Research Papers: Multiphase Flows

Implicit LES Predictions of the Cavitating Flow on a Propeller

[+] Author and Article Information
Rickard E. Bensow, Göran Bark

Shipping and Marine Technology, Chalmers University of Technology, 412 96 Gothenburg, Sweden

J. Fluids Eng 132(4), 041302 (Apr 13, 2010) (10 pages) doi:10.1115/1.4001342 History: Received July 01, 2009; Revised February 09, 2010; Published April 13, 2010; Online April 13, 2010

We describe an approach to simulate dynamic cavitation behavior based on large eddy simulation of the governing flow, using an implicit approach for the subgrid terms together with a wall model and a single fluid, two-phase mixture description of the cavitation combined with a finite rate mass transfer model. The pressure-velocity coupling is handled using a PISO algorithm with a modified pressure equation for improved stability when the mass transfer terms are active. The computational model is first applied to a propeller flow in homogeneous inflow in both wetted and cavitating conditions and then tested in an artificial wake condition yielding a dynamic cavitation behavior. Although the predicted cavity extent shows discrepancy with the experimental data, the most important cavitation mechanisms are present in the simulation, including internal jets and leading edge desinence. Based on the ability of the model to predict these mechanisms, we believe that numerical assessment of the risk of cavitation nuisance, such as erosion or noise, is tangible in the near future.

Copyright © 2010 by American Society of Mechanical Engineers
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Figure 1

Pressure distribution on the hemispherical head shape for noncavitating and cavitating conditions

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Figure 2

The INSEAN E779A propeller

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Figure 3

The computational domain and the grid for the uniform inflow case. In (a), the flow is visualized with two isosurfaces of the helicity.

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Figure 4

Contours of the inplane velocity components: (a) U/U∞ and (b) V/U∞. The background contour plane indicates the experimental data and the lines the computational results.

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Figure 5

Contours of the axial velocity U/U∞: (a) x/RP=0.2 and (b) x/RP=0.2. The background contour plane indicates the experimental data and the lines the computational results.

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Figure 6

Isosurfaces of the magnitude of the vorticity ‖∇×v‖=100 s−1 for the experiments (in black) and the computation (in light gray)

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Figure 7

Cavity extent in steady conditions in (a) and (b) computations and in (c) experiments; (a) shows the isosurface of vapor fraction α=0.5 and in (b) planes with contours of α

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Figure 8

Isosurfaces of pressure in (a) CP=1.76 and in (b) CP=1.0

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Figure 9

The five wake generator plates in the experiments, seen behind the propeller in (a), is in the computations replaced by a inflow velocity deficit. Figure (b) shows a comparison between measured propeller inflow (to the left) and the inflow in the simulation (to the right).

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Figure 10

The left column shows the simulation (isosurface of vapor fraction α=0.5) and the right column the experimental photographs (6). The series of pictures are for propeller angles −30 deg (frames (a) and (b)), −10 deg (frames (c) and (d)), 10 deg (frames (e) and (f)) and 15 deg (frames (g) and (h)).

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Figure 11

Planes with contours of vapor fraction: (a) corresponds to Figs.  1010 to Fig. 1

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Figure 12

The cavity is indicated by an isosurface of vapor fraction α=0.5, complemented by vectors, colored with α, of the secondary flow around the cavity and blade tip: (a) shows an instant, where the cavity is fully developed and (b) an earlier instant, where a side-entrant jet has just developed



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