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Multiphase and Reactive Flow Modelling BMEGEÁTMW07 K. G. Szabó Dept. of Hydraulic and Water Management Engineering, Faculty of Civil Engineering Spring.

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Presentation on theme: "Multiphase and Reactive Flow Modelling BMEGEÁTMW07 K. G. Szabó Dept. of Hydraulic and Water Management Engineering, Faculty of Civil Engineering Spring."— Presentation transcript:

1 Multiphase and Reactive Flow Modelling BMEGEÁTMW07 K. G. Szabó Dept. of Hydraulic and Water Management Engineering, Faculty of Civil Engineering Spring semester, 2012

2 Introduction Physical phenomena Major concepts, definitions, notions and terminology Equilibrium vs. non-equilibrium models Lagrangean vs. Eulerian description Dimensionless numbers Modelling strategies

3 Basic notions and terminology Ordinary phases: –Solid –Liquid –Gaseous preserves shape Fluid phases deform preserve volume Condensed phases expands There also exist extraordinary phases, like plastics and similarly complex materials The property of fluidity serves in the definition of fluids

4 Properties of solids: Mass (inertia), position, translation Extension (density, volume), rotation, inertial momentum Elastic deformations (small, reversible and linear), deformation and stress fields Inelastic deformations (large, irreversible and nonlinear), dislocations, failure etc. Modelled features: 1.Mechanics Statics: mechanical equilibrium is necessary Dynamics: governed by deviation from mechanical equilibrium 2.Thermodynamics of solids Properties and models of solids Mass point model Rigid body model The simplest continuum model Even more complex models

5 Key properties of fluids: Large, irreversible deformations Density, pressure, viscosity, thermal conductivity, etc. (are these properties or states?) Features to be modelled: 1.Statics Hydrostatics: definition of fluid (inhomogeneous [pressure and density]) Thermostatics: thermal equilibrium (homogenous state) 2.Dynamics 1.Mechanical dynamics: motion governed by deviation from equilibrium of forces 2.Thermodynamics of fluids: Deviation from global thermodynamic equilibrium often governs processes multiphase, multi-component systems Local thermodynamic equilibrium is (almost always) maintained Models and properties of fluids Only continuum models are appropriate!

6 Modelling Simple Fluids Inside the fluid: –Transport equations Mass, momentum and energy balances 5 PDEs for –Constitutive equations Algebraic equations for Boundary conditions On explicitly or implicitly specified surfaces Initial conditions Primary (direct) field variables Secondary (indirect) field variables

7 Note Thermodynamical representations All of these are equivalent: can be transformed to each other by appropriate formulæ Use the one which is most practicable: e.g., (s,p) in acoustics: s = const ρ(s,p) ρ(p). We prefer (T,p) Representation (independent variables)TD potential enthropy and volume (s,1/ρ)internal energy temperature and volume (T,1/ρ)free energy enthropy and pressure (s,p)enthalpy temperature and pressure (T,p)free enthalpy

8 Some models of fluids In both of these, the heat transport problem can be solved separately (one-way coupling): Mutually coupled thermo-hydraulic equations: Non-Newtonian behaviour etc. Stoksean fluid compressible (or barotropic) fluid models for complex fluids general simple fluid fluid dynamical equations heat transport equation (1 PDE) fluid dynamical equations heat transport equation

9 Phase transitions Evaporation, incl. –Boiling –Cavitation Condensation Freezing Melting Solidification Sublimation All phase transitions involve latent heat deposition or release

10 Typical phase diagrams of a pure material: In equilibrium 1, 2 or 3 phases can exist together Complete mechanical and thermal equilibrium Several solid phases (crystal structures) may exist

11 Conditions of local phase equilibrium in a contact point in case of a pure material 2 phases: T (1) =T (2) =:T p (1) =p (2) =:p μ (1) (T,p)= μ (2) (T,p) Locus of solution: a line T s (p) or p s (T), the saturation temperature or pressure (e.g. boiling point´). 3 phases: T (1) =T (2) =T (3) =:T p (1) =p (2) =p (3) =:p μ (1) (T,p)= μ (2) (T,p) = μ (3) (T,p) Locus of solution: a point (T t,p t ), the triple point.

12 Multiple components Almost all systems have more than 1 chemical components Phases are typically multi-component mixtures Concentration(s): measure(s) of composition There are lot of practical concentrations in use, e.g. –Mass fraction (we prefer this!) –Volume fraction (good only if volume is conserved upon mixing!) Concentration fields appear as new primary field variables in the equation: One of them (usually that of the solvent) is redundant, not used.

13 Note Notations to be used (or at least attempted) Phase index (upper): –( p ) or –(s), (l), (g), (v), (f) for solid, liquid, gas, fluid, vapour Component index (lower): k Coordinate index (lower): i, j or t Examples: Partial differentiation:

14 Material properties in multicomponent mixtures One needs constitutional equations for each phase These algebraic equations depend also on the concentrations For each phase ( p ) one needs to know: –the equation of state –the viscosity –the thermal conductivity –the diffusion coefficients

15 Conditions of local phase equilibrium in a contact point in case of multiple components Suppose N phases and K components: Thermal and mechanical equilibrium on the interfaces: T (1) =T (2) =T (3) =:T p (1) =p (2) =p (3)= :p Mass balance for each component among all phases: (N-1)K equations for 2+N(K-1) unknowns

16 Phase equilibrium in a multi-component mixture Gibbs Rule of Phases, in equilibrium: If there is no (global) TD equilibrium: additional phases may also exist –in transient metastable state or –spatially separated, in distant points TD limit on the # of phases

17 Miscibility The number of phases in a given system is also influenced by the miscibility of the components: Gases always mix Typically there is at most 1 contiguous gas phase Liquids maybe miscible or immiscible Liquids may separate into more than 1 phases (e.g. polar water + apolar oil) 1.Surface tension (gas-liquid interface) 2.Interfacial tension (liquid-liquid interface) (In general: Interfacial tension on fluid-liquid interfaces) Solids typically remain granular

18 Topology of phases and interfaces A phase may be Contiguous (more than 1 contiguous phases can coexist) Dispersed: –solid particles, droplets or bubbles –of small size –usually surrounded by a contiguous phase Compound Interfaces are 2D interface surfaces separating 2 phases –gas-liquid: surface –liquid-liquid: interface –solid-fluid: wall 1D contact lines separating 3 phases and 3 interfaces 0D contact points with 4 phases, 6 interfaces and 4 contact lines Topological limit on the # of phases (always local)

19 Special Features to Be Modelled Multiple components –chemical reactions –molecular diffusion of constituents Multiple phases inter-phase processes –momentum transport, –mass transport and –energy (heat) transfer across interfaces. (Local deviation from total TD equilibrium is typical)

20 Class 3 outline Balance equations Mass balance equation of continuity Component balance Advection Molecular diffusion Chemical reactions

21 extensive quantity: F density: φ=F/V=ρf specific value f=F/m molar value f=F/n molecular value F*=F/N

22 Differential forms of balance equations Conservation of F: equations for the density –general –only convective flux equation for the specific value These forms describe passive advection of F

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24 Class 4 Diffusion continued –further diffusion models –the advectiondiffusion equations Chemical reactions –the advectiondiffusionreaction equations –stochiometric equation –reaction heat –chemical equilibrium –reaction kinetics –frozen and fast reactions Incomplete without class notes !

25 Further diffusion models Thermodiffusion and/or barodiffusion Occur(s) at high concentrations high T and/or p gradients For a binary mixture: coefficient of thermodiffusion coefficient of barodiffusion Analogous cross effects appear in the heat conduction equation

26 Further diffusion models Nonlinear diffusion model Cross effect among species diffusion Valid at high concentrations more than 2 components low T and/or p gradients (For a binary mixture it falls back to Ficks law.)

27 The advection–diffusion equations advective flux diffusive flux local rate of change The concentrations are conserved but not passive quantities

28 The advection–diffusion–reaction equations advective flux diffusive flux reactive source terms local rate of change The concentrations are not conserved quantities

29 Class 5 Mathematical description of interfaces –implicit description –parametric description (homework) –normal, tangent, curvature –interface motion Transport through interfaces –continuity and jump conditions –mass balance –heat balance –force balance Incomplete without class notes !

30 Interfaces and their motion Description of interface surfaces: –parametrically –by implicit function –(the explicit description is the common case of the two) Moving phase interface: (only!) the normal velocity component makes sense New primary(?) field variables Incomplete without class notes !

31 Description of an interface by an implicit function

32 Equation of motion of an interface given by implicit function Equation of interface Path of the point that remains on the interface (but not necessarily a fluid particle) Differentiate For any such point the normal velocity component must be the same Propagation speed and velocity of the interface Only the normal component makes sense

33 Parametric description of an interface and its motion Homework: Try to set it up analogously

34 Mass balance through an interface Steps of the derivation: describe in a reference frame that moves with the interface (e.g. keep the position of the origin on the interface) velocities inside the phases in the moving frame mass fluxes in the moving frame flatten the control volume onto the interface Incomplete without class notes !

35 ! The kinematical boundary conditions continuity of velocity conservation of interface This condition does not follow from mass conservation

36 Mass flux of component k in the co-moving reference frame: Case of conservation of component mass: Diffusion through an interface on a pure interface (no surface phase, no surfactants) without surface reactions (not a reaction front) The component flux through the interface:

37 Examples Impermeability condition Surface reaction

38 Momentum balance through an interface Effects due to surface tension surface viscosity surface compressibility mass transfer

39 Surface tension The origin and interpretation of surface tension Incomplete without class notes !

40 ! Dynamical boundary conditions with surface/interfacial tension Fluids in rest –normal component: Moving fluids without interfacial mass transfer –normal component: –tangential components: The viscous stress tensor: Modifies the thermodynamic phase equilibrium conditions

41 The heat conduction equation The equation Fouriers formula –(thermodiffusion not included!) Volumetric heat sources: –viscous dissipation –direct heating –chemical reaction heat Boundary conditions Thermal equilibrium Heat flux: –continuity (simplest) –latent heat (phase transition of pure substance) Even more complex cases: –chemical component diffusion –chemical reactions on surface –direct heating of surface Jump conditions

42 Boundary conditions on moving interfaces Physical balance equations imply conditions on the interface elements: –continuity conditions –jump conditions Other conditions prescribed to obtain a well set mathematical model With and without mass transfer Incomplete without class notes !

43 Approaches of fine models Phase-by-phase Separate sets of governing equations for each phase Each phase is treated as a simple fluid Describing/capturing moving interfaces Prescribing jump conditions at the interfaces One-fluid A single set of governing equation for all phases Complicated constitutional equations Describing/capturing moving interfaces Jumps on the interfaces are described as singular source terms in the governing equations

44 Phase-by-phase mathematical models 1.A separate phase domain for each phase 2.A separate set of balance equations for each phase domain, for the primary field variables introduced for the single phase problems, supplemented by the constitutional relations describing the material properties of the given phase 3.The sub-model for the motion of phase domains and phase boundaries (further primary model variables) 4.Prescribing the moving boundary conditions: coupling among the field variables of the neighbouring phase domains and the interface variables

45 The one-fluid mathematical model 1.A single fluid domain 2.Characteristic function for each phase 3.Material properties expressed by the properties of individual phases and the characteristic functions 4.A single set of balance equations for the primary field variables introduced for the single phase problems, supplemented by discrete source terms describing interface processes 5.The sub-model for the motion of phase domains and phase boundaries (further primary model variables)

46 The sub-models of phase motion (interface sub-models) The choice of the mathematical level sub- model is influenced by the available effective numerical methods.

47 Specific methods MAC: (Marker-And-Cell) VOF: (Volume-of-Fluid) level-set phase-field CIP Numerical implementations of interface sub-models Main categories Grid manipulation Front capturing: implicit interface representation Front-tracking: parametric interface representation Full Lagrangian E.g. SPH

48 Front tracking methods on a fixed grid by connected marker points (Suits the parametric mathematical description) In 3D: triangulated unstructured grid represents the surface Tasks to solve: Advecting the front Interaction with the grid (efficient data structures are needed!) Merging and splitting (hard!)

49 Incomplete without class notes ! MAC (Marker-And-Cell method) An interface reconstruction front capturing model (the primary variable is the characteristic function of the phase domain, the interface is reconstructed from this information) The naive numerical implementation of the mathematical transport equation : –1st (later 2nd) order upwind differential scheme Errors (characteristic to other methods as well!): –numerical diffusion in the 1st order –numerical oscillation in higher orders Due to the discontinuities of the function

50 MAC Incomplete without class notes !

51 VOF (Volume-Of-Fluid method) 1D version (1st order explicit in time): Gives a sharp interface, conserves mass Requires special algorithmic handling The scheme of evolution:

52 VOF in 2D and 3D PLIC: Piecewise Linear Interface Construction SLIC: Simple Line Interface Construction Hirt & Nichols

53 Numerical steps of VOF 1.Interface reconstruction within the cell 1.determine n several schemes 2.position straight interface 2.Interface advection several schemes exist, goals: conserve mass exactly avoid diffusion avoid oscillations 3.Compute the surface tension force in the Navier–Stokes eqs. several schemes

54 Implementation of VOF in Any number of phases can be present The transport equation for is adapted to allow –variable density of phases –mass transport between phases Contact angle model at solid walls is coupled Special (`open channel´) boundary conditions for VOF Surface tension is implemented as a continuous surface force in the momentum equation For the flux calculations ANSYS FLUENT can use one of the following schemes: –Geometric Reconstruction –Geometric Reconstruction: PLIC, adapted to non- structured grids –Donor-Acceptor –Donor-Acceptor: Hirt & Nichols, for quadrilateral or hexahedral grid only –Compressive Interface Capturing Scheme for Arbitrary Meshes (CICSAM) –Compressive Interface Capturing Scheme for Arbitrary Meshes (CICSAM): a general purpose sheme for sharp jumps (e.g. high ratios of viscosities) for arbitrary meshes –Any of its standard schemes (probably diffuse and oscillate)

55 The level set method [hu: nívófelület-módszer] the interface is implicit F is continuous –standard advection schemes work fine the curvature can be obtained easily the effect of surface tension within a cell can be computed

56 If then the computational demand can be substantially decreased The level set method

57 Signed distance function as an implicit level-set function What kind of function is it? Signed distance from the interface! Alas, is not conserved. Generating F : τ is pseudo- time ( t is not changed) Apply alternatively! Unfortunately, mass is not conserved in the numeric implementation. A better numeric scheme

58 Numerical implementation of the interfacial source terms in the transport equations Only first order accurate in h With ε = 1.5h, the interface forces are smeared out to a three-cell thick band

59 For example, the normal jump condition due to surface tension can be expressed as an embedded singular source term in the Navier– Stokes equation: –contribution to a single cell in a finite volume model: Other source terms (latent heat, mass flux) in the transport equations can be treated analogously. C.f. VOF

60 Level set demo simulations

61 Evaluation criteria for comparison Ability to –conserve mass/volume exactly –numerical stability –keep interfaces sharp (avoid numerical diffusion and oscillation) Ability and complexity to model –more than 2 phases –phase transitions –compressible fluid phases Demands on resources –number of equations –grid spacing –grid structure –time stepping –differentiation schemes Limitations of applicability –grid types –differential schemes –accuracy Not only for VOF and Level Set

62 Recommended books Stanley Osher, Ronald Fedkiw: Level Set Methods and Dynamic Implicit Surfaces Applied Mathematical Sciences, Vol. 153 (Springer, 2003). ISBN level set –Details on the level set method Grétar Tryggvason, Ruben Scardovelli, Stéphane Zaleski: Direct Numerical Simulations of Gas– Liquid Multiphase Flows (Cambridge, 2011). ISBN VOFfront tracking –Modern solutions in VOF and front tracking

63 SPH Smoothed Particle Hydrodynamics The other extreme a meshless method: The fluid is entirely modelled by moving representative fluid particles fully Lagrangian There are no –mesh cells –interfaces –PDE –field variables Everything is described via ODEs

64 SPH simulation of hydraulic jump Fr 1 = 1.37 Fr 1 = 1.88 Fr 1 = 1.15

65 SPH simulation of dam-break

66 Liquid vs. liquid-gas simulation Entrapped air Void bubble Vacuum Air

67 Evaluation of SPH Advantages Conceptually easy Best suits problems –in which inertia dominates (violent motion, transients, impacts) FSI modelling –with free surface or liquid– gas interface Interface develops naturally Computationally fast –Easy to parallelise –Can be adapted to GPUs Disadvantages High number of particles Hard to achieve incompressibility Some important boundary conditions are not realised so far


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