Advertisement

Numerical Investigations of the Jaxa High-Lift Configuration Standard Model with MFlow Solver

  • Jiangtao Chen
  • Jian Zhang
  • Jing Tang
  • Yaobing Zhang
Chapter

Abstract

Numerical investigations of the Jaxa high-lift configuration Standard Model from the 3rd AIAA CFD High Lift Prediction Workshop are performed with the in-house solver MFlow. The solver is based on a cell-centered, finite-volume method and is capable of handling various element types. Hybrid grids provided by the committee are used in the simulations. The performance of massively parallel computing and force/moment predictions are the two emphases of this chapter. The speedup rate of parallel computations is satisfactory, only deviating obviously from the theoretical rate for computations on 3,200 or more processors. The efficiency of parallel computations remains greater than 75%, even for computation on 6,400 processors. The force and moment prediction is then analyzed in detail. The initialization of the flow field plays an important role in the predictions of high-lift configurations. The simulation initiated with a converged flow field obtained at a lower angle of attack achieves better agreement with experiment compared with predictions initiated with freestream values, in terms of a larger maximum-lift coefficient. The drag-and-pitching-moment prediction is also improved. The solver shows good agreement with experiment at lower angles of attack, but more attention is needed at angles of attack near and beyond stall.

Nomenclature

\(\alpha \)

=  angle of attack

\(c_{ref }\)

=  mean aerodynamic chord

Ma

=  Mach number

\(Re_{c}\)

=  Reynolds number based on \(c_{ref}\)

\(T_{\infty }\)

=  free stream temperature

\(P_{\infty }\)

=  free stream static pressure

\(\eta \)

=  fraction of wing span

\(C_{L }\)

=  lift coefficient

\(C_{{L}\_{max}}\)

=  maximum value of lift coefficient

\(C_{D }\)

=  drag coefficient

\(C_{M }\)

=  pitching-moment coefficient

\(C_{p }\)

=  pressure coefficient

\(C_{f }\)

=  skin-friction coefficient

\(C_{fx }\)

=  streamwise component of skin-friction coefficient

References

  1. 1.
    van Dam, C.P.: The aerodynamic design of multi-element high-lift systems for transport airplanes. Prog. Aerosp. Sci 38(2), 101–144 (2002).  https://doi.org/10.1016/S0376-0421(02)00002-7
  2. 2.
    Rumsey, C.L., Ying, S.X.: Prediction of high-lift: review of present CFD capability. Prog. Aerosp. Sci. 38(2), 145–180 (2002).  https://doi.org/10.1016/S0376-0421(02)00003-9CrossRefGoogle Scholar
  3. 3.
    Rumsey, C.L., Long, M., Stuever, R.A., Wayman, T.R.: Summary of the First AIAA CFD High-lift Prediction Workshop, 49th AIAA Aerospace Sciences Meeting, AIAA Paper 2011-0939, Jan 2011Google Scholar
  4. 4.
    Long, M., Mavriplis, D.: NSU3D Results for the First AIAA High-lift Prediction Workshop, 49th AIAA Aerospace Sciences Meeting, AIAA Paper 2011-0863, Jan 2011Google Scholar
  5. 5.
    Park, M.A., Lee-Rausch, E.M., Rumsey, C.L.: FUN3D and CFL3D Computations for the First High-Lift Prediction Workshop, 49th AIAA Aerospace Sciences Meeting, AIAA Paper 2011-0936, Jan 2011Google Scholar
  6. 6.
    Crippa, S., Wilkendingy, S.M., Rudnik, R.: DLR Contribution to the First High-lift Prediction Workshop, 49th AIAA Aerospace Sciences Meeting, AIAA Paper 2011-938, Jan 2011Google Scholar
  7. 7.
    Sclafani, A.J., Slotnick, J.P., Vassberg, J.C., Pulliam, T.H., Lee, H.C.: OVERFLOW Analysis of the NASA Trap Wing Model from the First High-lift Prediction Workshop, 49th AIAA Aerospace Sciences Meeting, AIAA Paper 2011-866, Jan 2011Google Scholar
  8. 8.
    Johnson, P.L., Jones, K.M., Madson, M.D.: Experimental investigation of a simplified 3D high-lift configuration in support of CFD validation. In: 18th Applied Aerodynamics Conference, AIAA Paper 2000-4217, Aug 2000Google Scholar
  9. 9.
    Hannon, J.A., Washburn, A.E., Jenkins, L.N., Watson, R.D.: Trapezoidal wing experimental repeatability and velocity profiles in the 14- by 22-foot subsonic tunnel (Invited). In: 50th AIAA Aerospace Sciences Meeting, AIAA Paper 2012-0706, Jan 2012Google Scholar
  10. 10.
    Rumsey, C.L., Slotnick, J.P., Long, M., Stuever, R.A., Wayman, T.R.: Summary of the first AIAA CFD high-lift prediction workshop. J. Aircr. 48(6), 2068–2079 (2011).  https://doi.org/10.2514/1.C031447CrossRefGoogle Scholar
  11. 11.
    Rumsey, C.L., Slotnick, J.P.: Overview and summary of the second AIAA high-lift prediction workshop. J. Aircr. 52(4), 1006–1025 (2015)CrossRefGoogle Scholar
  12. 12.
    Murayama, M., Yamamoto, K., Ito, Y., Hirai, T., Tanaka, K.: Japan aerospace exploration agency studies for the second high-lift prediction workshop. J. Aircr. 52(4), 1026–1041 (2015)CrossRefGoogle Scholar
  13. 13.
    Chen, J.T., Zhang, Y.B., Zhou, N.C., Deng, Y.Q.: Numerical investigations of the high-lift configuration with MFlow solver. J. Aircr. 52(4), 1051–1062 (2015)CrossRefGoogle Scholar
  14. 14.
    Mavriplis, D., Long, M., Lake, T., Langlois, M.: NSU3D results for the second AIAA high-lift prediction workshop. J. Aircr. 52(4), 1063–1081 (2015)CrossRefGoogle Scholar
  15. 15.
    Coder, J.G.: OVERFLOW analysis of the DLR-F11 high-lift configuration including transition modeling. J. Aircr. 52(4), 1082–1097 (2015)CrossRefGoogle Scholar
  16. 16.
    Lee-Rausch, E.M., Rumsey, C.L., Park, M.A.: Grid-adapted FUN3D computations for the second high-lift prediction workshop. J. Aircr. 52(4), 1098–1111 (2015)CrossRefGoogle Scholar
  17. 17.
    Escobar, J.A., Suarez, C.A., Silva, C., López, O.D., Velandia, J.S., Lara, C.A.: Detached-Eddy simulation of a wide-body commercial aircraft in high-lift configuration. J. Aircr. 52(4), 1112–1121 (2015)CrossRefGoogle Scholar
  18. 18.
    Blazek, J.: Computational Fluid Dynamics: Principles and Applications, pp. 1–4. Elsevier Science Ltd., Oxford (2001)zbMATHGoogle Scholar
  19. 19.
    Ito, T., Yokokawa, Y., Ura, H., Kato, H., Mitsuo, K., Yamamoto, K.: High-lift device testing in JAXA 6.5M X 5.5M low-speed wind tunnel. In: AIAA Paper 2006-3643 (2006)Google Scholar
  20. 20.
    Yokokawa, Y., Murayama, M., Ito, T., Yamamoto, K.: Experiment and CFD of a high-lift configuration civil transport aircraft model. In: AIAA Paper 2006-3452 (2006)Google Scholar
  21. 21.
    Yokokawa, Y., Murayama, M., Uchida, H., Tanaka, K., Ito, T., Yamamoto, K.: Aerodynamic influence of a half-span model installation for high-lift configuration experiment. In: 48th AIAA Aerospace Sciences Meeting, AIAA paper 2010-684, Jan 2010Google Scholar
  22. 22.
    Diskin, B., Thomas, J. L.: Comparison of node-centered and cell-centered unstructured finite volume discretizations: inviscid fluxes. AIAA J. 49(4), 836–854 (2011).  https://doi.org/10.2514/1.J050897CrossRefGoogle Scholar
  23. 23.
    Venkatakrishnan, V.: On the accuracy of limiters and convergence to steady-state solutions. In: 31st Aerospace Sciences Meeting, AIAA Paper 1993-0880, Jan 1993Google Scholar
  24. 24.
    Weiss, J.M., Smith, W.A.: Preconditioning applied to variable and constant density flows. AIAA J. 33(11), 2050–2057 (1995).  https://doi.org/10.2514/3.12946CrossRefGoogle Scholar
  25. 25.
    Spalart, P.R., Allmaras, S.R.: A one-equation turbulence model for aerodynamic flows. In: 30th Aerospace Sciences Meeting and Exhibit, AIAA Paper 1992-0439, Jan 1992.  https://doi.org/10.2514/6.1992-439
  26. 26.
    Karypis, G., Kumar, V.: A fast and high quality multilevel scheme for partitioning irregular graphs. SIAM J. Sci. Comput. 20(1), 359–392 (1998)MathSciNetCrossRefGoogle Scholar
  27. 27.
    Sheke, S., Kalyan, W.: Parallel multigrid solver for Navier-Stokes equation using OpenMPI. Int. J. Comput. Sci. Trends Technol. 3(5), 131–134 (2015)Google Scholar
  28. 28.
    Berger, M.J., Aftosmis, M.J., Marshall, D.D.: Performance of a new CFD Flow solver using a hybrid programming paradigm. J. Parallel Distrib. Comput. 65(4), 414–423 (2005)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Jiangtao Chen
    • 1
  • Jian Zhang
    • 1
  • Jing Tang
    • 1
  • Yaobing Zhang
    • 1
  1. 1.China Aerodynamics Research and Development CenterMianyangPeople’s Republic of China

Personalised recommendations