A Modified RANS Model for Drag Prediction of Practical Configuration with Riblets and Experimental Validation

被引:1
|
作者
Li, Chaoqun [1 ]
Tang, Shuo [1 ]
Li, Yi [1 ]
Geng, Zihai [2 ,3 ]
机构
[1] Northwestern Polytech Univ, Sch Astronaut, Xian 710072, Peoples R China
[2] Chengdu Fluid Dynam Innovat Ctr, Chengdu 610072, Peoples R China
[3] China Aerodynam Res & Dev Ctr, Mianyang 621000, Sichuan, Peoples R China
关键词
flow control; drag-reducing riblets; modified RANS method; wind tunnel experiment validation check; DIRECT NUMERICAL-SIMULATION; TURBULENT-FLOW; REDUCTION; SURFACE; AIRFOIL;
D O I
10.3390/aerospace9030125
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
To reduce the computational cost, the k-w SST turbulence model with Rotation and Curvature correction (SST-RC) is modified to predict the drag of practical aerodynamic configurations mounted with drag-reducing riblets. In the modified model, wall w is reconstructed based on the existing experimental results and becomes a function of riblet geometry, angle of attack, position at the surface, and parameters of computational grids. The modified SST-RC model is validated by existing experimental and numerical examinations. Subsequently, a maximum error of 3.00% is achieved. Furthermore, experimental and numerical studies on a wing-body configuration are conducted in this work. The maximum error between the drag-reducing ratios obtained by numerical simulations and those of experiments is 3.21%. Analysis of numerical results demonstrates a maximum of 5.36% decline in skin friction coefficient for the model with riblets; moreover, the distribution of the pressure coefficient is also changed.
引用
收藏
页数:25
相关论文
共 50 条
  • [1] Prediction of Field Drag Reduction by a Modified Practical Pipe Diameter Model
    Zhao, Jinzhou
    Chen, Pengfei
    Liu, Youquan
    Zhao, Wanwei
    Mao, Jincheng
    CHEMICAL ENGINEERING & TECHNOLOGY, 2018, 41 (07) : 1417 - 1424
  • [2] Experimental validation of numerical drag prediction of novel spray deflector design
    Wielgosz, C.
    Furth, M.
    Datla, R.
    Chung, U.
    Rosen, A.
    Danielsson, J.
    MARINE DESIGN XIII, VOLS 1 & 2, 2018, : 491 - 497
  • [3] Experimental validation of a two equation RANS transitional turbulence model for compressible microflows
    Rehman, Danish
    Morini, Gian Luca
    INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW, 2020, 86 (86)
  • [4] Model error propagation from experimental to prediction configuration
    Subramanian, Abhinav
    Mahadevan, Sankaran
    JOURNAL OF COMPUTATIONAL PHYSICS, 2021, 443 (443)
  • [5] Revised drag force model for the dense CFB riser and the experimental validation
    Wang, Xue-Yao
    Wu, Xue-Zhi
    Jiang, Fan
    Xu, Xiang
    Liao, Liang-Liang
    Fan, Bao-Guo
    Xiao, Yun-Han
    Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics, 2009, 30 (02): : 237 - 240
  • [6] A prediction model for ocular damage - Experimental validation
    Heussner, Nico
    Vagos, Marcia
    Spitzer, Martin S.
    Stork, Wilhelm
    JOURNAL OF THERMAL BIOLOGY, 2015, 52 : 38 - 44
  • [7] Experimental validation of the screw compressor oil drag model for various rotor profiles
    Abdan, Suraj
    Patil, Sumit
    Stosic, Nikola
    Kovacevic, Ahmed
    Smith, Ian
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING, 2023, 238 (06) : 2740 - 2749
  • [8] Prediction and experimental validation of electrical percolation by applying a modified micromechanics model considering multiple heterogeneous inclusions
    Kim, Seong Yun
    Noh, Ye Ji
    Yu, Jaesang
    COMPOSITES SCIENCE AND TECHNOLOGY, 2015, 106 : 156 - 162
  • [9] Pear drying: Experimental validation of a mathematical prediction model
    Guine, Raquel P. F.
    FOOD AND BIOPRODUCTS PROCESSING, 2008, 86 (C4) : 248 - 253
  • [10] Experimental validation of a fast wheel wear prediction model
    Apezetxea, I. S.
    Perez, X.
    Alonso, A.
    WEAR, 2021, 486