An Evaluation of the Lighthill Analogy for Jet Mixing Noise Generation: Using LV Turbulence, Source Location and Spectral Noise Data

Author(s):  
J. C. Lau ◽  
B. J. Tester
AIAA Journal ◽  
2001 ◽  
Vol 39 ◽  
pp. 1261-1269 ◽  
Author(s):  
Christopher K. W. Tam ◽  
Nikolai Pastouchenko ◽  
Laurent Auriault

2000 ◽  
Author(s):  
Christopher Tam ◽  
Nikolai Pastouchenko ◽  
Laurent Auriault

1997 ◽  
Author(s):  
Kingo Yamamoto ◽  
Joseph Wat ◽  
Thomas Austin ◽  
Robert Golub ◽  
Kingo Yamamoto ◽  
...  
Keyword(s):  

1995 ◽  
pp. 379-384
Author(s):  
K. Kailasanath ◽  
J. P. Boris ◽  
A. M. Landsberg

2014 ◽  
Vol 9 (3) ◽  
pp. JFST0044-JFST0044
Author(s):  
Tatsuya ISHII ◽  
Shunji ENOMOTO ◽  
Satoru NAKAMURA ◽  
Hitoshi ISHIKAWA

Author(s):  
Radu S. Curiac ◽  
Sumit Singhal

Noise in large high voltage induction motors (500Hp–18000Hp) may be airborne or magnetic in nature. Usually, large high voltage induction motors are custom built and tailored to meet customer’s demand. Since every motor is unique in its design, it is imperative to predict accurately the magnetic noise generation during design phase, this way avoiding expensive rework cost and not loosing the customer confidence. Stator – rotor mechanical design, along with careful electrical coil design, can significantly cut down magnetic noise in an induction motor. This paper discusses the various causes and control of magnetic noise in large induction motors. Theoretical noise predictions in large induction motors, along with measured experimental noise data, are presented.


2000 ◽  
Author(s):  
A. Krothapalli ◽  
L. Venkatakrishnan ◽  
L. Lourenco

2017 ◽  
Vol 141 (2) ◽  
pp. 1203-1213 ◽  
Author(s):  
Carlos R. S. Ilário ◽  
Mahdi Azarpeyvand ◽  
Victor Rosa ◽  
Rod H. Self ◽  
Júlio R. Meneghini

2020 ◽  
Author(s):  
Jörn Lothar Sesterhenn ◽  
Juan Jose Peña Fernández ◽  
Valeria Cigala ◽  
Ulrich Küppers ◽  
Don Dingwell

<p>Explosive volcanic eruptions emanate complex acoustic signals. They<br>are influenced by several parameters, most of most of which are highly<br>unconstrained in volcanic setting.</p><p>We investigate the acoustics of starting jets analogous to<br>volcanic jets at high Mach numbers and with different nozzle<br>geometries, in a controlled environment. For the first time in<br>volcanic analog studies, an anechoic chamber is used to eliminate<br>contamination of the signals by reflections from any wall or<br>obstacle.  The analysis concentrates on the identification of the<br>principal jet noise components including: compression waves, vortex<br>ring noise, turbulent jet mixing noise,  broadband shock noise and<br>screech. We employed a shock tube apparatus and signals were recorded<br>using a microphone array.  Employing wavelet analysis, we have<br>identified the noise sources in both time- and frequency-space.</p><p>We have identified the principal sound sources of the jet in<br>time-frequency space and have analyzed their behaviour with respect to<br>changes in pressure ratio $p/p_\infty$ ,non-dimensional mass supply<br>L/D and exit-to-throat area ratio.</p><p>We find that at higher pressure ratios the peak frequency of the<br>broadband shock noise is noticeably lower whereas the amplitude is<br>higher. The non-dimensional mass supply controls whether a jet forms<br>and its blowing duration and maximum velocity. The nozzle geometry has<br>a markable effect on delay of the shock-shear layer-vortex ring<br>interaction with respect to the compression wave.</p><p>Changes in parameters of the starting jet leave a clear and<br>interpretable trace in the observed sound pattern. This quantitative<br>parametrisation of these effects is essential for utilizing these<br>findings as well as field observations for the solution of the inverse<br>problem in the lab and in nature.</p><p> </p>


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