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Comparison of compressible explicit density-based and implicit pressure-based CFD methods for the simulation of cavitating flows. Romuald Skoda. Uwe Iben. Martin Güntner, Rudolf Schilling. Motivation. - PowerPoint PPT Presentation
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August 14th, 2012
Comparison of compressible explicit density-based and implicit pressure-based
CFD methods for the simulation of cavitating flows
Romuald Skoda Uwe Iben Martin Güntner,Rudolf Schilling
Implicit pressure-based CFD methods for Cavitatiing Flows | Romuald Skoda | 14.08.2012 2
Pressure
Motivation
• Explict CFD methods resolve all relevant time scales of the wave dynamics (~ 1 nano sec).
• Problem: Due to the coupling of spatial and temporal resolution (accoustic CFL condition) explicit methods generate prohibitely long computation times in complex geometries (injection systems, pumps, …)
• Is it really necessary to resolve all time scales? We would like to increase the time step systematically and therefore need an implicit method.
Distance of Wave travel at CFL = 1
Cavitating flow in a micro channel
The smallest cell in the domain dictates the overall time step
Skoda, Iben, Morozov, Mihatsch, Schmidt, Adams: Warwick, UK, 2011
Liquid Volume fraction
Implicit pressure-based CFD methods for Cavitatiing Flows | Romuald Skoda | 14.08.2012 3
Numerical method and Physical model
• To get an implict method we modify a compressible standard pressure-based algorithm (SIMPLE, 2. order in space and time)
1.) local underrelaxation (preconditioning of the matrix)2.) density- instead of pressure correction, pressure from
EOS
• Reference method: Explicit density-based code with CATUM flux functions (TU Munich) and time integration scheme (2. order)
• Homogenous model
• Neglect of the energy equation and use of a barotropic EOS
• inviscid flow
Implicit pressure-based CFD methods for Cavitatiing Flows | Romuald Skoda | 14.08.2012 4
Non-Cavitating Riemann problem (CFL = 1)
• Temporal pressure development for 100 bar / 1 bar
0.0E+00
2.0E+06
4.0E+06
6.0E+06
8.0E+06
1.0E+07
1.2E+07
0.00 0.02 0.04 0.06 0.08 0.10
Explicit2. Order
0.0E+00
2.0E+06
4.0E+06
6.0E+06
8.0E+06
1.0E+07
1.2E+07
0.00 0.02 0.04 0.06 0.08 0.10
Implicit2. Order in Space1. Order in Time
1 2 3 4Time instant
With the Implicit method, we can reproduce the Explicit method results.
x [m]x [m]
p [Pa] p [Pa]
Implicit pressure-based CFD methods for Cavitatiing Flows | Romuald Skoda | 14.08.2012 5
Cavitating Riemann problem (CFL = 1)
• Temporal pressure development for 1 bar / 0.073 bar
1 2 3 4Time instant
0.0E+00
2.0E+04
4.0E+04
6.0E+04
8.0E+04
1.0E+05
1.2E+05
0.00 0.02 0.04 0.06 0.08 0.100.0E+00
2.0E+04
4.0E+04
6.0E+04
8.0E+04
1.0E+05
1.2E+05
0.00 0.02 0.04 0.06 0.08 0.10x [m]x [m]
Two-phase flow
With the Implicit method, we can reproduce the Explicit method results. Conclusion: The Implicit scheme is feasible.For the next test case, we use a second order in time and space.
p [Pa]
Implicit2. Order in Space1. Order in Time
Explicit2. Order
p [Pa]
Implicit pressure-based CFD methods for Cavitatiing Flows | Romuald Skoda | 14.08.2012 6
NACA profile
• Computational setup– Re = 1.56 e5– a = 6° S=0
S>0
x
y
Pressure
Vapour Volume Fraction
Instantaneous results
Shock wave
Periodic shedding and re-entrant jet
Implicit pressure-based CFD methods for Cavitatiing Flows | Romuald Skoda | 14.08.2012 8
0.E+00
2.E+06
4.E+06
6.E+06
8.E+06
1.E+07
0.15 0.20 0.25 0.30
Explicit vs implicit method at CFL = 2
0.0E+00
5.0E-04
1.0E-03
1.5E-03
2.0E-03
0.0 0.5 1.0 1.5
PP [-] THR = 5 bar
Erosion probability
10*s [m]
The Explicit and Implicit methods yield similar results.
Co-ordinate s along suction surface
Temporal development of the wall pressure
t [ms]
p [Pa]Statistical evaluation (threshold)
ExplicitImplicit
s=0
s
Analysis interval
Implicit pressure-based CFD methods for Cavitatiing Flows | Romuald Skoda | 14.08.2012 9
Increase of the CFL number
• Integral Vapour Volume Fraction
0.000
0.002
0.004
0.006
0.1 0.2 0.30.000
0.002
0.004
0.006
0.1 0.2 0.30.000
0.002
0.004
0.006
0.1 0.2 0.30.000
0.002
0.004
0.006
0.1 0.2 0.3t [sec]
Inte
gral
vap
our V
F [-]
t [sec]t [sec]t [sec]
CFL = 2 CFL = 20 CFL = 200 CFL = 2000
No significant influence of the CFL number.
Implicit pressure-based CFD methods for Cavitatiing Flows | Romuald Skoda | 14.08.2012 10
Maximum pressure at suction surface
• Maximum pressure on the suction suface in the analysis time interval
Pressure peaks get lower with increasing CFL number.Conclusion: the threshold for the statistical evaluation must not be too high.
1.E+05
1.E+06
1.E+07
1.E+08
0.0 0.5 1.0 1.5
pMax [Pa]
10*s [m]
Co-ordinate s along suction side
CFL = 2
CFL = 20
CFL = 200
CFL = 2000
Implicit pressure-based CFD methods for Cavitatiing Flows | Romuald Skoda | 14.08.2012 11
• Erosion probability
Wall load at suction surface
For higher CFL-number, the solution tendency is maintained.
0.E+00
2.E-02
4.E-02
6.E-02
0.0 0.5 1.0 1.5
THR = 1.5 bar
PP [-]
CFL = 2CFL = 20CFL = 200CFL = 2000
10*s [m]
Co-ordinate s along suction side
Implicit pressure-based CFD methods for Cavitatiing Flows | Romuald Skoda | 14.08.2012 12
Application to a micro channel flow
• Hight: 100 mm• Length: 1000 mm• Inlet pressure pin = 300 bar• Variation of the outlet pressure
pout = 80 barpout = 125 barpout = 160 bar
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.0 0.2 0.4 0.6 0.8 1.0
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.0 0.2 0.4 0.6 0.8 1.0
Explicit CFL = 1 Implicit CFL = 100Pp [-] THR =
250 bar
Channel length [-]Channel length [-]
Pp [-]THR = 250 bar
Ero
sion
pr
obab
ility
Ero
sion
pr
obab
ility
Implicit pressure-based CFD methods for Cavitatiing Flows | Romuald Skoda | 14.08.2012 13
Conclusions
• For the prediction of the wall load which is the origin of cavitation erosion it is sufficient to use CFL ~ 100.
• Possible application: visous flow computations with a fine near-wall resolution.
• The pressure-based code has in total a much higher CPU time than the explicit code due to numerical issues. The cost per time step must be decreased.
• For future investigations we recommend to use implicit density-based methods.