''Modelling Strategies and Implementation Challenges of ...€¦ · Polydisperse TwoPhase Flows''...
Transcript of ''Modelling Strategies and Implementation Challenges of ...€¦ · Polydisperse TwoPhase Flows''...
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Technische Universität München
''Modelling Strategies and Implementation Challenges of Moment Methods for the Simulation ofPolydisperse TwoPhase Flows''
Patrick DemsProf. Wolfgang Polifke, Ph.D.Lehrstuhl für Thermodynamik, TU München
Multiphysical Modelling in OpenFOAM10/21/2011, Riga
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Technische Universität München
Multiphysics with OpenFOAM at Lehrstuhl für Thermodynamik
Mixing and autoignitionin turbulent flows
Heat transfer in pulsating flows
Multiphase Flows
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Technische Universität München
Projects on Polydisperse MultiPhase Flows
Development of a Moment Method
f
DSpray Combustion with LES
Description of Hydrometeor Populations Process Industry Reacting Bubble Flows
f
D
fDfD
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Technische Universität München
Introduction to TwoPhase Flows
TwoPhase FlowsEulerianEulerian Description
twoPhaseEulerFoamwith RANS and Dmean
LESContinuous PhaseDispersed Phase
Polydispersity
Moment Methods:PMOM, QMOM, DQMOM
Reaction
Spray CombustionProcess Industry
Phase ChangeDroplet Evaporation
Condensation, Melting,Freezing of Hydrometeors
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Technische Universität München
Modelling of Polydisperse MultiPhase Flows
● Lagrange Particle Tracking (LPT)
● Each particle has its individual diameter and velocity
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Technische Universität München
Modelling of Polydisperse MultiPhase Flows
● Eulerian description as continuous fluid
● Different size classes
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Technische Universität München
Modelling of Polydisperse MultiPhase Flows
MultiFluid Model
f_D1(x,t)f_D2(x,t) :
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Technische Universität München
Modelling of Polydisperse MultiPhase Flows
● MultiFluid Model
f_D1(x,t)f_D2(x,t) :
● Each class has its individual velocity
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Technische Universität München
Modelling of Polydisperse MultiPhase Flows
● TwoFluid Model
f_D(x,t)
● Simple model, restricted accuracy
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Technische Universität München
● Continuity
Continuous Phase
Dispersed Phase
● Momentum
Classical TwoFluid Model Equations
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Technische Universität München
twoPhaseEulerFoam
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From MultiFluid to Moment Methods
f_D1(x,t)f_D2(x,t) f(D;x,t) :
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Technische Universität München
Modelling of Polydisperse MultiPhase Flows
● Moments Model f(D;x,t) (Carneiro et al. 20082010)
● Moment transport● Including again size
dependency of particle dynamics
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Technische Universität München
Moments Model (PMOM) Basic Equations
● Distribution function
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Technische Universität München
Moments Model (PMOM) Basic Equations
● Distribution function
● Moment transport equation
● Relaxation approach
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Technische Universität München
Modelling of Polydisperse MultiPhase Flows
● Moments Model f(D;x,t) (Carneiro et al. 20082010)
● Moments transported with their individual moment transport velocities
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Technische Universität München
Moments Model (PMOM) Derivation of Transport Equations
Dro
plet
sG
as
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Moments Model (PMOM) Closure
● Interfacial momentum exchange via drag (Stokes/SchillerNaumann):
● Closure for higher order moments obtained by presuming form of NDF
➢ e.g. Gamma distribution
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Technische Universität München
Implementation into OpenFOAM
● alpha.H corresponds to M(3)equation
● M(0) M(2) equations similar
● UEqns.H only slightly modified (UaEqn corresponds to M(3)-equation)
● Drag coefficient replaced by integral value of the Moments Model
● Moment bounding routines (simple algebraic equations)
● LES for gas phase implementation similar to pisoFoam (OF 1.7 and higher)
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Technische Universität München
Simple Test Cases (Carneiro et al. 2008)
1.5 cm 5.0 cm 7.0 cm
● RANS● All moments transported
with same velocity
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Technische Universität München
Moments and their Physical Meanings ( Results for Borée et al.)
M(0) ~ total number of particlesM(1) ~ diameter sum
M(2) ~ droplet surfaceM(3) ~ volume fraction
Air
Air+Particles
LES, moments transported with individual moment transport velocity
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Comparison Against Experiment of Sommerfeld & Qiu (1991)
Dems et al. 2011
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Technische Universität München
Numerical Settings● Turbulence: WALE (gas phase) / none (dispersed phase)
● temporal backward (2nd order implicit) spatial upwind/central (1st /2nd order)
● CFL for both phases
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Technische Universität München
Results for Sommerfeld & Qiu Axial Velocity
Mean RMS
Parti
cles
Gas
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Technische Universität München
Results for Sommerfeld & Qiu Axial Velocity
Mean Massflux
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Technische Universität München
Results for Sommerfeld & Qiu Radial Velocity
Mean RMS
Parti
cles
Gas
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Technische Universität München
Results for Sommerfeld & Qiu Azimuthal Velocity
Mean RMS
Parti
cles
Gas
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Moments Model Evaporation Modelling
(Clausius Clayperon)
(Spalding mass transfer number)
(Frossling correlation)
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Evaporation 2D, Hexamesh, Qualitative Results
Air cools down...
...droplets cool as well, since droplet thermal conductivity is small...
Volume Fraction
VaporFraction
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Behind the scenes of PMOM simulations
● Overall stability of the solver mainly depends on valid moments sets.
● Evaporation requires strict bounding of several variables➢ droplet temperature➢ surface vapour fraction➢ surface vapor pressure➢ Nusselt, Sherwood numbers➢ ...
● Numerical stability problems with 3D cases and “nonperfect” meshes
● Tetrahedral meshes are quite challenging...
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Technische Universität München
Spray Combustion Ongoing work
● Homogeneous combustion
➢ Fuel vapour and air➢ Standard combustion models (EBC, JPDF, species transport)➢ Implementation of additional equations & chemistry tabulation
● Heterogeneous combustion
➢ single droplet combustion➢ group combustion➢ integral source terms of species mass fractions and heat release
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Technische Universität München
Simulation of Hydrometeor Population Dynamics
● Hydrometeors➢ rain drops➢ snowflakes➢ ice particles➢ hail➢ ...
● Sedimentation including➢ breakup➢ coalescence➢ coagulation➢ melting, freezing
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Technische Universität München
Modelling Population Balances with QMOM
QMOM (McGraw et al.)
Main advantage: Sum instead of integral, especially in source terms
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Technische Universität München
QMOM in OpenFoam
● Several publications and code version● Implementation straight forward● Moment set validity is main stability issue● Ongoing work at our chair...
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Technische Universität München
Selected Publications