Understanding abrupt wing stall with computational fluid dynamics

被引:7
|
作者
Woodson, SH [1 ]
Green, BE
Chung, JJ
Grove, DV
Parikh, PC
Forsythe, JR
机构
[1] USN Air Syst Command, Patuxent River, MD 20670 USA
[2] NASA, Langley Res Ctr, Hampton, VA 23681 USA
[3] USAF Acad, Colorado Springs, CO 80840 USA
来源
JOURNAL OF AIRCRAFT | 2005年 / 42卷 / 03期
关键词
D O I
10.2514/1.2730
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This paper describes the computational-fluid-dynamics efforts and lessons learned during the four-year Abrupt Wing Stall national research program. The paper details the complex nature of the transonic flows encountered by modern U.S. fighter and attack aircraft during transonic maneuvering conditions. Topics include grid resolution, computational memory and processor requirements, turbulence modeling, steady and unsteady calculations, and Reynolds-averaged Navier-Stokes solutions compared with detached-eddy simulations for this highly complex, viscously dominated, shock-induced, massively separated class of flow. Examples include results obtained for F/A-18C, AV-8B, preproduction F/A-18E, and F-16C aircraft undergoing transonic maneuvering conditions. Various flap settings have been modeled and the computational results compared with extensive wind-tunnel data. The comparisons illustrate the results obtained from both structured and unstructured codes. The utility and accuracy of the various computational solvers is evaluated by qualitative comparisons of surface oil flow and pressure-sensitive-paint results obtained in wind tunnels for some of the models as well as by detailed quantitative pressure coefficient data where experimental results exist. Static lift coefficients are compared between the codes as well as the experimental data for each of the aircraft considered in this study.
引用
收藏
页码:578 / 585
页数:8
相关论文
共 50 条
  • [31] Computational Fluid Dynamics Study of Benchmark Supercritical Wing at Flutter Condition
    Jirasek, Adam
    Dalenbring, Mats
    Navratil, Jan
    [J]. AIAA JOURNAL, 2017, 55 (01) : 153 - 160
  • [32] Computational fluid dynamics driven optimization of blended wing body aircraft
    Peigin, Sergey
    Epstein, Boris
    [J]. AIAA JOURNAL, 2006, 44 (11) : 2736 - 2745
  • [33] Static Computational Fluid Dynamics simulations around a specialised delta wing
    Pevitt, Christopher
    Alam, Firoz
    [J]. COMPUTERS & FLUIDS, 2014, 100 : 155 - 164
  • [34] High-Fidelity Computational Fluid Dynamics Methods for the Simulation of Propeller Stall Flutter
    Higgins, Ross J.
    Jimenez-Garcia, Antonio
    Barakos, George N.
    Bown, Nicholas
    [J]. AIAA JOURNAL, 2019, 57 (12) : 5281 - 5292
  • [35] Transonic experimental observations of abrupt wing stall on an F/A-18E model
    McMillin, SN
    Hall, RM
    Lamar, JE
    [J]. JOURNAL OF AIRCRAFT, 2005, 42 (03): : 586 - 599
  • [36] Usefulness of transonic model static data in predicting flight Abrupt-Wing-Stall
    Lamar, JE
    Hall, RM
    Capone, FJ
    McMillin, SN
    [J]. JOURNAL OF AIRCRAFT, 2004, 41 (03): : 464 - 473
  • [37] Computational Fluid Dynamics Simulations for Understanding and Optimizing the AOD Converter
    Wimmer, Erich
    Kahrimanovic, Damir
    Pastucha, Krzysztof
    Voraberger, Bernhard
    Wimmer, Gerald
    [J]. BHM Berg- und Huttenmannische Monatshefte, 2020, 165 (01): : 3 - 10
  • [38] Understanding the fluid dynamics of gastric digestion using computational modeling
    Ferrua, Maria J.
    Singh, R. Paul
    [J]. 11TH INTERNATIONAL CONGRESS ON ENGINEERING AND FOOD (ICEF11), 2011, 1 : 1465 - 1472
  • [39] THE CRITICAL ROLE OF COMPUTATIONAL FLUID-DYNAMICS IN ROTARY-WING AERODYNAMICS
    DAVIS, SS
    CHANG, IC
    [J]. VERTICA, 1987, 11 (1-2): : 43 - 63
  • [40] Minimizing induced drag with wing twist, computational-fluid-dynamics validation
    Phillips, Warren F.
    Fugal, Spencer R.
    Spall, Robert E.
    [J]. Journal of Aircraft, 1600, 43 (02): : 437 - 444