Numerical modelling and prediction of cavitation erosion

Peters, A.; Sagar, Hemant; Lantermann, Udo; Moctar, Ould el

doi:10.1016/j.wear.2015.06.009

Cited by 89 publications

(42 citation statements)

References 19 publications

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“…To determine the erosion intensity from such an impact, Peters et al [34] proposed a dimensionless intensity coefficient c intensity , which relates the local jet velocity u jet to the critical velocity u crit , as well as the water hammer pressure p hammer to the pressure needed to reach the limit, before which deformation starts to occur. It is defined as follows:…”

Section: Erosion Model 2 This Model By Dular and Coutier-mentioning

confidence: 99%

On the Applicability of Cavitation Erosion Risk Models With a URANS Solver

Melissaris

Bulten

Terwisga

2019

Journal of Fluids Engineering

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In the maritime industry, cavitation erosion prediction becomes more and more critical, as the requirements for more efficient propellers increase. Model testing is yet the most typical way a propeller designer can, nowadays, get an estimation of the erosion risk on the propeller blades. However, cavitation erosion prediction using computational fluid dynamics (CFD) can possibly provide more information than a model test. In the present work, we review erosion risk models that can be used in conjunction with a multiphase unsteady Reynolds‐averaged Navier–Stokes (URANS) solver. Three different approaches have been evaluated, and we conclude that the energy balance approach, where it is assumed that the potential energy contained in a vapor structure is proportional to the volume of the structure, and the pressure difference between the surrounding pressure and the pressure within the structure, provides the best framework for erosion risk assessment. Based on this framework, the model used in this study is tested on the Delft Twist 11 hydrofoil, using a URANS method, and is validated against experimental observations. The predicted impact distribution agrees well with the damage pattern obtained from paint test. The model shows great potential for future use. Nevertheless, it should further be validated against full scale data, followed by an extended investigation on the effect of the driving pressure that leads to the collapse.

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Section: Erosion Model 2 This Model By Dular and Coutier-mentioning

confidence: 99%

On the Applicability of Cavitation Erosion Risk Models With a URANS Solver

Melissaris

Bulten

Terwisga

2019

Journal of Fluids Engineering

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“…The computational domain and boundary conditions indicated in figure 2 were based on the experimental studies carried out by Franc [12], and the numerical studies carried out by Koukouvinis et al [14]. Structured mesh with a mean y + equal to 1.3 and 4.7 x 10 5 cells was used for the numerical simulation, which is in accordance with previous research [11,15]. Furthermore, the mesh was refined close to the bending part, walls and the possible erosion target.…”

Section: Computational Domain and Boundary Conditionsmentioning

confidence: 74%

Numerical Simulation of the Micro-Jet Velocity and Cavitation-Erosion on an Axisymmetric Nozzle

Hidalgo¹,

Luo²,

Escaler³

et al. 2018

Proceedings of the 10th International Symposium on Cavitation (CAV2018)

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The present study deals with the numerical study of the micro-jet velocity and the cavitation-erosion on an axisymmetric nozzle, which presents high flow unsteadiness and aggressiveness. The proposed model is based on energy conservation for the micro-jet velocity prediction, and assumes the potential and kinetic energies, at the start and at the end of the cavity collapse, respectively. The mass transport between liquid and vapor is closely related to Rayleigh Plesset's equation. Results have been obtained with a numerical scheme assuming homogeneous mixture ow, implicit LES and Zwart-Gerber-Belamri cavitation model. The 3D unsteady flow simulation has been solved using OpenFOAM, whilst for the micro-jet estimation, Python language coupled with OpenFOAM's calculator have been used. Results clearly show that the implemented model captures adequately the phenomenon and enables to identify attacked areas. Outcomes agree reasonably with the experimental results obtained by Franc in the Laboratoire de Écoulements Géophysiques et Industriels. Furthermore, results of the implemented Zwart-Gerber-Belamri cavitation model with adaptive time step, showed more details related to the cavitation shedding and detachment, which are important factors to predict erosion.

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“…Nannan et al (2013) reviewed the role of sound speed in the fundamental derivative of gas dynamics, and Nichita et al (2010) reviewed the calculation of sound velocity in two-phase fluids. In engineering, the low sound speeds of two-phase flows have been cited as affecting cavitation erosion (Peters et al 2015), the properties of destructive fluid hammers (Porca et al 2014), ultrasonic monitoring of the setting of concrete (Desmet et al 2011), and flow rates during gas-well blowouts (Liu et al 2015). The variability of seismic signals caused by heterogeneity in wet geothermal ground observed in Yellowstone (Kieffer 1984b) has been cited as an analog for variable seismicity in subaqueous hydrothermal settings (Pontbriand & Sohn 2014).…”

Section: Related Resourcesmentioning

confidence: 99%