experiments and numerical simulations of the flow within a … · 2011. 6. 3. · experiments and...
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Experiments and Numerical Simulations of the Flow Within a Simplified Model of a
Surge Chamberby
Alexandre Massé*‡1,3, Maryse Page2 and Laurent Mydlarski3
1 Groupe-Conseil LaSalle, LaSalle (Qc), H8R 1R8, Canada2 Hydro-Québec Research Institute, Varennes (Qc), J3X 1S1, Canada
3 McGill University, Dept. of Mechanical Engineering, Montréal (Qc), H3A 2K6, Canada
June 2011
‡ Corresponding Author: Alexandre Massé ([email protected])
Outline1) Introduction
Surge chamber, objectives, flow structures
2) Physical BackgroundOscillating mass phenomenon, self-induced sloshing, estimation of head losses
3) Experimental MethodApparatus, instrumentation, measurements
4) Numerical MethodLiterature review, governing equations, MULES, algorithm summary, numerical
simulations
5) ResultsVelocity field, reduced pressure profiles, free-surface profiles, self-induced
sloshing, characteristic frequencies, head losses, simulation parameters
6) Conclusions2
What is a Surge Chamber?
➔ Hydraulic damper: ↓ "water hammer" effect
under opening/closing of turbines
➔ Extra losses during normal operation (no opening/closing)
Schematic of a surge chamber
Simplified model of a surge chamber
Introduction Physical Background Expt. Method Num. Method Results Conclusions
from turbine
to river
Turbine/Generator Surge chamber
3
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Research Objectives
1- UNSTEADY PHENOMENA: To understand and characterize the unsteady phemomena in a surge chamber under constant inflow (no opening/closing).
2- CODE VALIDATION: To obtain experimental data on a simplified model of a surge chamber and to compare the results with numerical simulations using OpenFOAM-1.5-dev.
➔ Identify the major flow structures➔ Select key local and global quantities describing the flow features➔ Estimate the confidence level in numerical simulations of such a flow
4
Reference
A. Massé, Experiments and Numerical Simulations of the Flow Within a Model of a Hydraulic Turbine Surge Chamber. M.Eng. Thesis, Department of Mechanical Engineering, McGill University, 2010.
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Flow Structures
OpenFOAM results: P2, Q ~45 l/s, H ~550 mm
3D, unsteady, incompressible, swirling, two-phase flow
5
InletOutlet
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Oscillating Mass Phenomenon
Simplifications:➔ Geometry➔ No inlet/outlet pipe losses➔ Fully-developed flow in pipes➔ Neglect flow topology in surge chamber
Analysis:➔ Newton's 2nd law in two pipes➔ Conservation of mass in surge chamber➔ Solve system of ODEs with numerical methods using non-equilibrium ICs
Solution:➔ ~ Constant input flow rate: ΔH
1 >> ΔH
2
➔ Stabilizes by oscillating around steady state values: inertia of pipe 2
Schematic of the hydraulic circuit of the simplified model of a surge chamber
sgD
ALP chambersurge
massoscil 70.64 22
_2_ ==
πHzF massoscil 149.0_ =
6
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Self-Induced Sloshing Phenomenon
Self-induced sloshing:➔ Saeki et al., 2001: “the natural oscillation of fluid in a tank excited by the
flow in the absence of other external forces”
Fluid-dynamic (direct) feedback:➔ Reorganization of the flow in the shear layer into large coherent vortex
structures➔ Dominant frequency varies linearly with the inlet velocity (U
0)
Experiments of Chua & Shuy, 2006
Fluid-resonant (indirect) feedback:➔ Resonator: U-tube➔ Resonance: jet shear layer fluctuating
frequency close to the natural frequency of the resonator
➔ Resonance mode dominant for a range of flow rates
In this experiment:➔ Case: aligned inlet pipe under operation➔ Impingement point: downstream wall➔ Resonator: natural free-surface
oscillations
=
Lhn
Lgnn ππω tanh1
sPsloshing 25.1= HzFsloshing 80.0=
7
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Estimation of Head Losses
Schematic of the control volume for the estimation of the head losses in the simplified model of a surge chamber
8
xgpp staticd
⋅−= ρReduced pressure:➔ at different elevations physically correspond to
energy differencesdp
( ) ( )[ ]3,32,21,13,32,21,1
~~~~~~tottottottottottotloss HmHmHmHmHmHmgPower −++−+=
Average power loss:➔ Applying 1st law of Thermodynamics to CV surrounding the chamber → time averaging → removing
vanishing terms➔ : instantaneous mass flow rate at section "i"➔ : instantaneous sum of the dynamic and reduced pressure heads at section "i", averaged by the
mass flow rates
im
itotH ,
Mean contribution Correlation between fluctuating quantities
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Apparatus
Maximum flow rate:➔ One inlet pipe under operation: 70 L/s➔ Two inlet pipes under operation: 2*45 = 90 L/s
Surge chamber height:➔ Controlled by downstream reservoir, height adjustable weir
Schematic of the apparatus and dimensions of the surge chamber model (units: mm).
Three measurement sections:➔ Circumferential average➔ 48 hole cavity
9
Introduction Physical Background Expt. Method Num. Method Results Conclusions
InstrumentationADV:
➔ 3D instantaneous velocity in a remote sampling volume➔ Pulse-to-pulse coherent Doppler sonar: phase difference between
two consecutive pulses = velocity➔ Bad correlation for: large mean velocity gradients, high turbulence
intensity, air bubbles in the flow.
Schematic of the ADV head
( ) ( )( ) ( )
( ) ( ) ( )
( ) ( )( ) ( )
( ) ( )
+×
×+=
−
+−
−
+−
tiCtVtVi
tiCtVtVi
etBetStS
etBtSetSavgtR
rt
rt
γτ ω
γτ ω
11
1
2
12
( ) ( )[ ] ( )CVVtStS rt τ ωφ +−=×= *
21arg
One particle in the sampling volume
Many particles in the sampling volume
time lag
signal frequency
speed of soundphase difference
coherent motion incoherent motion
( ) 0=tBτ ω
+−=
C
trVt
tV
φ
( ) 12 =tR
( ) 0≠tBbiasedφ =
( ) 12 <tR
(good)
(bad)10
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Instrumentation (cont)
∝ ∝
Schematic of the capacitive water level probe
Capacitive water level probes:➔ Instantaneous water level➔ Two electrodes: copper & water / One
dielectric: wire insulation➔ Output voltage capacitance water level
Reduced pressures:➔ Time-averaged readings➔ Cylindrical container linked to pressure hole➔ Break free-surface with a sharp-ended rod mounted on a vernier scale
xgpp staticd
⋅−= ρ
11
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Measurements
Summary of measurements
Top view of the measurement locations for the mean free-surface profiles (40 "+" symbols), the free-surface oscillations of Cases #1 to #3 (5 "○" symbols), the free-surface oscillations of Case #4 (5 "□" symbols) and the losses (grey rings around each pipe). (L = 1114, l = 413, units: mm)
Operating Input Pipes Flow Rates [l/s] Water Level [mm] Measurements
Case #1 P2 45 550 Free-surface profilesVelocity fieldPressure profilesFree-surface oscillationsLosses
Case #2 P2 55 550
Case #3 P1 & P2 45 & 45 (90) 550
Case #4 P1 variable 550 Free-surface oscillations
Losses 3 permutations variable variable Losses
Locations of the reduced pressure taps at the downstream wall of the surge chamber model (looking downstream). (units: mm) 12
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Review of Numerical Methodologies for Two-Phase Flows
Representation of (a) point-force and (b) resolved-surface treatment for Euler-Lagrange methods.
13
Lagrangian, Point-Force (a)➔Continuous flow, properties defined at the particles'
centroids➔Surface forces: empirical/theoretical treatment of the
particle/continuous phase relative velocity➔Grid cells > particles
Lagrangian, Resolved-Surface (b)➔Surface forces: integration of the fully resolved continuous
phase pressure and shear stresses over the particle surface➔More realistic surface forces➔High grid resolution over the particle➔Few particles in the flow domain
Eulerian, Mixed-Fluid ("one-fluid")➔Kinetic and thermal equilibrium between the two phases
within each cell➔Homogenous mixture within each cell➔Fluid properties depend on the phase concentration➔One set of momentum equations
Eulerian, Point-Force ("two-fluid")➔The two phases are treated as two separate continua,
interpenetrating each other➔Extra terms in the momentum equations account for the
momentum transfer between the two phases➔The relative phase velocities and temperatures are required
rasInterFoam
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Review of Numerical Methodologies for Resolving the Interface
Free-surface methodologies: (a) moving grid, (b) front-tracking method and (c) volume of fluid method.
14
Surface Methods
➔The interface is marked or tracked
explicitly➔Moving grid (a), front-tracking (b), level-
set➔Exact position of the interface➔Special treatment for its breakup and
coalescence
Volume Methods
➔The two phases are marked by massless
particles or by an indicator function➔The exact position of the interface is
reconstructed from the markers➔Marker and cell, volume of fluid (c)➔"Interface-reconstruction" or "interface-
capturing"
rasInterFoam
aw
w
VVV+
=γVolume fraction
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Governing Equations
Volume fraction transport equation:
( ) ( )[ ] 01 * =−⋅∇+⋅∇+∂∂
γγγγγrmix uV
t
extra artificial compression
Mixture continuity:
( ) 0=⋅∇+∂
∂mixmix
mix Vt
ρρ
Mixture momentum equations:
( ) ( )( )( ) ( ) ( ) ∫ −+∇⋅−∇⋅∇+∇−
=∇⋅∇−⋅∇+∂
∂
)(
'''
,
,
)(tS
mixmixmixeffmix
mixmixeffmixmixmixmixmix
dSxxnKxgVpd
VVVtV
δσρµ
µρρ
surface tension
➔ Solved explicitly with MULES: keep the phase fraction between 0 and 1
➔ Update the mixture physical properties
➔ Coupling through PISO
15
γσ ∇≈
K
∇∇⋅∇=
γγ
K
0=⋅∇ mixu
or ,
continuum surface force (CSF) model of Brackbill et al. (1992)
( )
−−⋅∇=⋅∇ γρρργγ r
mix
awmix uV
1
( ) γρρργγ r
mix
awmixmix uuV −−+= 1
mass velocity volume velocity phase relative velocity
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Solving the Volume Fraction Transport Equation
16
( ) ( )[ ] 01 * =−⋅∇+⋅∇+∂∂
γγγγγrmix uV
t
( )[ ] ( ) ( ) 0max,min1 0
000
00000
=∑
+∇∇⋅
⋅⋅−+∑ ⋅+
∆−
f
f
f
f
f
ff
f
ff
fff
fffPP
n
P
StabiliserS
SSV
SSV
CSVVt γ
γγγγγγγ
( ) ( ) ( ) ( )[ ]0
,
0
,
0
,
0
, UDfCompffUDfLimitedf QQQQ γγλγγ −⋅+=
( ) ( )00 maxmin nb
n
Pnb γγγ ≤≤
Volume fraction transport equation:
Multidimensional Universal Limiter for Explicit Solution (MULES) in OpenFOAM:
implicit Euler scheme
explicit γ flux explicit γ flux, artificial compression
correction fluxlimiting factor
bounded, but diffusive
limited flux
"multidimensional universal limiter"
compressive, but unbounded
➔ Advect the interface without diffusing, dispersing or wrinkling it
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Algorithm Summary
1. Initial fields: , , , , .
Compute , and .
2. Compute the new time step.
3. Using and , solve the transport equation (MULES).
Get and .
4. From , compute the interface curvature.
5. From and ,compute and at the CV centres.
6. Solve (PISO) for , , and .
7. Solve the k-ε turbulence model equations and get .
8. Set the newly computed field as the old values and return to step 2.
17
( )0
fSV
⋅
0
Pρ 0
,PTurbν
0
Pγ
0
PV
0
Ppd 0
Pκ 0
Pε
n
Pγ
0
Pγ
γ
( )0
fSV
⋅ρ
n
Pγ
n
Pγ 0
,PTurbν n
Peff ,µn
Pρ
n
PV n
Ppd ( )nfSV
⋅
n
PTurb ,ν
( )0
fSV
⋅
OpenFOAM-1.5-dev
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Numerical Simulations
Aligned pipe, P1:➔ 11 different flow rates➔ Amplitude/frequency of free-surface oscillations➔ Frequency of shear layer
Self-induced
sloshing
Code input
parameters
18
Offset pipe, P2:➔ 5 meshes (interface &
entire domain refinement)➔ 2 levels of residuals➔ 2 time steps➔ 3 convection schemes
(momentum eqns.)
Two pipes, P1 & P2:➔ Case #3
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Average Velocities
➔ Overall good agreement of
magnitudes and directions
between experiments and
simulations: ➔ Major structures simulated
7-8-10: impingement & deflection
11-12: direct to P3
13-14: close to bottom
3-4-9: upward & swirling
1-2-6: downward, air entrainement
5: vortex centre, low velocity
Velocity vectors from the experimental Case #1 (red arrows) and the base case of the numerical simulations (blue arrows). P2 in operation at 45 l/s and with a water level of 550 mm. 19
Case #1: P2-Q45-H550
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Reduced Pressure Profiles
Case #1: P2-Q45-H550
➔ Shape is well simulated➔ Num: stagnation point
close to P2 axis➔ Expt: jet deflected
upward and toward P3
(a) Horizontal (z = 151 mm) and (b) vertical (y = 917 mm) reduced pressure profiles on the downstream wall of the surge chamber model for the cases of P2, and P1 & P2.
Case #3: P1&P2-Q45-H550
➔ Increase in reduced
pressures / water level
20
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Free-Surface Profiles
Case #1, #2 and #3: ➔ Error bar: ±1 standard deviation➔ Overall good agreement➔ P1 does not affect much the time-
averaged profiles➔ Larger KE in P2: higher bump,
steeper profiles and more air
entrainment
21(a) Time-averaged free-surface profiles on five vertical planes. (b) Contour plot of the free-surface height for the numerical base case (Case #1).
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Free-Surface Profiles (cont)
Case #1: P2-Q45-H550
➔ Expt.: air entrainement in the corner of the chamber defined by the intersection of the
upstream wall and the side wall closest to the output pipe➔ Num: Vertical diffusion of the free-surface over many cells➔ Diffusion believed to be related to the nature of the flow, rather than to unwanted
numerical diffusion
22
Numerical results of the base case. (a) Instantaneous screenshot of the cells having a volume fraction between 0.1 and 0.9. (b) Contour plot of the time-averaged heights of the cells with a volume fraction between 0.1 and 0.9.
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Self-Induced Sloshing
Experimental and numerical (b) amplitudes and (a) frequencies of free-surface and shear layer oscillations
Free-surface profiles obtained in the experiments and with OpenFOAM, for a flow rate of 45 l/s
23
Case #4: P1-Qvariable-H550
➔ Amplitude increases, reaches a
maximum value and then decreases➔ Predicted peak in amplitude 34% lower
than that obtained in the experiments➔ Fluid-dynamic feedback for low flow
rates➔ Fluid-resonant feedback (1st or 2nd
mode) for other flow rates
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Self-Induced Sloshing (cont)
2D velocity magnitudes and streamlines on vertical and horizontal planes passing through the axis of pipe P1 (Q = 45 l/s). 24
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Characteristic Frequencies
25
Energy spectra of the free-surface at five different locations for the case of P2 in operation at 45 l/s with a downstream reservoir water level of 550 mm. The experimental Case #1 is shown in red and the numerical base case in blue.
Case #1: ➔ P2-Q45-H550➔ Expt: 2 characteristic frequencies
(1% agreement)i) Oscillating mass phenomenon
ii) Self-induced sloshing phenomenon➔ Num: 1 characteristic frequency
(10% agreement)i) Oscillating mass phenomenon
➔ Similar observations for Cases #2 & #3➔ Hypothesis: existence of flow
structures oscillating at frequencies
close to those associated with i) and ii)
Self-induced sloshing
Oscillating mass
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Head Losses
Head losses: single inlet pipe
Head losses: two inlet pipes
P1:➔ Least-Square Fit (expt. Q): 0.422➔ Variations from L-S Fit:
Expt-Q: 7%Expt-H: 10%Num: 4%
P1 & P2:➔ Variations from Expts.:
Num: 12% (P1) & 20% (P2)
26
P2:➔ Least-Square Fit (expt. Q): 1.536➔ Variations from L-S Fit:
Expt-Q: 5%Expt-H: 1%Num: 13%
Head loss coefficients vs Q:➔ P1: Peak corresponds to maximum f-s sloshing amplitude➔ P2: Oscillating mass ???
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Validation of the Simulation Parameters (Case #1: P2-Q45-H550)
Variation of the dominant period of oscillation of the flow with respect to the βm coefficent
Tested parameters of the base case:➔ βm (div. scheme of mom. Eqns.) = 0.5 - 0.3 – 0.1➔ Mesh size = 0.97*106 - 1.73*106 - 4.20*106 cells➔ Height of cells @ f-s = 3 - 1.5 - 0.75 mm➔ Max Co # = 0.8 - 0.2➔ Residuals = 10-7(reduced pressure), 10-6(velocity components), and 10-8(k and ε) – reduced by 102
27
Results:➔ Time-averaged quantities converged for the base case simulation parameters➔ Significant effects on flow periodic oscillations
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Conclusions
28
1- UNSTEADY PHENOMENA:
➔ Constant input flow rate: i) oscillating mass & ii) self-induced sloshing phenomena➔ Unsteady phenomena simulated by OpenFOAM-1.5➔ Resonance = larger head loss coefficients
2- CODE VALIDATION:
➔ Global quantities: head losses➔ Local quantities: velocity fields, reduced pressure profiles, free-surface profiles➔ Overall good agreement / larger discrepancies for some flow structures
Introduction Physical Background Expt. Method Num. Method Results Conclusions
Acknowledgements
29
1- Groupe-Conseil LaSalle:➔ Experimental facilities
2- Hydro-Québec Research Institute:➔ Funding➔ Computational facilities and support
3- McGill University:➔ Scientific support
4- NSERC:➔ Funding
Reference
A. Massé, Experiments and Numerical Simulations of the Flow Within a Model of a Hydraulic Turbine Surge Chamber. M.Eng. Thesis, Department of Mechanical Engineering, McGill University, 2010.