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Conceptual design and numerical studies of active flow control aerofoil based on shape-memory alloy and macro fibre composites

Published online by Cambridge University Press:  04 March 2021

W. Zhang
Affiliation:
College of Aerospace Science and Engineering National University of Defense TechnologyChangshaChina and China Aerodynamics Research and Development CenterMianyangChina
X.T. Nie
Affiliation:
China Aerodynamics Research and Development CenterMianyangChina
X.Y. Gao
Affiliation:
China Aerodynamics Research and Development CenterMianyangChina
W.H. Chen*
Affiliation:
China Aerodynamics Research and Development CenterMianyangChina

Abstract

Active flow control for aerofoils has been proven to be an effective way to improve the aerodynamic performance of aircraft. A conceptual hybrid design with surfaces embedded with Shape-Memory Alloy (SMA) and trailing Macro Fibre Composites (MFC) is proposed to implement active flow control for aerofoils. A Computational Fluid Dynamics (CFD) model has been built to explore the feasibility and potential performance of the proposed conceptual hybrid design. Accordingly, numerical analysis is carried out to investigate the unsteady flow characteristics by dynamic morphing rather than using classical static simulations and complicated coupling. The results show that camber growth by SMA action could cause an evident rise of Cl and Cd in the take-off/landing phases when the Angle-of-Attack (AoA) is less than 10°. The transient tail vibration behaviour in the cruise period when using MFC actuators is studied over wide ranges of frequency, AoA and vibration amplitude. The buffet frequency is locked in by the vibration frequency, and a decrease of 1.66–2.32% in Cd can be achieved by using a proper vibration frequency and amplitude.

Type
Research Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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References

Washburn, A., Gorton, S. and Anders, S. A Snapshot of active flow control research at NASA Langley. In 1st flow control conference, American Institute of Aeronautics and Astronautics: St.Louis, Missouri, 2002.10.2514/6.2002-3155CrossRefGoogle Scholar
Scott, C.S., Joslin, R.D., Seifert, A. and Theofilis, V. Issues in active flow control: theory, control, simulation, and experiment. Prog Aerosp Sci. 2004, 40, (4–5), pp 237289.10.1016/j.paerosci.2004.06.001CrossRefGoogle Scholar
Khan, S., Grigorie, T.L., Botez, R., Mamou, M. and Mébarki, Y. Novel morphing wing actuator control-based particle swarm optimisation. Aeronaut J. 2019, 124, (1271), pp 121.Google Scholar
Maldonado, V., Farnsworth, J., Gressick, W. and Amitay, M. Active control of flow separation and structural vibrations of wind turbine blades. Wind Energy. 2010, 13, (2–3), pp 221237.Google Scholar
Botez, R.M., Kammegne, M.J.T. and Grigorie, L.T. Design, numerical simulation and experimental testing of a controlled electrical actuation system in a real aircraft morphing wing model. Aeronaut J. 2015, 119, (1219), pp 10471072.10.1017/S0001924000011131CrossRefGoogle Scholar
Wu, R., Costas, S., Zhong, S. and Filippone, A. A morphing aerofoil with highly controllable aerodynamic performance. Aeronaut J. 2017, 121, (1235), pp 5472.Google Scholar
Baier, H. and Datashvili, L. Active and morphing aerospace structures-a synthesis between advanced materials, structures and mechanisms. Int J Aeronaut Space Sci. 2011, 12, (3), pp 225240.10.5139/IJASS.2011.12.3.225CrossRefGoogle Scholar
Botez, R.M., Koreanschi, A., Gabor, O.S., Tondji, Y., Guezguez, M., Kammegne, J.T., Grigorie, L.T. and Sandu, D. Numerical and experimental transition results evaluation for a morphing wing and aileron system. Aeronaut J. 2018, 122, (1251), pp 747784.10.1017/aer.2018.15CrossRefGoogle Scholar
Iyyappan, B. Numerical and experimental investigation on aerodynamic characteristics of SMA actuated smart wing model. Int J Eng Technol. 2013, 5, (5), pp 38133818.Google Scholar
Kimaru, J. and Bouferrouk, A. Design, manufacture and test of a camber morphing wing using MFC actuated smart rib. In 2017 8th international conference on mechanical and aerospace engineering (ICMAE), IEEE: Prague, Czech Republic. 2017, pp 791–796.10.1109/ICMAE.2017.8038751CrossRefGoogle Scholar
Scheller, J., Jodin, G., Rizzo, K.J., Duhayon, E., Rouchon, J.F., Triantafyllou, M.S. and Braza, M. A combined smart-materials approach for next-generation airfoils. Solid State Phenomena. 2016, 251, pp 106112.10.4028/www.scientific.net/SSP.251.106CrossRefGoogle Scholar
Jodin, G., Motta, V., Scheller, J., Duhayon, E., Döll, C., Rouchon, J.F. and Braza, M. Dynamics of a hybrid morphing wing with active open loop vibrating trailing edge by time-resolved PIV and force measures. J Fluids Struct. 2017, 74, pp 263290.10.1016/j.jfluidstructs.2017.06.015CrossRefGoogle Scholar
Scheller, J., Chinaud, M., Rouchon, J., Duhayon, E., Cazin, S., Marchal, M. and Braza, M. Trailing-edge dynamics of a morphing NACA0012 aileron at high Reynolds number by high-speed PIV. J Fluids Struct. 2015, 55, pp 4251.Google Scholar
Chinaud, M., Rouchon, J., Duhayon, E., Scheller, J., Cazin, S., Marchal, M. and Braza, M. Trailing-edge dynamics and morphing of a deformable flat plate at high reynolds number by time-resolved PIV. J Fluids Struct. 2014, 47, pp 4154.Google Scholar
Abderahmane, M., Jean, B.T., Jean, F.R., Yannick, H. and Braza, M. Numerical investigation of frequency-amplitude effects of dynamic morphing for a high-lift configuration at high Reynolds number. Int J Numer Methods Heat Fluid Flow. 2019, ahead-of-print.Google Scholar
Kancharla, A.K. and Roy, M. Aerodynamic pressure variation over SMA wire integrated morphing aerofoil. In 49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Schaumburg, IL, 2008.Google Scholar
Szubert, D., Grossi, F., Jimenez, G., Hoarau, Y., Hunt, J.C.R. and Braza, M. Shock-vortex shear-layer interaction in the transonic flow around a supercritical airfoil at high Reynolds number in buffet conditions. J Fluids Struct. 2015, 55, pp 276302.10.1016/j.jfluidstructs.2015.03.005CrossRefGoogle Scholar
Szubert, D., Asproulias, I., Grossi, F., Duvigneau, R., Hoarau, Y. and Braza, M. Numerical study of the turbulent transonic interaction and transition location effect involving optimisation around a supercritical aerofoil. Eur J Mech B/Fluids. 2016, 55, pp 380393.Google Scholar
Cook, P., Mcdonald, H.M.A. and Firmin, M.C.P. Airfoil RAE 2822 pressure distributions and boundary layer and wake measurements, Experimental data base for computer program assessment, AGARD report AR138,1979.Google Scholar
Hartl, D.J., Leal, P. and Stroud, H.R. Experimental multiphysical characterization of an SMA driven, camber morphing owl wing section. In Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XII, Shull, P J, Ed, SPIE: Denver, United States, 2018, pp 36–44.Google Scholar
Han, X., Krajnović, S. and Basara, B. Study of active flow control for a simplified vehicle model using the PANS method. Int J Heat Fluid Flow. 2013, 42, pp 139150.10.1016/j.ijheatfluidflow.2013.02.001CrossRefGoogle Scholar
Oliviu, S.G., Andreea, K., Ruxandra, M.B., Mahmoud, M. and Youssef, M. Numerical simulation and wind tunnel tests investigation and validation of a morphing wing-tip demonstrator aerodynamic performance. Aerosp Sci Technol. 2016, 53, pp 136153.Google Scholar
Shinde, V., Marcel, T., Hoarau, Y., et al. Numerical simulation of the fluid–structure interaction in a tube array under cross flow at moderate and high Reynolds number. J Fluids Struct. 2014, 47, pp 99113.Google Scholar
Brazaa, M., Perrina, R. and Hoarau, Y. Turbulence properties in the cylinder wake at high Reynolds numbers. J Fluids Struct. 2006, 22, pp 757771.Google Scholar
Bourguet, R., Braza, M., Harran, G. and Akoury, R.E. Anisotropic Organised Eddy Simulation for the prediction of non-equilibrium turbulent flows around bodies. J Fluids Struct. 2008, 24, (8), pp 12401251.10.1016/j.jfluidstructs.2008.07.004CrossRefGoogle Scholar
Simiriotis, N., Jodin, G., Marouf, A., Elyakime, P., Hoarau, Y., Hunt, J.C.R., Rouchon, J.F. and Braza, M. Morphing of a supercritical wing by means of trailing edge deformation and vibration at high Reynolds numbers: Experimental and numerical investigation. J Fluids Struct. 2019, 91, p 102676.10.1016/j.jfluidstructs.2019.06.016CrossRefGoogle Scholar
Jean, B.T., Simiriotis, N., Marouf, A., Szubert, D., Asproulias, I., Zilli, D.M., Hoarau, Y., Hunt, J.C.R. and Braza, M. Effects of vibrating and deformed trailing edge of a morphing supercritical airfoil in transonic regime by numerical simulation at high Reynolds number. J Fluids Struct. 2019, 91, p 102595.Google Scholar
Marouf, A., Hoarau, Y., Vos, J.B., Charbonnier, D. and Tekap, Y.B. Evaluation of the aerodynamic performance increase thanks to a morphing A320 wing with high-lift flap by means of CFD Hi-Fi approaches. AIAA Aviation 2019 Forum. Dallas, Texas, 2019.Google Scholar
Barbut, G., Braza, M., Hoarau, Y., Barakos, G., Sévrain, A. and Vos, J.B. Prediction of transonic buffet around a wing with flap. Progress in Hybrid RANS-LES Modelling. Berlin: Springer. 2010, pp 191–204.CrossRefGoogle Scholar
Tian, Y., Gao, S.Q., Liu, P.Q. and Wang, J.J. Transonic buffet control research with two types of shock control bump based on RAE2822 airfoil. Chinese J Aeronaut. 2017, 30, (5), pp 16811696.Google Scholar