Investigation of Cavitation Models for Steady and Unsteady Cavitating Flow Simulation

Tran, Tan Dung; Nennemann, Bernd; Vu, Thi Thu Ha; Guibault, François

doi:10.5293/ijfms.2015.8.4.240

Cited by 15 publications

(5 citation statements)

References 38 publications

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“…Because turbulence models are constructed for single-phase flow, CoutierDelgosha et al (2003) proposed a correction for the turbulent viscosity for unsteady cavitation calculations. This correction is successfully applied in the recent study of Tran et al (2015) for the hydrofoil case and by Zhang et al (2015) for the centrifugal pump case. However, in this work, the turbulence model is used in its original form.…”

mentioning

confidence: 99%

Prediction of Cavitation Performance of Radial Flow Pumps

Kaya¹,

Ayder

2017

JAFM

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Cavitation is a major problem in pump design and operation because this phenomenon may lead to various types of instabilities, including hydraulic performance loss and catastrophic damage to the pump material caused by bubble collapse. Therefore, it is critical to predict the cavitation performance of the pump in the design phase itself. The motivation of this study is to develop a systematic methodology to calculate the cavitation performance of radial flow pumps. In the first step of the present work, a cavitating nozzle flow case for which the bubble dynamic behavior is accurately resolved in literature is studied numerically. Subsequently, the capabilities of three cavitation models, implemented in the commercial code Fluent, are evaluated for three radial flow pumps designed at specific speeds ns = 10.4, 22.4, and 34.4. The numerical results are validated with global quantities based on net positive suction head (NPSH) measurements. The results led to the determination of reasonably accurate NPSH values for the defined range of specific speeds.

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confidence: 99%

Prediction of Cavitation Performance of Radial Flow Pumps

Kaya¹,

Ayder

2017

JAFM

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“…Furthermore, it can be inferred from several simulation comparisons [25,26] that the model parameters cannot reflect the physical characteristics sufficiently because the empirical coefficients in specified cavitation model sometimes need to be recalibrated for different flow conditions. Also, the results calculated by different cavitation models present respective tendencies under the same experimental condition [27,28]. We speculate the main reasons causing these deviations come from two sides.…”

Section: Introductionmentioning

confidence: 67%

Development of a Novel Nonlinear Dynamic Cavitation Model and Its Numerical Validations

Haidong Yu,

Xiaobo Quan,

Haipeng Wei

et al. 2024

AAMM

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Aiming at modeling the cavitation bubble cluster, we propose a novel nonlinear dynamic cavitation model (NDCM) considering the second derivative term in Rayleigh-Plesset equation through strict mathematical derivation. There are two improvements of the new model: i) the empirical coefficients are eliminated by introduction of the nonuniform potential functions of ψ v and ψ c for growth and collapse processes respectively, and ii) only two model parameters are required, which both base on physical quantities-the Blake critical radius R b and the average maximum growth radius R m . The corresponding cavitation solver was developed by using OpenFOAM in which we implemented the modified momentum interpolation (MMI) method to ensure that the calculated results are independent of time step size. Three validation cases, namely numerical bubble cluster collapse, ultrasonic horn experiment, and hydrodynamic cavitation around slender body are employed. The results indicate that ψ v and ψ c can reveal the nonlinear characteristics for cavity accurately, and R b and R m can reflect the relevance between cavitation model and actual physical quantities. Moreover, it is discussed the potentiality of NDCM that is generally applied on the cavitating flow possessing with dispersed bubbly cloud.

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“…In the last decades several CFD approaches have been developed to numerically investigate cavitating flow phenomena. A valuable review of different approaches is for instance provided by [13] and [14] and references therein. Among all the approaches, the most widely applied today is probably the socalled homogeneous transport-equation based model.…”

Section: Introductionmentioning

confidence: 99%

“…The evaluation of the variable density field is based on an equation for void ratio with the source terms modelling the mass transfer rate due to cavitation, generally known as mass transfer model. In the literature there are available several mass transfer models relying on tunable parameters [14] even though interesting solutions for overcoming empiricism have for instance been proposed by [15] and [16].…”

Section: Introductionmentioning

confidence: 99%

Numerical Predictions of Cavitating Flow around a Marine Propeller and Kaplan Turbine Runner with Calibrated Cavitation Models

Morgut¹,

Jošt²,

Škerlavaj³

et al. 2018

SV-JME

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Cavitating phenomena, which may occur in many industrial systems, can be modelled using several approaches. In this study a homogeneous multiphase model, used in combination with three previously calibrated mass transfer models, is evaluated for the numerical prediction of cavitating flow around a marine propeller and a Kaplan turbine runner. The simulations are performed using a commercial computational fluid dynamics (CFD) solver and the turbulence effects are modelled using, alternatively, the Reynolds averaged Navier Stokes (RANS) and scale adaptive simulation (SAS) approaches. The numerical results are compared with available experimental data. In the case of the propeller the thrust coefficient and the sketches of cavitation patterns are considered. In the case of the turbine the efficiency and draft tube losses, along with the cavitation pattern sketches, are compared. From the overall results it seems that, for the considered systems, the three different mass transfer models can guarantee similar levels of accuracy for the performance prediction. For a very detailed investigation of the fluid field, slight differences in the predicted shapes of the cavitation patterns can be observed. In addition, in the case of the propeller, the SAS simulation seems to guarantee a more accurate resolution of the cavitating tip vortex flow, while for the turbine, SAS simulations can significantly improve the predictions of the draft tube turbulent flow. Keywords: cavitation, marine propeller, Kaplan turbine, mass transfer models, RANS, SAS Highlights • CFD simulations of cavitating flow around a marine propeller and Kaplan turbine runner. • Homogeneous model used in combination with three previously calibrated mass transfer models. • Turbulence modelled using RANS and SAS approaches. • Calibrated mass transfer models guarantee similar levels of accuracy. • SAS approach improves the local flow field resolution.

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Investigation of Cavitation Models for Steady and Unsteady Cavitating Flow Simulation

Cited by 15 publications

References 38 publications

Prediction of Cavitation Performance of Radial Flow Pumps

Prediction of Cavitation Performance of Radial Flow Pumps

Development of a Novel Nonlinear Dynamic Cavitation Model and Its Numerical Validations

Numerical Predictions of Cavitating Flow around a Marine Propeller and Kaplan Turbine Runner with Calibrated Cavitation Models

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