The lattice Boltzmann method for contact line dynamics

Similar documents
Physical Modeling of Multiphase flow. Boltzmann method

Simulation of T-junction using LBM and VOF ENERGY 224 Final Project Yifan Wang,

LATTICE BOLTZMANN MODELLING OF PULSATILE FLOW USING MOMENT BOUNDARY CONDITIONS

External and Internal Incompressible Viscous Flows Computation using Taylor Series Expansion and Least Square based Lattice Boltzmann Method

Lattice Boltzmann Method for Fluid Simulations

contact line dynamics

arxiv: v1 [physics.flu-dyn] 27 May 2013

Free energy concept Free energy approach LBM implementation Parameters

Lattice Boltzmann Method for Fluid Simulations

Lattice Boltzmann Method

Simulation of 2D non-isothermal flows in slits using lattice Boltzmann method

Hydrodynamics of wetting phenomena. Jacco Snoeijer PHYSICS OF FLUIDS

APPRAISAL OF FLOW SIMULATION BY THE LATTICE BOLTZMANN METHOD

Simulation of floating bodies with lattice Boltzmann

Lattice Boltzmann Method for Moving Boundaries

A Momentum Exchange-based Immersed Boundary-Lattice. Boltzmann Method for Fluid Structure Interaction

Lattice Boltzmann Methods for Fluid Dynamics

PREDICTION OF INTRINSIC PERMEABILITIES WITH LATTICE BOLTZMANN METHOD

Differential relations for fluid flow

Lattice Boltzmann Modeling of Wave Propagation and Reflection in the Presence of Walls and Blocks

Research of Micro-Rectangular-Channel Flow Based on Lattice Boltzmann Method

(Super) Fluid Dynamics. Thomas Schaefer, North Carolina State University

6.2 Governing Equations for Natural Convection

1 Introduction to Governing Equations 2 1a Methodology... 2

Chapter 9: Differential Analysis of Fluid Flow

General relativistic computation of shocks in accretion disc and bipolar jets

Anisotropic fluid dynamics. Thomas Schaefer, North Carolina State University

Spatial discretization scheme for incompressible viscous flows

Lattice Boltzmann methods Summer term Cumulant-based LBM. 25. July 2017

Offshore Hydromechanics Module 1

Lattice Boltzmann approach to liquid - vapour separation

arxiv:comp-gas/ v1 28 Apr 1993

V (r,t) = i ˆ u( x, y,z,t) + ˆ j v( x, y,z,t) + k ˆ w( x, y, z,t)

Numerical Investigation of Fluid and Thermal Flow in a Differentially Heated Side Enclosure walls at Various Inclination Angles

Chapter 9: Differential Analysis

MAE 101A. Homework 7 - Solutions 3/12/2018

UNIVERSITY OF OSLO. Faculty of Mathematics and Natural Sciences. MEK4300/9300 Viscous flow og turbulence

The lattice Boltzmann equation: background and boundary conditions

Cumulant-based LBM. Repetition: LBM and notation. Content. Computational Fluid Dynamics. 1. Repetition: LBM and notation Discretization SRT-equation

Schemes for Mixture Modeling

The official electronic file of this thesis or dissertation is maintained by the University Libraries on behalf of The Graduate School at Stony Brook

Exercise 5: Exact Solutions to the Navier-Stokes Equations I

Analysis and boundary condition of the lattice Boltzmann BGK model with two velocity components

SEMICLASSICAL LATTICE BOLTZMANN EQUATION HYDRODYNAMICS

Chiral Magnetic and Vortical Effects at Weak Coupling

Fluid Dynamics for Ocean and Environmental Engineering Homework #2 Viscous Flow

Candidates must show on each answer book the type of calculator used. Log Tables, Statistical Tables and Graph Paper are available on request.

2.5 Stokes flow past a sphere

Hydrodynamics. Stefan Flörchinger (Heidelberg) Heidelberg, 3 May 2010

Connection Between the Lattice Boltzmann Equation and the Beam Scheme

On pressure and velocity boundary conditions for the lattice Boltzmann BGK model

Chapter 6: Incompressible Inviscid Flow

A Compact and Efficient Lattice Boltzmann Scheme to Simulate Complex Thermal Fluid Flows

Flow in Corrugated Pipes

Using LBM to Investigate the Effects of Solid-Porous Block in Channel

Lattice Boltzmann model for the Elder problem

Application of the Lattice-Boltzmann method in flow acoustics

- Marine Hydrodynamics. Lecture 4. Knowns Equations # Unknowns # (conservation of mass) (conservation of momentum)


Predictor-Corrector Finite-Difference Lattice Boltzmann Schemes

LATTICE BOLTZMANN SIMULATION OF FLUID FLOW IN A LID DRIVEN CAVITY

Principles of Convection

NON-DARCY POROUS MEDIA FLOW IN NO-SLIP AND SLIP REGIMES

Fluid Dynamics Exercises and questions for the course

IMPLEMENTING THE LATTICE-BOLTZMANN

Lattice Boltzmann Method

SIMULATION OF MIXED CONVECTIVE HEAT TRANSFER USING LATTICE BOLTZMANN METHOD

Review of Fluid Mechanics

On the lattice Boltzmann method for multiphase flows

Simplifications to Conservation Equations

dynamics of f luids in porous media

Summary of Dimensionless Numbers of Fluid Mechanics and Heat Transfer

Study on lattice Boltzmann method/ large eddy simulation and its application at high Reynolds number flow

ENGR Heat Transfer II

Generalized Local Equilibrium in the Cascaded Lattice Boltzmann Method. Abstract

Simulation of Lid-driven Cavity Flow by Parallel Implementation of Lattice Boltzmann Method on GPUs

Flow simulation of fiber reinforced self compacting concrete using Lattice Boltzmann method

Chapter 2: Fluid Dynamics Review

F11AE1 1. C = ρν r r. r u z r

Experimental and Theoretical Study of Motion of Drops on Horizontal Solid Surfaces with a Wettability Gradient Nadjoua Moumen

Numerical Simulation of Viscous Fingering Phenomenon in Immiscible Displacement of Two Fluids in Porous Media Using Lattice Boltzmann Method

Simulation of Rarefied Gas Flow in Slip and Transitional Regimes by the Lattice Boltzmann Method

ME615 Project Presentation Aeroacoustic Simulations using Lattice Boltzmann Method

Week 2 Notes, Math 865, Tanveer

Fluid dynamics is the study of flows of fluid. However, before we begin discussing the dynamics of

Fluid Equations for Rarefied Gases

Advantages of a Finite Extensible Nonlinear Elastic Potential in Lattice Boltzmann Simulations

On the relation between lattice variables and physical quantities in lattice Boltzmann simulations

Boundary Conditions for the Moving Contact Line Problem. Abstract

Equivalence between kinetic method for fluid-dynamic equation and macroscopic finite-difference scheme

Investigation of an implicit solver for the simulation of bubble oscillations using Basilisk

Lattice Boltzmann Model

2 D.D. Joseph To make things simple, consider flow in two dimensions over a body obeying the equations ρ ρ v = 0;

UNIVERSITY of LIMERICK

Multiscale simulations of sliding droplets

Microscopic Momentum Balance Equation (Navier-Stokes)

Vorticity Equation Marine Hydrodynamics Lecture 9. Return to viscous incompressible flow. N-S equation: v. Now: v = v + = 0 incompressible

LATTICE BOLTZMANN AND FINITE VOLUME SIMULATIONS OF MULTIPHASE FLOW IN BGA ENCAPSULATION PROCESS

Hydrodynamics, Thermodynamics, and Mathematics

FLUID MECHANICS. Chapter 9 Flow over Immersed Bodies

Transcription:

The lattice Boltzmann method for contact line dynamics Sudhir Srivastava, J.H.M. ten Thije Boonkkamp, Federico Toschi April 13, 2011

Overview 1 Problem description 2 Huh and Scriven model 3 Lattice Boltzmann method (LBM) LBM for multiphase flow 4 Results 5 Summary

Problem description Contact line g x d A A h U < Uc U = 0 θe B B Dry substrate a θd Figure: 2D schematic for plunging plate problem. Lens Water Wafer Advancing Contact line U = 0 Figure: 2D schematic for immersion lithography. U

Problem description Contact line g x d A A h U < Uc U = 0 θe B B Dry substrate a θd Figure: 2D schematic for plunging plate problem. Lens Water Wafer Advancing Contact line U = 0 Figure: 2D schematic for immersion lithography. U

Analytical model (Huh and Scriven 1971) Stokes flow approximation For incompressible flow in 2D the velocity field (u r, u φ ) in terms of stream function ψ(r, φ) is given by: u r = 1 r ψ φ, u φ = ψ r, moreover ψ satisfies the biharmonic equation: 4 ψ = 0. Assuming that the velocity is bounded at r = 0 and as r, we have (Michell 1899) ψ = r(a sin φ + b cos φ + cφ sin φ + dφ cos φ).

Boundary and interface conditions Solution applies to both fluid so we have 8 unknowns. P haseb (r, φ) P hasea θ d U a Figure: Model of contact line motion. ψ B / r = 0, at φ = 0, φ = θ d, ψ A / r = 0, at φ = θ d, φ = π, ψ A / φ = ψ B / φ, at φ = θ d, 2 ψ A µ A 2 φ = µ 2 ψ B B 2 φ, at φ = θ d, r 1 ψ B θ r 1 ψ A θ = U, at φ = 0, = U, at φ = π.

50 45 40 35 30 25 20 15 10 5 10 20 30 40 50 60 70 80 90 100 With these boundary condition biharmonic equation has a unique solution: ψ A = r(a A sin φ + b A cos φ + c A φ sin φ + d A φ cos φ) ψ B = r(a B sin φ + b B cos φ + c B φ sin φ + d B φ cos φ). R = 0.16946, θd = 70o, U = 0.01 Figure: Streamline and velocity field for θ d = 70 plate velocity U = 0.01, and viscosity ratio R = 0.1695.

Viscous dissipation Viscous dissipation rate: which gives Ė vis = 2µ A L λ π θ d e ij e ij rdφdr + 2µ B e rr = e φφ = 0, e rφ = r 2 r ( uφ r Ė vis log(l/λ). L θd λ 0 ) + 1 u r 2r φ. e ij e ij rdφdr, Using no-slip boundary conditions to a flow close to contact line leads to energy dissipation (Ė vis ) which is logarithmically diverging (Huh and Scriven 1971). Which is not true in reality.

Viscous dissipation Viscous dissipation rate: which gives Ė vis = 2µ A L λ π θ d e ij e ij rdφdr + 2µ B e rr = e φφ = 0, e rφ = r 2 r ( uφ r Ė vis log(l/λ). L θd λ 0 ) + 1 u r 2r φ. e ij e ij rdφdr, Using no-slip boundary conditions to a flow close to contact line leads to energy dissipation (Ė vis ) which is logarithmically diverging (Huh and Scriven 1971). Which is not true in reality.

Viscous dissipation Viscous dissipation rate: which gives Ė vis = 2µ A L λ π θ d e ij e ij rdφdr + 2µ B e rr = e φφ = 0, e rφ = r 2 r ( uφ r Ė vis log(l/λ). L θd λ 0 ) + 1 u r 2r φ. e ij e ij rdφdr, Using no-slip boundary conditions to a flow close to contact line leads to energy dissipation (Ė vis ) which is logarithmically diverging (Huh and Scriven 1971). Which is not true in reality.

Use small length scale parameter l s (effective slip length) to remove viscous singularity i.e. u = u wall + l s u n. The slip length parameter l s must be found experimentally because it may depend on plate velocity. No distinction between microscopic and apparent contact angle. In the multiphase lattice Boltzmann method effective slip length can be a consequence of choice of boundary conditions, also the numerical discretization induces a cut off length which removes the viscous singularity.

Use small length scale parameter l s (effective slip length) to remove viscous singularity i.e. u = u wall + l s u n. The slip length parameter l s must be found experimentally because it may depend on plate velocity. No distinction between microscopic and apparent contact angle. In the multiphase lattice Boltzmann method effective slip length can be a consequence of choice of boundary conditions, also the numerical discretization induces a cut off length which removes the viscous singularity.

Lattice Boltzmann method (D2Q9 model) If x is a point in 2D Cartesian coordinates C6 C 2 C 5 C 3 x C 1 C 7 C4 C 8 Figure: D2Q9 lattice

Lattice Boltzmann method (D2Q9 model) If x is a point in 2D Cartesian coordinates C6 C 2 C 5 C 3 x C 1 C 7 C4 C 8 Figure: D2Q9 lattice f i (x + c i t, t + t) f i (x, t) }{{} = fi(x, t) f eq i (ρ, u), }{{ τ } streaming collision where i {0, 1,, 8} is the velocity index, and τ is the relaxation parameter.

Equilibrium distribution function The equilibrium distribution function f eq i { f eq i (ρ, u) = W i ρ 1 + 1 c 2 (c i u) + 1 s 2c 2 s given by [ 1 c 2 s ]} (c i u) 2 u u, where c s is the sound speed in LBM, for D2Q9 model c s = 1/ 3. f eq i is second order approximation of the Maxwell-Boltzmann distribution function, W i are the weights corresponding to D2Q9 model. Hydrodynamic variables: ρ(x, t) = 8 f i (x, t), (ρu)(x, t) = i=0 8 c i f i (x, t). i=0

Multiphase flow Shan-Chen model 1 Inter-particle potential : If x, x in 2D Cartesian coordinate system V(x, x ) := G(x, x )ψ(x)ψ(x ), where G is the interaction parameter, ψ(ρ) = 1 exp( ρ) is the effective density. x x 1 PRE Shan-Chen 1993-94

Multiphase flow Shan-Chen model (Shan-Chen 1993-94) Inter-particle potential : If x, x in 2D Cartesian coordinate system V(x, x ) := G(x, x )ψ(x)ψ(x ), where G is the interaction parameter, ψ(ρ) = {1 exp( ρ)} is the effective density. Restrict to nearest neighbor interaction { G(x, x G for x x ) = = c, 0 otherwise. x

Multiphase flow Net momentum at x is given by F(x) = Gψ(x) i W i ψ(x + c i t)c i Shift in momentum in f eq lim F(x) = V(x) c 0 ρu (x) = ρu(x) + τf(x). Under sufficient low Mach number assumption the Chapman-Enskog expansion(wolf-gladrow, Dieter 2000) gives us the continuity and momentum balance equations for multiphase flow.

Phase diagram This change in the velocity modifies the pressure p. The modified pressure is given by p = ρc 2 s + G 2 c2 s ψ 2. 0.7 0.6 0.5 G = -4 G = -5 G = -6 G = -7 0.4 Pressure(P) 0.3 0.2 0.1 0-0.1-0.2-0.3 0 0.5 1 1.5 2 2.5 3 3.5 4 Density (ρ) Figure: Phase diagram showing that below the critical value of G there is no phase separation.

Numerical Simulation and Results Open boundary SIZEX SIZEY = 1024 1024, τ = 1, ν = 0.1667, γ = 0.0266, G = 4.5, ρ l = 1.493, ρ v = 0.253, R = 0.17, ρ w = 1.1(θ e = 45 ± 5 o ), Body Force(g) = 6.4778 10 7. Hydrostatic pressure Body force No flux No flux θ e Wettable wall + No slip Figure: Schematic for the boundary conditions used for the simulation of plunging plate problem. Boundary Conditions: Wettable bottom wall θ e 50 o, Body force in -x direction, pressure gradient in x-direction, No slip at south boundary, open-boundary (fluid is at equilibrium) north boundary.

Results Y 50 45 40 35 30 25 20 15 10 5 0 HS velocity field LBM density contour LBM velocity field time =3900000 U plate = 0.03 520 530 540 550 560 570 580 590 600 610 X Figure: Comparison of Huh-Scriven velocity field and the velocity field obtained from lattice Boltzmann multiphase simulations

Results 100 100 15 15 80 20 80 20 60 25 60 25 40 30 40 30 20 35 20 35 0 480 500 520 540 560 580 600 620 640 660 40 0 480 500 520 540 560 580 600 620 640 660 Figure: Local viscous dissipation rate calculated form the velocity field obtained form the Huh-Scriven velocity field (right figure) and lattice Boltzmann multiphase simulations (left figure). 40

Results 8 x time =3900000,λ = 30,U = 0.03 plate 10 4 300 HS velocity field 1000 LB velocity field 800 7 250 600 Viscous Dissipation Rate 6 5 4 3 200 150 100 400 200 200 400 600 800 1000 2 50 1 10 1 10 2 10 3 L 0 500 520 540 560 580 600 620 640 660 680 700 Figure: Viscous dissipation rate versus L (radial distance form contact line) for plate velocity 0.03(left), Interface position (right).

Conclusion and Future Work Various boundary conditions for multiphase LBM has been implemented and tested. LBM is in good agreement with the dissipation model in the outer region. Study of capillary number for plunging plate problem depending on various density ratios and contact angles needs to be done. Implementation of multi-range Shan-Chen model.

Thank you!