NSU3D Results for the Second AIAA High-Lift Prediction Workshop

被引:8
|
作者
Mavriplis, Dimitri [1 ,2 ]
Long, Michael [1 ]
Lake, Troy [1 ]
Langlois, Marc [3 ]
机构
[1] Univ Wyoming, Dept Mech Engn, Laramie, WY 82071 USA
[2] Univ Wyoming, AIAA, Laramie, WY 82071 USA
[3] Bombardier Aerosp, Adv Aerodynam, Montreal, PQ H4S 2A9, Canada
来源
JOURNAL OF AIRCRAFT | 2015年 / 52卷 / 04期
关键词
MESHES; SOLVER;
D O I
10.2514/1.C033042
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Simulation results for the second AIAA CFD High-Lift Prediction Workshop using the unstructured computational fluid dynamics code NSU3D are presented. The solution algorithms employed in NSU3D for this study are described along with examples of convergence history and computational cost. The geometry used for the simulation consists of the DLR-F11 wing-body with high-lift system deployed in a landing configuration. This geometry is representative of a modern transport aircraft high-lift system that has been tested experimentally over a suitable Reynolds number range. Results are presented from two sets of computational studies, the first performed at the University of Wyoming using standard workshop unstructured meshes, and the second performed at Bombardier Aerospace using in-house generated meshes. In both cases, results are presented for two different turbulence models, allowing an assessment of the sensitivity of the results to grid densities, grid types, and turbulence models. Results consist of computed force and moment coefficients across a range of angles of attack and for two different Reynolds numbers, as well as surface pressure profiles and off-body velocity profiles, all of which are compared with experimental data. The results compare favorably with experimental data and generally fall within the standard deviation of the workshop collective results. Computations using the Spalart-Allmaras turbulence model tend to overpredict the maximum lift value and incidence, while results using the k-omega model tend to underpredict the maximum lift value. The best agreement in terms of force coefficients is observed with the k-omega turbulence model using the Bombardier internally generated meshes.
引用
收藏
页码:1063 / 1081
页数:19
相关论文
共 50 条
  • [21] Transition prediction on the slat of a high-lift system
    Malik, MR
    Lin, RS
    JOURNAL OF AIRCRAFT, 2004, 41 (06): : 1384 - 1392
  • [22] Turbulence modelling techniques for aeroelastic problems: results and comments from the Second AIAA Aeroelastic Prediction Workshop
    Righi, Marcello
    AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2017, 89 (05): : 683 - 691
  • [23] Summary of Propagation Cases of the Second AIAA Sonic Boom Prediction Workshop
    Rallabhandi, Sriram K.
    Loubeau, Alexandra
    JOURNAL OF AIRCRAFT, 2019, 56 (03): : 876 - 895
  • [24] DLR TAU Simulations for the Second AIAA Sonic Boom Prediction Workshop
    Kirz, Jochen
    Rudnik, Ralf
    JOURNAL OF AIRCRAFT, 2019, 56 (03): : 912 - 927
  • [25] Introduction to the Special Section on Second AIAA Sonic Boom Prediction Workshop
    Park, Michael A.
    JOURNAL OF AIRCRAFT, 2019, 56 (03): : 850 - 850
  • [26] USM3D Simulations for the Third AIAA Sonic Boom Prediction Workshop
    Alaa, Elmiligui
    Pandya, Mohagna J.
    Carter, Melissa B.
    Boris, Diskin
    Nayani, Sudheer N.
    JOURNAL OF AIRCRAFT, 2022, 59 (03): : 647 - 659
  • [27] Summary of the 4th High-Lift Prediction Workshop Hybrid RANS/LES Technology Focus Group
    Ashton, Neil
    Batten, Paul
    Cary, Andrew
    Holst, Kevin
    JOURNAL OF AIRCRAFT, 2024, 61 (01): : 86 - 115
  • [28] Summary of the 4th High-Lift Prediction Workshop Hybrid RANS/LES Technology Focus Group
    Ashton, Neil
    Batten, Paul
    Cary, Andrew
    Holst, Kevin
    JOURNAL OF AIRCRAFT, 2023,
  • [29] Nearfield summary and statistical analysis of the second AIAA sonic boom prediction workshop
    Park, Michael A.
    Nemec, Marian
    35th AIAA Applied Aerodynamics Conference, 2017, 2017,
  • [30] Nearfield Summary and Statistical Analysis of the Second AIAA Sonic Boom Prediction Workshop
    Park, Michael A.
    Nemec, Marian
    JOURNAL OF AIRCRAFT, 2019, 56 (03): : 851 - 875