Recent Advances in Cavitation Research

Arndt, Roger E. A.

doi:10.1016/b978-0-12-021812-7.50006-7

Cited by 29 publications

(26 citation statements)

References 62 publications

(53 reference statements)

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“…(42) fully agree with the measured values of KREPLIN and ECKELMANN [28]. Assuming that the rms of RH is ARNDT [8] showed that numerous studies indicated the value 2.8 for kw' FAVRE [18] …”

Section: A 2 P'supporting

confidence: 78%

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The effects of turbulence on cavitation inception

Anton¹

1993

La Houille Blanche

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“…(42) fully agree with the measured values of KREPLIN and ECKELMANN [28]. Assuming that the rms of RH is ARNDT [8] showed that numerous studies indicated the value 2.8 for kw' FAVRE [18] …”

Section: A 2 P'supporting

confidence: 78%

“…(0.4-0.5) ô from the solid wall. ARNDT and IpPEN [5,6,8] consider that the only explication for the localization of cavitation incipience at the middle of the boundary layer is the fact that the minimum of pressure fluctuations appears in this zone. (45) - (46) U.…”

Section: -3mentioning

confidence: 99%

The effects of turbulence on cavitation inception

Anton¹

1993

La Houille Blanche

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“…In a flowing liquid, these cavities can take different forms that can be described as travelling bubbles, attached cavities or cavitating vortices. For general information on the subject refer to the reviews of Hammit [10] and Arndt [11].…”

Section: Definitionmentioning

confidence: 99%

Detection of cavitation in hydraulic turbines

Escaler

Egusquiza

Farhat

et al. 2006

Mechanical Systems and Signal Processing

327

146

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An experimental investigation has been carried out in order to evaluate the detection of cavitation in actual hydraulic turbines. The methodology is based on the analysis of structural vibrations, acoustic emissions and hydrodynamic pressures measured in the machine. The proposed techniques have been checked in real prototypes suffering from different types of cavitation. In particular, one Kaplan, two Francis and one Pump-Turbine have been investigated in the field. Additionally, one Francis located in a laboratory has also been tested.First, a brief description of the general features of cavitation phenomenon is given as well as of the main types of cavitation occurring in hydraulic turbines. The work presented here is focused on the most important ones which are the leading edge cavitation due to its erosive power, the bubble cavitation because it affects the machine performance and the draft tube swirl that limits the operation stability.Cavitation detection is based on the previous understanding of the cavity dynamics and its location inside the machine. This knowledge has been gained from flow visualisations and measurements in laboratory devices such as a high-speed cavitation tunnel and a reduced scale turbine test rig. The main techniques are the study of the high frequency spectral content of the signals and of their amplitude demodulation for a given frequency band. Moreover, low frequency spectral content can also be used in certain cases. The results obtained for the various types of cavitation found in the selected machines are presented and discussed in detail in the paper. Conclusions are drawn about the best sensor, measuring location, signal processing and analysis for each type of cavitation, which serve to validate and to improve the detection techniques. r

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“…Depending on the operating conditions many types of cavitation can be observed on a cavitating hydrofoil: bubble, sheet, cloud and vortex cavitation. (Wang et al 2001) According to (Arndt 1981), the main two parameters responsible of the cavitation inception are the density of bubble contained in the fluid and nuclei size.…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis of the Turbulent Flow Structure Induced by the Cavitation Shedding using LES

Kanfoudi

Bellakhal

Ennouri

et al. 2017

JAFM

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To analyze the interaction between the turbulent flow structure with the cavitation shedding dynamics, a three-dimensional unsteady cavitating turbulent flow around the three-dimension NACA009 hydrofoil is investigated in this study. The cavitating flow in has been modeled with a homogeneous mixture of liquid and vapor using LES. The interaction between the cavitation and the fluid vortex is analyzed and discussed. The results demonstrate that the vortex stretching is mainly in the center of the cloud cavity and changes quasiperiodically as the cloud cavity evolves. As a result, the mechanism of the inception of cavitation, re-entrant jet and cavitation cloud shedding are accurately captured and predicted by LES in accordance with the experiment data.

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Recent Advances in Cavitation Research

Cited by 29 publications

References 62 publications

The effects of turbulence on cavitation inception

The effects of turbulence on cavitation inception

Detection of cavitation in hydraulic turbines

Numerical Analysis of the Turbulent Flow Structure Induced by the Cavitation Shedding using LES

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