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
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