Numerical Study of Effect of Sawtooth Riblets on Low-Reynolds-Number Airfoil Flow Characteristic and Aerodynamic Performance

被引:5
|
作者
Yang, Xiaopei [1 ]
Wang, Jun [1 ]
Jiang, Boyan [1 ]
Li, Zhi'ang [1 ]
Xiao, Qianhao [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Energy & Power Engn, Luoyu Rd 1037, Wuhan 430074, Peoples R China
关键词
airfoil; riblets; computational fluid dynamics; drag reduction; DRAG REDUCTION; TURBULENT-FLOW; SIMULATION; SURFACES;
D O I
10.3390/pr9122102
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Riblets with an appropriate size can effectively restrain turbulent boundary layer thickness and reduce viscous drag, but the effects of riblets strongly depend on the appearance of the fabric that is to be applied and its operating conditions. In this study, in order to improve the aerodynamic performance of a low-pressure fan by using riblet technology, sawtooth riblets on NACA4412 airfoil are examined at the low Reynolds number of 1 x 10(5), and the airfoil is operated at angles of attack (AOAs) ranging from approximately 0 degrees to 12 degrees. The numerical simulation is carried out by employing the SST k-omega turbulence model through the Ansys Fluent, and the effects of the riblets' length and height on aerodynamic performance and flow characteristics of the airfoil are investigated. The results indicate that the amount of drag reduction varies greatly with riblet length and height and the AOA of airfoil flow. By contrast, the riblets are detrimental to the airfoil in some cases. The most effective riblet length is found to be a length of 0.8 chord, which increases the lift and reduces the drag under whole AOA conditions, and the maximum improvements in both are 17.46% and 15.04%, respectively. The most effective height for the riblet with the length of 0.5 chord is 0.6 mm. This also improves the aerodynamic performance and achieves a change rate of 12.67% and 14.8% in the lift and drag coefficients, respectively. In addition, the riblets facilitate a greater improvement in airfoil at larger AOAs. The flow fields demonstrate that the riblets with a drag reduction effect form "the antifriction-bearing" structure near the airfoil surface and effectively restrain the trailing separation vortex. The ultimate cause of the riblet drag reduction effect is the velocity gradient at the bottom of the boundary layers being increased by the riblets, which results in a decrease in boundary thickness and energy loss.
引用
收藏
页数:18
相关论文
共 50 条
  • [22] Aerodynamic Characteristics of a Sphere and a Cylinder in a Supersonic Low-Reynolds-Number Flow
    Gorshkov, A. B.
    FLUID DYNAMICS, 2020, 55 (05) : 689 - 700
  • [24] Flow Reattachment Using Synthetic Jet Actuation on a Low-Reynolds-Number Airfoil
    Feero, Mark A.
    Goodfellow, Sebastian D.
    Lavoie, Philippe
    Sullivan, Pierre E.
    AIAA JOURNAL, 2015, 53 (07) : 2005 - 2014
  • [25] The effect of cavity modified stepped geometry on aerodynamic performance of an airfoil at a low Reynolds number
    Akbiyik, Hurrem
    PHYSICS OF FLUIDS, 2025, 37 (04)
  • [26] Lock-In Behaviors of an Airfoil with Local Excitation in Low-Reynolds-Number Flow
    Kang, Wei
    Dai, Xiangyan
    COMPLEX MOTIONS AND CHAOS IN NONLINEAR SYSTEMS, 2016, 15 : 107 - 135
  • [27] Computational and Experimental Analysis of a High-Performance Airfoil Under Low-Reynolds-Number Flow Condition
    Anyoji, Masayuki
    Nonomura, Taku
    Aono, Hikaru
    Oyama, Akira
    Fujii, Kozo
    Nagai, Hiroki
    Asai, Keisuke
    JOURNAL OF AIRCRAFT, 2014, 51 (06): : 1864 - 1872
  • [28] NUMERICAL STUDY OF TURBULENT PLANE COUETTE-FLOW AT LOW-REYNOLDS-NUMBER
    KRISTOFFERSEN, R
    BECH, KH
    ANDERSSON, HI
    APPLIED SCIENTIFIC RESEARCH, 1993, 51 (1-2): : 337 - 343
  • [29] Numerical evaluation of optimization algorithms for low-Reynolds-number aerodynamic shape optimization
    Secanell, M
    Suleman, A
    AIAA JOURNAL, 2005, 43 (10) : 2262 - 2267
  • [30] Aerodynamic performance of a characteristic airfoil at low-Reynolds number and transonic flow under Mars sand-containing environment
    Liu, Jiachun
    Li, Deyou
    Zuo, Zhigang
    Liu, Chen
    Wang, Hongjie
    PHYSICS OF FLUIDS, 2023, 35 (07)