Skip to main content
Skip to article control options
No AccessFull-Length Paper

Computational and Experimental Validation of the Active Morphing Wing

Published Online:https://doi.org/10.2514/1.C032262

An advanced computational and experimental analysis has been performed upon a conventional aircraft wing with two outboard morphing partitions that are variable in twist and dihedral angles. Results are generated with the intention of drawing meaningful comparisons with initial trends in aerodynamic and structural efficiency that have been observed in previous optimization studies. Computational results are obtained with the DLR, German Aerospace Center TAU computational fluid dynamics code, both for an aircraft wing in high-speed flight and for a wing modeled at low speed with wind-tunnel wall constraints. An experimental testing has been performed at the University of Bristol 7×5ft low-speed wind tunnel. An outer-twist variation of ±3deg and dihedral angles from planar up to 90 deg C-wing geometries are tested for a range of incidence angles. Results demonstrate varying levels of agreement between each form of analysis method, and offer insight into the aerodynamic and structural tradeoff required to select an optimal configuration.

References

  • [1] Whitcomb R. T., “A Design Approach and Selected Wind-Tunnel Results at High Subsonic Mounted Speeds for Winglets,” NASA TN-D-8260, July 1976. Google Scholar

  • [2] Smith M. J., Komerath N., Ames R. and Wong O., “Performance Analysis of a Wing with Multiple Winglets,” AIAA Paper  2001-2407, June 2001. LinkGoogle Scholar

  • [3] La Roche U. and Palffy S., “Wing-Grid, a Novel Device for Reduction of Induced Drag on Wings,” 20th International Congress of the Aeronautical Sciences (ICAS), Naples, Italy, 1996. Google Scholar

  • [4] Ning S. A. and Kroo I. M., “Tip Extensions, Winglets and C-Wings: Conceptual Design and Optimization,” AIAA Paper  2008-7052, Aug. 2008. Google Scholar

  • [5] Smith D. D., Ajaj R. M., Isikveren A. T. and Friswell M. I., “Multidisciplinary Design Optimization of an Active Non-Planar Polymorphing Wing,” 27th International Congress of the Aeronautical Sciences (ICAS), Nice, France, Sept. 2010. Google Scholar

  • [6] Smith D. D., Ajaj R. M., Isikveren A. T. and Friswell M. I., “Multi-Objective Optimization for the Multiphase Design of Active Polymorphing Wings,” Journal of Aircraft, Vol. 49, No. 4, 2012, pp. 1153–1160. doi:https://doi.org/10.2514/1.C031499 JAIRAM 0021-8669 LinkGoogle Scholar

  • [7] Melin T., “A Vortex Lattice MATLAB Implementation for Linear Aerodynamic Wing Applications,” Master’s Thesis, Dept. of Aeronautics, Royal Inst. of Technology (KTH), Rept.  2000-12, Stockholm, Dec. 2000. Google Scholar

  • [8] Prandtl L., “Applications of Modern Hydrodynamics to Aeronautics,” NACA Rept.  116, 1921. Google Scholar

  • [9] Smith S. C., “A Computational and Experimental Study of Nonlinear Aspects of Induced Drag,” NASA TR-3598, 1996. Google Scholar

  • [10] Schwamborn D., Gardner A. D., von Geyr H., Krumbein A. and Lüdecke H., “Development of the DLR Tau-Code for Aerospace Applications,” Proceedings of the International Conference on Aerospace Science and Technology, Bangalore, India, 2008. Google Scholar

  • [11] Destarac D., Far-Field Drag Extraction from Hybrid Grid Computations, 2nd AIAA CFD Drag Prediction Workshop, Orlando, FL, June 2003. Google Scholar

  • [12] Barlow J. B., Rae W. H., and Pope A., Low-Speed Wind Tunnel Testing, 3rd ed., Wiley-Interscience, New York, 1999, pp. 367–409 Google Scholar

  • [13] RAMPF Tooling GmbH & Co. KG, available online at http://www.ambercomposites.com/downloads/datasheet/wb-1222_tds_gb.pdf [retrieved 25 July 2011]. Google Scholar

  • [14] Stratasys Inc., available online at http://www.stratasys.com/~/media/Main/Secure/Material%20Specs%20MS/Fortus-Material-Specs/Fortus-MS-ABS-M30-01-13-web.ashx [retrieved Feb. 2013]. Google Scholar