Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-29T17:01:26.628Z Has data issue: false hasContentIssue false

Detached Eddy Simulation of Complex Separation Flows Over a Modern Fighter Model at High Angle of Attack

Published online by Cambridge University Press:  31 October 2017

Yang Zhang*
Affiliation:
State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang, Sichuan 621000, China Low Speed Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang Sichuan 621000, China
Laiping Zhang*
Affiliation:
State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang, Sichuan 621000, China Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang, Sichuan 621000, China
Xin He*
Affiliation:
State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang, Sichuan 621000, China Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang, Sichuan 621000, China
Xiaogang Deng*
Affiliation:
National University of Defense Technology, Changsha, Hunan 410073, China
Haisheng Sun*
Affiliation:
State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang, Sichuan 621000, China Low Speed Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang Sichuan 621000, China
*
*Corresponding author. Email addresses:[email protected](Y. Zhang), [email protected](L. P. Zhang), [email protected](X. He), [email protected](X. G. Deng), [email protected](H. S. Sun)
*Corresponding author. Email addresses:[email protected](Y. Zhang), [email protected](L. P. Zhang), [email protected](X. He), [email protected](X. G. Deng), [email protected](H. S. Sun)
*Corresponding author. Email addresses:[email protected](Y. Zhang), [email protected](L. P. Zhang), [email protected](X. He), [email protected](X. G. Deng), [email protected](H. S. Sun)
*Corresponding author. Email addresses:[email protected](Y. Zhang), [email protected](L. P. Zhang), [email protected](X. He), [email protected](X. G. Deng), [email protected](H. S. Sun)
*Corresponding author. Email addresses:[email protected](Y. Zhang), [email protected](L. P. Zhang), [email protected](X. He), [email protected](X. G. Deng), [email protected](H. S. Sun)
Get access

Abstract

This paper presents the simulation of complex separation flows over a modern fighter model at high angle of attack by using an unstructured/hybrid grid based Detached Eddy Simulation (DES) solver with an adaptive dissipation second-order hybrid scheme. Simulation results, including the complex vortex structures, as well as vortex breakdown phenomenon and the overall aerodynamic performance, are analyzed and compared with experimental data and unsteady Reynolds-Averaged Navier-Stokes (URANS) results, which indicates that with the DES solver, clearer vortical flow structures are captured and more accurate aerodynamic coefficients are obtained. The unsteady properties of DES flow field are investigated in detail by correlation coefficient analysis, power spectral density (PSD) analysis and proper orthogonal decomposition (POD) analysis, which indicates that the spiral motion of the primary vortex on the leeward side of the aircraft model is highly nonlinear and dominates the flow field. Through the comparisons of flow topology and pressure distributions with URANS results, the reason why higher and more accurate lift can be obtained by DES is discussed. Overall, these results show the potential capability of present DES solver in industrial applications.

Type
Research Article
Copyright
Copyright © Global-Science Press 2017 

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] Spalart, P. R., Strategies for turbulence modelling and simulations, Int. J. Heat Fluid Flow, 21 (2000), 252263.CrossRefGoogle Scholar
[2] Spalart, P. R. and Allmaras, S. R., A one-equation turbulence model for aerodynamic flows, AIAA paper 92-0439, 1992.CrossRefGoogle Scholar
[3] Jiang, Z., Xiao, Z. L. and Shi, Y. P. et al., Constrained large-eddy simulation of wall-bounded compressible turbulent flows, Phys. Fluids, 25(106102) (2013), 128.CrossRefGoogle Scholar
[4] Li, H. and Zhang, S. H., Direct numerical simulation of decaying compressible isotropic turbulence, Chinese J. Theoret. Appl. Mech., 44(4) (2012), 673686.Google Scholar
[5] Fröhlich, J., von Terzi, D., Hybrid LES/RANS methods for the simulation of turbulent flows, Process Aerospace Sci., 44 (2008), 349377.Google Scholar
[6] Spalart, P. R., Jou, W. H. and Strelets, M. et al., Comments on the feasibility of LES for wings and on a hybrid RANS/LES approach, Proceedings of 1st AFOSR International Conference on DNS/LES, Greyden Press, Columbus, 1997.Google Scholar
[7] Strelets, M., Detached eddy simulation of massively separated flows, AIAA paper 2001-0879, 2001.Google Scholar
[8] Mittal, R. and Moin, P., Suitability of upwind-biased finite difference schemes for large-eddy simulation of turbulent flows, AIAA J., 35(8) (1997), 14151417.Google Scholar
[9] Bui, T. T., A parallel, finite-volume algorithm for large-eddy simulation of turbulent flow, Comput. Fluids, 29(8) (2000), 877915.Google Scholar
[10] Travin, A., Shur, M. and Strelets, M. et al., Physical and numerical upgrades in the detachededdy simulation of complex turbulent flows, Advances in LES of Complex Flows, Springer-Verlag, Berlin, Heidelberg, 2004.Google Scholar
[11] Xiao, L. H., Xiao, Z. X. and Duan, Z. W. et al., Improved-Delayed-Detached-Eddy simulation of cavity-Induced transition in hypersonic boundary layer, Proceedings of The Eighth International Conference on Computational Fluid Dynamics, ICCFD8-2014-0247, pp. 1055–1073, Chengdu, China, 2014.Google Scholar
[12] Deng, X. B., Zhao, X.H. and Yang, W. et al., Dynamic adaptive upwindmethod and its applications in RANS/LES hybrid simulations, Proceedings of The Eighth International Conference on Computational Fluid dynamics, ICCFD8-2014-0164, pp. 807–814, Chengdu, China, 2014.Google Scholar
[13] Baker, T. J., Mesh generation: Art or Science?, Progress Aerospace Sci., 41(1) (2005), 2963.Google Scholar
[14] Li, Z. Z., Yu, X. J. and Zhu, J. et al., A Runge Kutta discontinuous Galerkin method for Lagrangian compressible Euler equations in two-dimensions, Commun. Comput. Phys., 15(4) (2014), 11841206.CrossRefGoogle Scholar
[15] Zhang, L. P., Liu, W. and He, L. X. et al., A class of hybrid DG/FV methods for conservation laws I: Basic formulation and one-dimensional systems, J. Comput. Phys., 231(4) (2012), 10811103.Google Scholar
[16] Zhang, L. P., Liu, W. and He, L. X. et al., A class of hybrid DG/FV methods for conservation laws II: Two-dimensional cases, J. Comput. Phys., 231(4) (2012), 11041120.Google Scholar
[17] Zhang, L. P., Liu, W. and He, L. X. et al., A class of hybrid DG/FV methods for conservation laws III: Two-dimensional Euler equations, Commun. Comput. Phys., 12(1) (2012), 284314.Google Scholar
[18] Wang, Z. J., Spectral (finite) volume method for conservation laws on unstructured grids I: basic formulation, J. Comput. Phys., 178(2) (2002), 210251.Google Scholar
[19] Wang, Z. J. and Liu, Y., The spectral differencemethod for the 2D Euler equations on unstructured grids, AIAA paper 2005-5112, 2005.Google Scholar
[20] Huynh, H. T., A reconstruction approach to high-order schemes including discontinuous Galerkin for diffusion, AIAA paper 2009-403, 2009.Google Scholar
[21] Zhang, Y., Zhang, L. P., He, X. and Deng, X. G., Detached eddy simulation based on unstructured and hybrid grid, Chinese Journal of Aeronautics, 36(9) (2015), 29002910.Google Scholar
[22] Zhang, Y., Zhang, L. P., He, X. and Deng, X. G., An improved second-order finite-volume algorithm for detached-eddy simulation based on hybrid grids, Commun. Comput. Phys., 20(2) (2016), 459485.Google Scholar
[23] Menter, F., Zonal two-equation k-ω turbulence models for aerodynamic flows, AIAA paper 93-2906, 1993.CrossRefGoogle Scholar
[24] Gritskevich, M. S., Garbaruk, A. V. and Schütze, J. et al., Development of DDES and IDDES formulations for the k-ω shear stress transport model, Flow Turbul. Combust., 88(3) (2012), 431449.Google Scholar
[25] Sozer, E., Brehm, C. and Kiris, C. C., Gradient calculation methods on arbitrary polyhedral unstructured meshes for cell-centered CFD solvers, AIAA paper 2014-1440, 2014.Google Scholar
[26] Roe, P. L., Approximate Riemann solvers, parameter vectors, and difference schemes, J. Comput. Phys., 43 (1981), 357372.CrossRefGoogle Scholar
[27] Zhang, L. P. and Wang, Z. J., Ablock LU-SGS implicit dual time-stepping algorithmfor hybrid dynamic meshes, Comput. Fluids, 33(7) (2004), 891916.CrossRefGoogle Scholar
[28] He, X., Zhang, L. P. and Zhao, Z. et al., Research and development of structured/unstructured hybrid CFD software, Transactions of Nanjing University of Aeronautics & Astronautics, 30(S) (2013), 116120.Google Scholar
[29] He, X., Zhang, L. P. and Zhao, Z. et al., Validation of HyperFLOW in subsonic and transonic flow, Acta Aerodynamica Sinica, 34(2) (2016), 267275.Google Scholar
[30] Liu, J., Sun, H. S., Huang, Y., Jiang, Y. and Xiao, Z. X., Numerical investigation of an advanced aircraft model during pitching motion at high incidence, Sci. China Tech. Sci., 59(2) (2016), 276288.Google Scholar
[31] Payne, F. M., Ng, T. T. and Nelson, R. C., Visualization and flow surveys of the leading edge vortex structure on delta wing platforms, AIAA paper 86-0330, 1986.Google Scholar
[32] Meyer, K. E., Pedersen, J. M., and Özcan, O., A turbulent jet in crossflow analysed with proper orthogonal decomposition, J. Fluid Mech., 583 (2007), 199227.Google Scholar