Recent Advances in Airfoil Self-Noise Passive Reduction

被引:8
|
作者
Amirsalari, Behzad [1 ]
Rocha, Joana [1 ]
机构
[1] Carleton Univ, Dept Mech & Aerosp Engn, 1125 Colonel Dr, Ottawa, ON K1S 5B6, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
aeroacoustics; flow-induced noise; passive noise reduction; optimization; TURBULENT-BOUNDARY-LAYER; LARGE-EDDY SIMULATION; TRAILING-EDGE SERRATIONS; WIND TURBINE; AERODYNAMIC NOISE; COMPUTATIONAL AEROACOUSTICS; SURFACE PRESSURE; GREENS-FUNCTION; TONAL NOISE; ACOUSTIC RADIATION;
D O I
10.3390/aerospace10090791
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Airflow-induced noise prediction and reduction is one of the priorities for both the energy and aviation industries. This review paper provides valuable insights into flow-induced noise computation, prediction, and optimization methods with state-of-the-art efforts in passive noise reduction on airfoils, blades, and wings. This review covers the combination of several approaches in this field, including analytical, numerical, empirical, semi-empirical, artificial intelligence, and optimization methods. Under passive noise reduction techniques, leading and trailing edge treatments, porous materials, controlled diffusion airfoils, morphing wings, surface treatments, and other unique geometries that researchers developed are among the design modification methods discussed here. This work highlights the benefits of incorporating multiple techniques to achieve the best results concerning the desired application and design. In addition, this work provides an overview of the advantages and disadvantages of each tool, with a particular emphasis on the possible challenges when implementing them. The methods and techniques discussed herein will help increase the acoustic efficiency of aerial structures, making them a beneficial resource for researchers, engineers, and other professionals working in aviation noise reduction.
引用
收藏
页数:49
相关论文
共 50 条
  • [11] Stochastic Method for Airfoil Self-Noise Computation in Frequency Domain
    Casalino, Damiano
    Barbarino, Mattia
    AIAA JOURNAL, 2011, 49 (11) : 2453 - 2469
  • [12] SCALING OF AIRFOIL SELF-NOISE USING MEASURED FLOW PARAMETERS
    BROOKS, TF
    MARCOLINI, MA
    AIAA JOURNAL, 1985, 23 (02) : 207 - 213
  • [13] A frequency domain numerical method for airfoil broadband self-noise prediction
    Zhou, Qidou
    Joseph, Phillip
    JOURNAL OF SOUND AND VIBRATION, 2007, 299 (03) : 504 - 519
  • [14] Experimental on self-noise control of airfoil with ridge-like structure
    Cheng, Wen
    Zhang, Cheng-Chun
    Sun, Xiao-Wei
    Shen, Chun
    Wu, Zheng-Yang
    Chen, Zheng-Wu
    Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2024, 54 (08): : 2385 - 2392
  • [15] A Pareto Front Based Evolutionary Model for Airfoil Self-Noise Prediction
    Tahmassebi, Amirhessam
    Gandomi, Amir H.
    Meyer-Baese, Anke
    2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2018, : 909 - 916
  • [17] An Experiment on Reduction of Infrasonic Underwater Self-Noise
    Lee, Seongwook
    Lee, Yong-Kuk
    Kim, Seong-Ryul
    JOURNAL OF THE ACOUSTICAL SOCIETY OF KOREA, 2011, 30 (01): : 17 - 21
  • [18] Numerical simulation on the NACA0018 airfoil self-noise generation
    Jiang, Min
    Li, Xiaodong
    Bai, Baohong
    Lin, Dakai
    THEORETICAL AND APPLIED MECHANICS LETTERS, 2012, 2 (05)
  • [19] Installation effects on airfoil self-noise estimated by direct numerical simulations
    Zhou, Ziyang
    Moreau, Stephane
    Sanjose, Marlene
    JOURNAL OF SOUND AND VIBRATION, 2025, 604
  • [20] Analysis of flow conditions in freejet experiments for studying airfoil self-noise
    Moreau, S
    Henner, M
    Roger, M
    AIAA JOURNAL, 2003, 41 (10) : 1895 - 1905