Numerical Predictions of Cavitating Flow around Model Scale Propellers by CFD and Advanced Model Calibration

Morgut, Mitja; Nobile, Enrico

doi:10.1155/2012/618180

Cited by 40 publications

(28 citation statements)

References 10 publications

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“…Besides these experimental studies, the E779A propeller had been the subject of numerous simulations studies by using CFD methods and comparisons with the experimental results as a benchmark propeller. For example, Morgut and Nobile performed CFD simulations using the three mass transfer models of Zwart, Full Cavitation Model (FCM) and Kunz for the E779A as well as for the Potsdam Propeller Test Case (PPTC) including inclined shaft conditions (Morgut and Nobile, 2012). Vaz et al (2015) used RANS and RANS-BEM coupled approaches in non-cavitating and cavitating conditions to predict propeller performance, pressure distributions and cavitation volume for the latter condition.…”

Section: Used Incompressible Rans Computations With Thementioning

confidence: 99%

An improved Mesh Adaption and Refinement approach to Cavitation Simulation (MARCS) of propellers

2019

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This paper presents the improvements of cavitation modelling for marine propellers particularly developing tip vortex cavitation. The main purpose of the study is to devise a new approach for modelling tip vortex cavitation using Computational Fluid Dynamics (CFD) methods with commercial software, STAR-CCM+. The INSEAN E779A model propeller was used for this study as a benchmark propeller. Utilizing this propeller, firstly, validation studies were conducted in non-cavitating conditions together with grid and time step uncertainty studies. Then, the cavitation was simulated on the propeller using a numerical cavitation model, which is known as the Schnerr-Sauer model, based on the Rayleigh-Plesset equation. While a Reynolds Averaged Navier Stokes (RANS) model was used for open water simulations, Detached Eddy Simulations (DES) and Large EddySimulations (LES) models were preferred for cavitation simulations to capture the cavitation and evaluate its effect on propeller performance accurately. Although the comparison with the benchmark experimental data showed good agreement for the thrust and torque coefficients as well as sheet cavitation pattern, tip vortex cavitation could not be adequately simulated using the existing method. After an evaluation of the interaction between cavitation modelling and generated meshes, two techniques, which involved volumetric control and adaptive mesh refinement, were used in combination on the region where the tip vortex cavitation is likely to occur. The first technique, which is called a 'volumetric control method', was developed using spiral geometry around the propeller tip region to generate a finer mesh for capturing tip vortex cavitation. Although this method gave better tip vortex cavitation extension than the method without any mesh refinement or with tube refinement, it still required to be improved to extend the tip vortices further into the propeller slipstream.The second method, which is called 'adaptive mesh refinement', was introduced using the pressure distribution data from the results of the 'volumetric control method'. This improved approach, which is called "Mesh Adaption and Refinement for Cavitation Simulation (MARCS)", has been successfully applied to simulate the tip vortices trailing from the blades of the INSEAN E779A propeller as demonstrated in the paper. The results of the simulations showed an excellent agreement with the experiments in the open literature by tracking the tip vortex cavitation along this propeller's slipstream.

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Section: Used Incompressible Rans Computations With Thementioning

confidence: 99%

An improved Mesh Adaption and Refinement approach to Cavitation Simulation (MARCS) of propellers

2019

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“…P is the flow ambient pressure; I is the moment of inertia of the body about an axis parallel to the y0 axis and passing through its center of mass; The cavity shape is assumed to be an ellipse (actually, it is an ellipsoid in 3D) (see [8,13,14]). The shape and side of the elliptic cavity are characterized by its maximum diameter and its length (see Fig.3)…”

Section: Mathematical Sub-model Simulated Motion Of Slender Body Runnmentioning

confidence: 99%

Super cavity model with the coupling reaction of slender body motion and water flow

Thuyen

Dung

et al. 2018

Vietnam J. Mech.

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On the imperfect water entry, a high-speed slender body moving in the forward direction, rotates inside the cavity. The body's motion makes super cavity phenomena in the water flow. The water velocity and pressure fields interact during the body's motion. In this paper, the coupling simulation model is a combination of two sub-models: In the first sub-model, the motion of slender body running very fast underwater is simulated. The equation system of this sub-model is solved by Runge-Kutta method; In the second sub-model, the water flow and pressure field under reaction of very fast slender body motion are simulated by CFD model. The simulation results of this coupled model are compared with experiments based on magnitudes of velocity U by x 0 direction and error percents for cavity diameter and length.

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“…The initial value of bubble radius, R, was set to 3 × 10 −5 m. After transforming Eqs. (18) and (19) to the form of source terms, the equations take the following forms:…”

Section: The Development Paths Of Numericalmentioning

confidence: 99%

Review of numerical models of cavitating flows with the use of the homogeneous approach

Niedźwiedzka¹,

Schnerr²,

Sobieski³

2016

Archives of Thermodynamics

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The focus of research works on cavitation has changed since the 1960s; the behaviour of a single bubble is no more the area of interest for most scientists. Its place was taken by the cavitating flow considered as a whole. Many numerical models of cavitating flows came into being within the space of the last fifty years. They can be divided into two groups: multifluid and homogeneous (i.e., single-fluid) models. The group of homogenous models contains two subgroups: models based on transport equation and pressure based models. Several works tried to order particular approaches and presented short reviews of selected studies. However, these classifications are too rough to be treated as sufficiently accurate. The aim of this paper is to present the development paths of numerical investigations of cavitating flows with the use of homogeneous approach in order of publication year and with relatively detailed description. Each of the presented model is accompanied by examples of the application area. This review focuses not only on the list of the most significant existing models to predict sheet and cloud cavitation, but also on presenting their advantages and disadvantages. Moreover, it shows the reasons which inspired present authors to look for new ways of more accurate numerical predictions and dimensions of cavitation. The article includes also the division of source terms of presented models based on the transport equation with the use of standardized symbols. Boldface lower-case letters refer to vectors while boldface capital letters and Greek lowercase letters refer to matrices.

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Numerical Predictions of Cavitating Flow around Model Scale Propellers by CFD and Advanced Model Calibration

Cited by 40 publications

References 10 publications

An improved Mesh Adaption and Refinement approach to Cavitation Simulation (MARCS) of propellers

An improved Mesh Adaption and Refinement approach to Cavitation Simulation (MARCS) of propellers

Super cavity model with the coupling reaction of slender body motion and water flow

Review of numerical models of cavitating flows with the use of the homogeneous approach

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