scholarly journals Acoustic source strength measurements of cavitation noise in a water tunnel

1989 ◽  
Vol 85 (S1) ◽  
pp. S115-S115
Author(s):  
Gerald C. Lauchle ◽  
Silvio Bistafa
Keyword(s):  
Water Tunnel ◽  
Source Strength ◽  
Acoustic Source ◽  
Cavitation Noise

Equalization of acoustic source using multi-pole sources and source strength estimation using inverse method

2016 ◽  
Vol 113 ◽  
pp. 210-220 ◽  
Author(s):  
Reza Madoliat ◽  
Nowrouz Mohammad Nouri ◽  
Ali Rahrovi
Keyword(s):  
Inverse Method ◽  
Source Strength ◽  
Acoustic Source

Noise Generated by Cavitation in Orifice Plates

1989 ◽  
Vol 111 (3) ◽  
pp. 278-289 ◽  
Author(s):  
S. R. Bistafa ◽  
G. C. Lauchle ◽  
G. Reethof
Keyword(s):  
Experimental Investigation ◽  
Flow Velocity ◽  
Dimensional Analysis ◽  
Cavitation Number ◽  
Turbulent Shear ◽  
Scaling Relations ◽  
Source Strength ◽  
Acoustic Source ◽  
Acoustic Performance ◽  
Reciprocity Method

An experimental investigation of the noise generated by cavitation in turbulent shear flows produced by confined sharp-edged orifice plates is reported. The acoustic source strength of cavitation was determined by means of reciprocity type measurements. Two experimental checks of the reciprocity method were performed. Proposed scaling relations, derived from dimensional analysis, were empirically adjusted and used to predict prototype acoustic performance based on the results of model tests. The dependence of the acoustic source strength on flow velocity and cavitation number was determined experimentally and compared with similar results reported in the literature.

scholarly journals Three-Dimensional Acoustic Source Mapping with Different Beamforming Steering Vector Formulations

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Ennes Sarradj
Keyword(s):  
Spatial Resolution ◽  
Three Dimensional ◽  
Sensor Arrays ◽  
Simulated Data ◽  
Theoretical Background ◽  
Source Strength ◽  
Acoustic Source ◽  
Steering Vector ◽  
Correct Estimation ◽  
Deconvolution Techniques

Acoustic source mapping techniques using acoustic sensor arrays and delay-and-sum beamforming techniques suffer from bad spatial resolution at low-aperture-based Helmholtz numbers. This is especially a problem for three-dimensional map grids, when the sensor array is not arranged around the region spanned by the grid but on only one side of it. Then, the spatial resolution of the result map in the direction pointing away from the array is much worse than in the other lateral directions. Consequently, deconvolution techniques need to be applied. Some of the most efficient deconvolution techniques rely on the properties of the spatial beamformer filters used. As these properties are governed by the steering vectors, four different steering vector formulations from the literature are examined, and their theoretical background is discussed. It is found that none of the formulations provide both the correct location and source strength. As a practical example the CLEAN-SC deconvolution methodology is applied to simulated data for a three-source scenario. It is shown that the different steering vector formulations are not equally well suited for three-dimensional application. The two preferred formulations enable the correct estimation of the source location at the cost of a negligible error in the estimated source strength.

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