter Society, January 2011, 56, (1), pp 120041200421.CrossRefGoogle Scholar
17.Brocklehurst, A. and Barakos, G.N.A Review of Helicopter Rotor Blade Tip Shapes, Progress in Aerospace Sciences, 2013, 56, pp 3574.Google Scholar
18.Liu, J. and McVeigh, M. Design of Swept Blade Rotors for High Speed Tiltrotor Applications, AIAA-91-3147, AIAA Aircraft Design Systems and Operations Meeting, Baltimore, MD, US, 23-25 September 1991.Google Scholar
19.Pape, A.L. and Beaumier, P.Numerical Optimization of Helicopter Rotor Aerodynamic Performance in Hover, Aerospace Science and Tecnology, 2005, 9, (3), pp 191201.Google Scholar
20.Servera, G., Beaumier, P. and Costes, M.A weak coupling method between the dynamic code HOST and the 3D unsteady Euler code WAVES, Aerospace Science and Tecnology, 2001, 5, (6), pp 397408.Google Scholar
21.Konak, A., Corr, D.W. and Smith, A.E.Multi-Objective Optimization Using Genetic Algorithms: A Tutorial, Reliability Engineering & System Safety, 2006, 91, (9), pp 9921007, Special Issue Genetic Algorithms and Reliability Special Issue Genetic Algorithms and Reliability.Google Scholar
22.Imiela, M.High-Fidelity Optimization Framework for Helicopter Rotors, Aerospace Science and Technology, 2012, 23, (1), pp 216.Google Scholar
23.Deb, K.Multi-Objective Optimization Using Evolutionary Algorithms, John Wiley and Sons Ltd, Southern Gate, Chichester, West Sussex, UK, 2008.Google Scholar
24.Leusink, D., Alfano, D., Cinnella, P. and Robinet, J.C.Aerodynamic rotor blade optimization at Eurocopter A new way of industrial rotor blade design, AIAA 2013-0779, 51th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, Grapevine, Texas, US, 7-10 January 2013.Google Scholar
25.Johnson, C.S. and Barakos, G.N.Optimising Aspects of Rotor Blades in Forward Flight, AIAA-2011-1194, 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, Orlando, FL, US, 4-7 January 2011.Google Scholar
26.León, E.R., Pape, A.L., Désidéri, J.-A., Alfano, D. and Costes, M. Concurrent Aerodynamic Optimization of Rotor Blades Using a Nash Game Method, American Helicopter Society 69th Annual Forum, 21-23 May 2013.Google Scholar
27.Wilke, G.Variable Fidelity Optimization of Required Power of Rotor Blades: Investigation of Aerodynamic Models and their Application, 38th European Rotorcraft Forum, Amsterdam, The Netherlands, 4-7 September 2012.Google Scholar
28.Droandi, G., Gibertini, G. and Biava, M.Wing-Rotor Aerodynamic Interaction in Tiltrotor Aircraft, 38th European Rotorcraft Forum, Amsterdam, The Netherlands, 4-7 September 2012.Google Scholar
29.Deb, K.A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, April 2002, 6, (2), pp 182197.Google Scholar
30.Michalewicz, Z. and Janikow, C.Z. Handling Constraints in Genetic Algorithms, Proceedings of the Fourth International Conference on Genetic Algorithms, 1991, pp 151157.Google Scholar
31.Neubauer, A.Adaptive non-uniform mutation for genetic algorithms, Computational Intelligence Theory and Application, 1226, 1997, pp 2434.Google Scholar
32.Droandi, and Gibertini, G.Aerodynamic blade design with multi-objective optimization for a tiltrotor aircraft, Aircraft Engineering and Aerospace Technology, 2015, 87, (1), pp 1929.Google Scholar
33.Droandi, G.Wing-Rotor Aerodynamic Interaction in Tiltrotor Aircraft, PhD thesis, Politecnico di Milano, 2014.Google Scholar
34. Mathworks, T. Global Optimization Toolbox, User’s Giude, http://mathworks.it, 2013, Online; accessed 20 December 2013.Google Scholar
35. MathWorks, T. Parallel Computing Toolbox, User’s Giude, http://mathworks.it, 2013, Online; accessed 20 December 2013.Google Scholar
36.Johnson, W.Helicopter Theory, Princeton University Press, Princeton, New Jersey, US, 1980.Google Scholar
37.Leishman, J.G.Principles of Helicopter Aerodynamics, Cambridge Aerospace Series, New York, NY, US, 2006.Google Scholar
38.Gur, O. and Rosen, A.Comparison between blade-element models, Aeronaut J, December 2008, 112, (1138), pp 689704.Google Scholar
39.Goldstein, L.On the Vortex Theory of Screw Propellers, Proceedings of the Royal Society of London. Series A, Containing Papers of a Mathematical and Physical Character, 1929, 123, (792), pp 440465.Google Scholar
40.Abbott, I. and Doenhoff, A.V.Theory of Wing Sections, Including a Summary of Aerofoil Data, McGraw-Hill Book Co., Inc. Reprinted by Dover Publications, 1959, New York, US, 1949.Google Scholar
41.Biava, M., Pisoni, A., Saporiti, A. and Vigevano, L.Efficient rotor aerodynamics predictions with an Euler method, 29th European Rotorcraft Forum, Friedrichshafen, Germany, 16-18 September 2003.Google Scholar
42.Spalart, P. and Allmaras, S.One equation model for aerodynamic flows, AIAA 92-0439, 30th AIAA Aerospace Science Meeting & Exhibit, Reno, Nevada, US, 6-9 January 1992.Google Scholar
43.Roe, P.L.Approximate Riemann Solvers, Parameter Vectors and Difference Schemes, J Computational Physics, 43, 1981, pp 357372.Google Scholar
44.Venkatakrishnan, V.On the accuracy of limiters and convergence to steady state solutions, AIAA 1993-880, 31st AIAA Aerospace Science Meeting & Exhibit, Reno, Nevada, US, 1993.Google Scholar
45.Jameson, A.Time Dependent Calculations Using Multigrid with Applications to Unsteady Flows past Aerofoils and Wings, AIAA 91-1596, 10th AIAA Computational Fluid Dynamics Conference, Honolulu, HI., US, 1991.Google Scholar
46.Hirsch, C.Numerical computation of internal and external flows, John Wiley & Sons, 1988.Google Scholar
47.Chesshire, G. and Henshaw, W.D.Composite overlapping meshes for the solution of partial differential equations, J Computational Physics, 1990, 90, pp 164.Google Scholar
48.Roskam, J.Aircraft design, Roskam Aviation and Engineering Corporation, Rt4, Box 274, Ottawa, Kansas, 66067, US, 1985.Google Scholar
49.Evans, A. and Liner, G. A Wind-Tunnel Investigation of the Aerodynamic Characteristics of a Full-Scale Supersonic-Type Three-Blade Propeller at Mach numbers to 0·96, Tech Rep TR-1375, NACA, 1958.Google Scholar
50.Favier, D., Ettaouil, A. and Maresca, C.Numerical and experimental investigation of isolated propeller wakes in axial flight, J Aircr, 1989, 26, (9), pp 837846, American Institute of Aeronautics and Astronautics.Google Scholar
51.Chae, S., Yee, K., Yang, C., Aoyama, T., Jeong, S. and Obayashi, S.Helicopter rotor shape optimization for the improvement of aeroacoustic performance in hover, J Aircr, 2010, 47, (5), pp 17701783, American Institute of Aeronautics and Astronautics.Google Scholar
52.Biava, M., RANS computations of rotor/fuselage unsteady interactional aerodynamics, PhD. thesis, Politecnico di Milano, Milano, Italy, 2007.Google Scholar
53.Droandi, G., Zanotti, A., Gibertini, G., Grassi, D. and Campanardi, G.Experimental investigation of the rotor-wing aerodynamic interaction in a titlwing aircraft in hover, Aeronaut J, May 2015, 119, 1215, pp 591612.Google Scholar
54.Visingardi, A., Khier, W. and Decours, J.The Blind-Test Activity of TITLAERO Project for the Numerical Aerodyanmic Investigation of a Tilt Rotor, ECCOMAS, 4th European Congress on Computational Methods in Applied Sciences and Engineering, Jyväskylä, Finlande, 24-28 July 2004.Google Scholar
55.Young, L.A. Tilt Rotor Aeroacoustic Model TRAM.: A New Rotorcraft Research Facility, American Helicopter Society International Specialist’s Meeting on Advanced Rotorcraft Technology and Disaster Relief, 21-23 April 1998.Google Scholar
56.Young, L.A. Jr., E.R.B., , Yamauchi, G. and Botha, G. Overview of the Testing of a Small-ScalePro-protor, American Helicopter Society 55th Annual Forum, 25-27 May 1999.Google Scholar
57.Matuska, D., Dale, A. and Lorber, P. Wind Tunnel Test of a Variable-Diameter VDTR. Model, Tech.Rep. CR-177629, NASA, 1994.Google Scholar
58.Stahlhut, C. and Leishman, J.G. Aerodyanamic Design Optimization of Proprotors for Convertible-Rotor Concepts, American Helicopter Society 68th Annual Forum, 1-3 May 2012.Google Scholar
59.Johnson, W.Calculation of Tilt Rotor Aeroacoustic Model TRAM DNW) Performance, Airloads, and Structural Loads, American Helicopter Society Aeromechanics Specialists’ Meeting, Atlanta, Georgia, US, November 2000.Google Scholar