2017
DOI: 10.1007/s11630-017-0908-9
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Statistical characteristics of suction pressure signals for a centrifugal pump under cavitating conditions

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Cited by 27 publications
(14 citation statements)
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“…At present, there are several methods for detecting cavitation inception that are the energy method [5], optical method [6], surface coating method [7], electrical resistance method [8], acoustic emission technology [9,10], and vibroacoustic method [11,12]. With a head drop of 3% or an efficiency drop of 1% as the criterion, the energy method could cause an erroneous estimate because actually the cavitation has developed to a certain extent under these conditions.…”
Section: Introductionmentioning
confidence: 99%
“…At present, there are several methods for detecting cavitation inception that are the energy method [5], optical method [6], surface coating method [7], electrical resistance method [8], acoustic emission technology [9,10], and vibroacoustic method [11,12]. With a head drop of 3% or an efficiency drop of 1% as the criterion, the energy method could cause an erroneous estimate because actually the cavitation has developed to a certain extent under these conditions.…”
Section: Introductionmentioning
confidence: 99%
“…With the development of acoustic field calculating method, there are three means for noise calculation. [19][20][21] (1) The direct calculating method-the basic idea is to solve the noise directly by hydrodynamics and it can only be solved by detached eddy simulation (DES) and large eddy simulation (LES) methods. (2) Semi-empirical model method-the basic idea is to solve the flow field information based on Reynolds average equation first and acoustic field is then solved based on semi-empirical formula.…”
Section: Introductionmentioning
confidence: 99%
“…It is necessary to verify the independence of the centrifugal pump grid [21][22][23]. Generally speaking, if the geometry model is correctly meshed, the Reynolds-Average Navier-Stokes-based turbulence simulation result will not fluctuate significantly as the number of model grids increases.…”
Section: Methods Validationmentioning
confidence: 99%