Application of Hybrid Method for Aerodynamic Noise Prediction

2011 ◽  
Author(s):  
L. Yu ◽  
W. P. Song ◽  
Jiachun Li ◽  
Song Fu
2017 ◽  
Author(s):  
Rahul Gurav ◽  
Kishor D Udawant ◽  
Ramkumar Rajamanickam ◽  
N V Karanth ◽  
S R Marathe

2006 ◽  
Vol 2006.2 (0) ◽  
pp. 439-440
Author(s):  
Yasushi SHIGENAGA ◽  
Shigehisa FUNABASHI ◽  
Masatoshi WATANABE ◽  
Yoshihiro TAKADA

2011 ◽  
Vol 52-54 ◽  
pp. 1388-1393
Author(s):  
Jun Tao ◽  
Gang Sun ◽  
Ying Hu ◽  
Miao Zhang

In this article, four observation points are selected in the flow field when predicting aerodynamic noise of a multi-element airfoil for both a coarser grid and a finer grid. Numerical simulation of N-S equations is employed to obtain near-field acoustic information, then far-field acoustic information is obtained through acoustic analogy theory combined with FW-H equation. Computation indicates: the codes calculate the flow field in good agreement with the experimental data; The finer the grid is, the more stable the calculated sound pressure level (SPL) is and the more regularly d(SPL)/d(St) varies.


2014 ◽  
Vol 614 ◽  
pp. 428-431 ◽  
Author(s):  
Yong Ou Zhang ◽  
Tao Zhang ◽  
Tian Yun Li

A hybrid numerical method of combining Large Eddy Simulation (LES) and Lighthill’s acoustic analogy theory is utilized to simulate the flow-induced noise at low Mach numbers. The aerodynamic noise generated by flow through a cavity, which is similar to a valve, is simulated and the results are validated by comparing with the open literature. In the simulation, the turbulent flow is computed with LES. After this, the flow field simulation results are used to compute the flow-induced noise with Lighthill’s acoustic analogy theory based on the commercial software ACTRAN. Finally, the simulation results of the flow-induced noise, including the sound pressure level and the peak frequencies, are analyzed and compared with experimental data. It is validated that the hybrid method of combining LES and Lighthill’s acoustic analogy theory used in this paper is feasible and reliable in engineering applications.


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