pressure-based solver for incompressible and compressible flows with cavitation
DESCRIPTION
Pressure-based Solver for Incompressible and Compressible Flows with Cavitation. Sunho Park 1 , Shin Hyung Rhee 1 , and Byeong Rog Shin 2 1 Seoul National University, 2 Changwon National University 8 th International Symposium on Cavitation 13-16 August 2012, Singapore. - PowerPoint PPT PresentationTRANSCRIPT
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Pressure-based Solver for Incompressible and Compressible Flows
with Cavitation
Sunho Park1, Shin Hyung Rhee1, and Byeong Rog Shin2
1 Seoul National University, 2 Changwon National University
8th International Symposium on Cavitation13-16 August 2012, Singapore
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□ Cavitation○ Cavitation : the liquid phase changes to vapor phase under the certain
pressure
• The liquid phase is usually treated as an incompressible flow
• The vapor phase is treated as a compressible flow
To understand and predict cavitating flows correctly, incompressible and com-pressible flows should be considered at the same time
Introduction
Bark et al. (2009)
vapor
liquid
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Introduction
Incompressible flows- Pressure based method- Pressure is a primary variable- Advantage: liquid phase- Disadvantage: vapor phase
Compressible flows- Density based method- Density is a primary variable- Advantage: vapor phase- Disadvantage: liquid phase
Incompressible flows with com-
pressibility
- Pressure based methods for
compressible flows
(Rincon and Elder, Issa and
Javareshkian, Darbandi et al.)
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□ Pressure-based compressible computation method○ Shock waves○ Underwater explosions○ Cavitations
□ The objectives were○ to develop pressure-based incompressible and isothermal compressible flow
solvers, termed SNUFOAM-Cavitation○ to understand compressibility effects in the cavitating flow around the
hemispherical head-form body
Introduction
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Governing Equa-tions
○ Mass conservation equation
○ Momentum conservation equation
○ Standard k- turbulence model
0 vt
v vv pt
k
CGCGk
Cvt cbk
t
t2
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Mbkt
t YGGkvkkt
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Cavitation Model
○ Singhal et al. (2002)
evapcondvv
tmmv
mv RRfvftf
)(
vl
vll
chcondcond fPPvCR
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vl
vlv
chevapevap fPPvCR
1
32
vPP
PPv
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Code Develop-ment
Incompressible cavitating flow solver
PSvava NNPP
P)v(Hva PP
01)(1
P
avH
a PP
0 v
Momentum equation
using continuity equation
take the divergence
Turbulence Equations
UpdateProperties
MomentumEquation
Correct Velocity & Flux
Converge?
Start
Finish
Increaset
yes no
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Code Develop-mentIsothermal compressible cavitating flow solver
P)v(Hva PP
01
vvt
Momentum equation
using continuity equation
take the divergence
Substitute density to pressure
0Pa1vH
a1vPPv
tP
P1
PP
P
Turbulence Equations
UpdateProperties
MomentumEquation
Correct Velocity & Flux
Converge?
Start
Finish
Increaset
yes no
ContinuityEquation
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○ Unsteady state RANS equation solvers were used
○ A cell-centered finite volume method was employed
○ PISO type algorithm adapted for velocity-pressure coupling
○ Convection terms were discretized using a TVD MUSCL scheme
○ Diffusion terms were discretized using a central differencing scheme
○ Gauss-Seidel iterative algorithm, while an algebraic multi-grid method was
employed
○ CFD code: SNUFOAM-Cavitation (Developed using OpenFOAM platform)
Numerical Methods
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□ Developed CFD code○ Apply non-cavitating flow around the hemispherical head-form body○ Apply cavitating flow around the hemispherical head-form body
□ Problem description (Hemispherical head-form body)
○ Experiment
Rouse, H. and McNown, J. S., 1948
hemispherical (0.5 caliber ogive), blunt (0.0 caliber ogive) and conical
(22.5o cone half-angle) cavitator shapes
Cavitation number: 0.2, 0.3, 0.4, 0.5 & Reynolds number > 105
Validation
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□ Domain size and boundary condition
□ Mesh○ 70 x (70+100) =11,900○ Axi-sym x (Hemisphere+cylinder)
Results and Discus-sion
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□ Uncertainty Assessment○ To evaluate the numerical uncertainties in the computational results, the
concept of grid convergence index (GCI) was adopted○ Three levels of mesh resolution were considered for the solution convergence
of the drag coefficient, and cavity length.○ The solutions show good mesh convergence behavior with errors from the
corresponding RE less than 0.5 %.
Results and Dis-cussion
Coarse Medium Fine p/RE
CD 0.0884 0.0901 0.0904 5.155/0.0905
0.0189 0.0033
GCI 0.0040 0.0007
lC/R 2.159 2.183 2.189 4.120/2.1910
0.0110 0.0027
GCI 0.0037 0.0009
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Validation of Non-Cavitating Flow
□ Non-cavitating flow was simulated and validated against existing experimental data in a three-way comparison○ the compressible flow solver well
predicted the incompressible flow○ Both almost same
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Validation of Cavitating Flow
□ Cavitating flow was simulated and validated against existing experimental data in a three-way comparison○ the incompressible flow solver
showed the earlier cavity closure, while the pressure overshoot was more prominent by the isothermal compressible flow solver
○ Overall, both results showed quite a close to the existing experimental data.
validate developed incompressible and compressible flow solvers
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Results and Discus-sion
□ The volume fraction contours when the cavity is fully developed○ Overall cavity behavior was almost same for both solvers.○ Noteworthy is the undulation of the cavity interface
• Variations of the vapor volume fraction due to a re-entrant jet caused the change of the vapor volume, and then the cavity interface showed unsteady undulation
Compressible flow solver
Fully developed cavity
Incompressible flow solver
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Results and Discus-sion
□ The volume fraction contours when re-entrant jet was greatest developed to its length○ Incompressible flow solution: the cavity shedding was seen near the cavity closure
due to a short re-entrant jet○ Compressible flow solution: the cavity shedding was observed up to the middle of
the cavity due to a relatively longer re-entrant jet• Unsteady undulation of the cavity interface was observed continuously
Re-entrant jet
Incompressible flow solver Compressible flow solver
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Results and Discus-sion
□ Cavity shedding cycle○ Observed in the results with compressible flow solution○ Developed cavity dynamics (shedding) repeats below two figures
Compressible flow solver
cavity is fully developed re-entrant jet is developed longest
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Results and Discus-sion
□ Streamwise velocity contours when the re-entrant jet was fully developed○ relatively strong and long re-entrant jet, which was in the reverse direction to the
freestream flow, was observed
Incompressible flow solver Compressible flow solver
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Results and Discus-sion
□ Nondimensionalized turbulent eddy viscosity contours when the re-entrant jet is fully developed○ The turbulent viscosity was large near the cavity closure in both cases○ In the result of the compressible flow solution, the large turbulent viscosity was seen
because of the stronger re-entrant jet.
Incompressible flow solver Compressible flow solver
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Results and Discus-sion
□ Time history of the drag coefficient ○ 0 x/D 2○ Incompressible flow
solution: converged to a certain constant value
○ Compressible flow solution : showed fluctuation behavior due to the unsteady cavity shedding.
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Results and Dis-cussion
□ Strouhal number○ Stinebring et al. (1983) carried out
experiments on natural cavitation around axi-symmetric body with Re of 0.35 105 to 0.55105
○ The Strouhal number (St) was calculated using the obtained cavity shedding frequency
○ St =0 by incompressible flow solver○ The overall trend well captured by
the compressible flow solver
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Concluding Remarks
□ To simulate the compressibility in the cavitating flow, the incompressible and compressible flow solvers were developed, and validated by applying it to a hemispherical head-form body
□ In the compressible flow solver○ The re-entrant jet was appeared to be relatively longer and the cavity interface
showed unsteady undulation due to the re-entrant jet○ The drag coefficient of the incompressible flow solver was converged to a
certain value, while, one of the compressible flow solver showed fluctuation behavior due to the cavity shedding frequency
○ The Strouhal number, calculated using the drag coefficient history, shows quite a close agreement between experiments and computations by the compressible flow solver
□ From the results, the compressible flow computations, which including compressibility effects, were recommended for the computation of cavitating flows
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Acknowledgement
□ This work was supported by the Incorporative Research on Super-Cavitating Underwater Vehicles funded by Agency for Defense Development (09-01-05-26), the World Class University Project (R32-2008-000-10161-0) and the Research Foundation of Korea (2010-0022835) funded by the Ministry of Education, Science and Technology of the Korea government.
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Thank you for
attention