Contact line dynamics of a liquid meniscus advancing in a microchannel with chemical heterogeneities C. Wylock1, M. Pradas2, B. Haut1, P. Colinet1 and.

Slides:



Advertisements
Similar presentations
LATTICE BOLTZMANN SIMULATIONS OF COMPLEX FLUIDS Alexandre Dupuis Davide Marenduzzo Julia Yeomans FROM LIQUID CRYSTALS TO SUPERHYDROPHOBIC SUBSTRATES Rudolph.
Advertisements

Charles A. Ward Thermodynamics and Kinetics Laboratory, University of Toronto Fluid Behavior In Absence Of Gravity: Confined Fluids and Phase Change Second.
XI International Conference on COMPUTATIONAL PLASTICITY FUNDAMENTALS AND APPLICATIONS COMPLAS XI 7-9 September 2011 Barcelona - Spain Multiscale Modelling.
Mesoscopic nonequilibrium thermoydnamics Application to interfacial phenomena Dynamics of Complex Fluid-Fluid Interfaces Leiden, 2011 Miguel Rubi.
Dongxiao Zhang Mewbourne School of Petroleum and Geological Engineering The University of Oklahoma “Probability and Materials: from Nano- to Macro-Scale”
Self-propelled motion of a fluid droplet under chemical reaction Shunsuke Yabunaka 1, Takao Ohta 1, Natsuhiko Yoshinaga 2 1)Department of physics, Kyoto.
Electro-Hydro-Dynamics Enhancement of Multi-phase Heat Transfer
Coupling between mass transfer and chemical reactions during the absorption of CO2 in a NaHCO3-Na2CO3 brine : experimental and theoretical study CRE XI,
Multiphase and Reactive Flow Modelling BMEGEÁTMW07 K. G. Szabó Dept. of Hydraulic and Water Management Engineering, Faculty of Civil Engineering Spring.
Drops on patterned surfaces Halim Kusumaatmaja Alexandre Dupuis Julia Yeomans.
Mitglied der Helmholtz-Gemeinschaft E. A. Brener Institut für Festkörperforschung, Pattern formation during diffusion limited transformations in solids.
Hydrodynamic Slip Boundary Condition for the Moving Contact Line in collaboration with Xiao-Ping Wang (Mathematics Dept, HKUST) Ping Sheng (Physics Dept,
Results It was found that variations in wettability disturb the flow of adjacent liquid (Fig. 3). Our results suggest that for a given liquid the normal.
Materials with voids T.A. Abinandanan & R. Mukherjee Department of Materials Engineering Indian Institute of Science Bangalore, India.
Two Approaches to Multiphysics Modeling Sun, Yongqi FAU Erlangen-Nürnberg.
A variational approach to the moving contact line hydrodynamics
James Sprittles ECS 2007 Viscous Flow Over a Chemically Patterned Surface J.E. Sprittles Y.D. Shikhmurzaev.
Numerical analysis of simultaneous heat and mass transfer during absorption of polluted gases by cloud droplets T. Elperin, A. Fominykh and B. Krasovitov.
Hydrodynamic Slip Boundary Condition for the Moving Contact Line in collaboration with Xiao-Ping Wang (Mathematics Dept, HKUST) Ping Sheng (Physics Dept,
A phase field model for binary fluid-surfactant system
Injection Flows in a Heterogeneous Porous Medium Ching-Yao Chen & P.-Y. Yan Department of Mechanical Engineering National Chiao Tung University National.
Biointerfacial Characterization Lecture 1 Sep. 7, 2006 Prof. Prabhas Moghe BME 125:583.
Class Introduction to mixture models Overview of 3D approaches.
Flow and Thermal Considerations
Dr James Sprittles Mathematics Institute, University of Warwick Science of Inkjet and Printed Drops, November 2014.
Absorbing Phase Transitions
Invasion of a sticky random solid: Self-established potential gradient, phase separation and criticality at dynamical equilibrium S. B. SANTRA Department.
Anna C. Balazs Jae Youn Lee Gavin A. Buxton Olga Kuksenok Kevin Good Valeriy V. Ginzburg* Chemical Engineering Department University of Pittsburgh Pittsburgh,
Forestry 485 Lecture 2-3-2: Wood Surface Properties, Part II.
James Sprittles BAMC 2007 Viscous Flow Over a Chemically Patterned Surface J.E Sprittles Y.D. Shikhmurzaev.
Progressive Energy Dynamics: Key to Low Standoff Cleaning The Science of Cleaning PED.
A Hybrid Particle-Mesh Method for Viscous, Incompressible, Multiphase Flows Jie LIU, Seiichi KOSHIZUKA Yoshiaki OKA The University of Tokyo,
9/23/2015 KITPC - Membrane Biophysics 1 Modeling of Actomyosin Driven Cell Oscillations Xiaoqiang Wang Florida State Univ.
Brookhaven Science Associates U.S. Department of Energy MUTAC Review April , 2004, LBNL Target Simulation Roman Samulyak, in collaboration with.
A Kinetic Monte Carlo Study Of Ordering in a Binary Alloy Group 3: Tim Drews (ChE) Dan Finkenstadt (Physics) Xuemin Gu (MSE) CSE 373/MatSE 385/Physics.
The Onsager Principle and Hydrodynamic Boundary Conditions Ping Sheng Department of Physics and William Mong Institute of Nano Science and Technology The.
Multiscale analysis of gas absorption in liquids Wylock, Dehaeck, Mikaelian, Larcy, Talbot, Colinet, Haut Transfers, Interfaces and Processes (TIPs) Université.
Yoon kichul Department of Mechanical Engineering Seoul National University Multi-scale Heat Conduction.
1 LES of Turbulent Flows: Lecture 16 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Fall 2014.
Upscaling of Transport Processes in Porous Media with Biofilms in Non-Equilibrium Conditions L. Orgogozo 1, F. Golfier 1, M.A. Buès 1, B. Wood 2, M. Quintard.
Electron behaviour in three-dimensional collisionless magnetic reconnection A. Perona 1, D. Borgogno 2, D. Grasso 2,3 1 CFSA, Department of Physics, University.
LATTICE BOLTZMANN SIMULATIONS OF COMPLEX FLUIDS Julia Yeomans Rudolph Peierls Centre for Theoretical Physics University of Oxford.
Case Study Tutorial Wetting and Non-Wetting Basics of Wetting 1.
Experimental study of gas-liquid mass transfer coupled with chemical reactions by digital holographic interferometry C. Wylock, S. Dehaeck, T. Cartage,
INTRODUCTION Many heat and mass transfer processes in column apparatuses may be described by the convection – diffusion equation with a volume reaction.
Computational Fluid Dynamics Applied to the Analysis of 10-mm Hydrocyclone Solids Separation Performance S. A. Grady, M. M. Abdullah, and G. D. Wesson.
DAMAGE SPREADING PHASE TRANSITIONS IN A THEMAL ROUGHENING MODEL Yup Kim with C. K. Lee Kyung Hee Univ. Ref.: 1. Yup Kim and C. K. Lee, Phys. Rev E 62,
Lecture #6 Ehsan Roohi Sharif University of Technology Aerospace Engineering Department 1.
Study of the gas-liquid CO 2 absorption in aqueous monoethanolamine solutions: development of a new experimental tool C. Wylock, S. Dehaeck, E. Boulay,
M1 Master Nuclear Energy 29th June 2015
Contact line dynamics of a liquid meniscus advancing into a microchannel with chemical heterogeneities C. Wylock 1, M. Pradas 2, B. Haut 1, P. Colinet.
Two-phase hydrodynamic model for air entrainment at moving contact line Tak Shing Chan and Jacco Snoeijer Physics of Fluids Group Faculty of Science and.
Brookhaven Science Associates U.S. Department of Energy MUTAC Review April , 2004, BNL Target Simulations Roman Samulyak in collaboration with Y.
Convection Heat Transfer in Manufacturing Processes P M V Subbarao Professor Mechanical Engineering Department I I T Delhi Mode of Heat Transfer due to.
CONVECTION : An Activity at Solid Boundary P M V Subbarao Associate Professor Mechanical Engineering Department IIT Delhi Identify and Compute Gradients.
Modelling immiscible displacement in porous rocks with LBM models
WETTING AND NON-WETTING
Incomplete without class notes
The Science of Cleaning Green
Hydrodynamics of slowly miscible liquids
Effects of Air Pressure and Wettability on Drop Impact on Dry Surfaces Taehun Lee, Department of Mechanical Engineering, City University of New York,
Fast Casters – Project Update April 27, 2006
A First Course on Kinetics and Reaction Engineering
Nanofluids: A Review Wednesday, 3rd March 2010.
Jeffrey R. Errington, Department of Chemical & Biological Engineering,
Effsys expand May 18, 2016.
Numerical Modeling of Fluid Droplet Spreading and Contact Angle Hysteresis Nikolai V. Priezjev, Mechanical Engineering, Michigan State University, MI
Adsorption hysteresis in mesopores.
Numerical Simulation of Immiscible Multiphase Flows Using
Presentation transcript:

Contact line dynamics of a liquid meniscus advancing in a microchannel with chemical heterogeneities C. Wylock1, M. Pradas2, B. Haut1, P. Colinet1 and S. Kalliadasis2 1 Université Libre de Bruxelles – Transfers, Interfaces and Processes 2 Imperial College London – Chemical Engineering Department International Conference on Multiscale Complex Fluid Flows and Interfacial Phenomena MULTIFLOW 2010 Brussels, Belgium In this work, we aim to study the motion of a liquid meniscus and associated contact lines advancing into a microchannel with chemically heterogeneous inner walls.

Goal Gas-liquid meniscus moving in a "Hele-Shaw cell like " microchannel Surface chemically heterogeneous  spatial distribution of wetting properties 2 configurations Effect of chemical heterogeneities on meniscus dynamics ? 3D configuration 2D configuration Especially, we are interested in the the contact line motion of a gas-liquid meniscus when the liquid forced to flow between two parallel flat plates separated by a narrow distance as it is typically the case with a Hele-Shaw cell. The surface of the plates is taken to be chemically heterogeneous inducing a spatial distribution of the wetting properties 2 configurations are investigated, as depicted on these 2 figures. You can see the walls of the channel and the liquid moving, advancing or receding, in the channel Firstly, a 2-dimensionnal configuration is considered, where the wetting properties are uniform in the transverse direction of the flow. Secondly, a 3-dimensional configuration, presented on the right is considered, where the wetting properties are random in both directions of the flow. Of particular interest is the influence of the chemical disorder strength under constant forced flow conditions on the meniscus dynamic

Modelling Phase field approach f represents the 2 phases Interface at f=0 A Cahn-Hilliard phase field model is used to describe the interface separating the two phases of the system. Here is a schematic representation of the phase field profile, phi, in one dimension. In this approach, the interface is not sharp but diffuse, and the thickness of this interface is controlled by the parameter epsilon. The equilibrium values phi_e = +1 and phi_e = -1 represent the liquid and the air phases, respectively, and the interface position is then located at phi = 0.

Modelling Phase field approach f represents the 2 phases Interface at f=0 Equilibrium given by Ginzburg-Landau model Free energy formulation Double-well potential This model is based on a Ginzburg-Landau formulation of the free energy of the system for a locally conserved field phi, which is given by this functional equation. This term represents the free energy density function, where V is a potential, usually chosen to have a double-well form as presented in this figure in equilibrium situation, and it is combined with the square gradient term to ensure the existence of a well defined interface with a width of the order of epsilon. The chemical potential can also be defined as the change in this functional for a local change in concentration. Chemical potential

Modelling Phase field approach f represents the 2 phases Interface at f=0 Equilibrium given by Ginzburg-Landau model Free energy formulation Double-well potential When this potential is destabilized, in one of the two phases as presented in this figure, by applying a pressure in the liquid phase for instance, it forces the interface to advance at the expense of the air phase. Therefore, this approach enables contact line motion by diffusive interfacial fluxes. Chemical potential

Modelling Wetting boundary condition Conserved dynamic equation with Standard deviation s = disorder strength [1] with When the phases spread on a solid surface, the interactions/capillary effects can be included in the model by adding such a terme in the free energy, following the Cahn formulation , which destabilize one of the 2 phases and therefore favorize one of the phase From this formulation can be derived this equation for the phase field time evolution and this wetting boundary condition on the wall surfaces. The form of this f function is chosen like that, where A represents a stochastic variable that plays the role of the chemical disorder on the wall surfaces. The A values follow a normal distribution and therefore is characterised by its average and its standard deviation sigma, which characterises its strength. For a constant value of A, the corresponding equilibrium contact angle can be obtained by this relation. The dynamical evolution of the phase field is therefore given by this conserved dynamic equation, where M is a mobility parameter that can depend on phi (it is chosen as a constant in the liquid phase and equals to zero in the gasesous phase) [1] Cahn, J. Chem. Phys. 66 (1977), 3667

Results and discussion 2D configuration Typical simulation result Statistical analysis on several disorder realisations Now, I will present you a typical simulation results for the 2D configuration. In this short movie, you see the time evolution of a gas-liquid meniscus when the liquid is forced to advance in the microchannel. For this configuration, we are especially interested in the behaviour of the contact angle of this meniscus on the solid surface when the liquid move in this chemically heterogeneous channel. We have a statistical analysis of our numerical results by generating a sufficiently large number of the chemical disorder realisations and our analysis shows that the apparent contact angle suffers of a hysteresis behaviour induced by the disorder of the walls. In this figure is presented the contact angle, averaged on several realisations, as a function of the mean interface velocity. Positive values correspond to advancing motion and negative value to receding motion. The black points and line correspond to a homogeneous case, without disorder

Results and discussion 2D configuration Typical simulation result Statistical analysis on several disorder realisations With chemical disorder, we observe a hysteresis jump

Results and discussion 2D configuration Typical simulation result Statistical analysis on several disorder realisations

Results and discussion 2D configuration Typical simulation result Statistical analysis on several disorder realisations

Results and discussion 2D configuration Typical simulation result Statistical analysis on several disorder realisations Moreover we observe the contact angle hysteresis is enhanced by the disorder strength. This jump is increased with an increase of the disorder strength, as you can observe on the graph on the right, where are presented the widths of the contact angle gap at the zero velocity as a function of the strength Chemical disorder  contact angle hysteresis enhanced by disorder strength

Results and discussion 3D configuration Typical simulation results Contact line dynamics: preliminary analysis interface width follows fractal dynamics ( scale-invariant growth) pinning-depinning effects avalanche dynamics induced by the chemical disorder  Statistical analysis to perform for various disorder configurations Now for the 3D configuration, here is a short movie presenting a typical simulation results. For this configuration, we are interested in the behaviour on the contact line of the meniscus on the wall surface. In this movie, the two inner walls are presented. The blue area is the wetted part of the walls. The wetting properties of the dry part are presented in gray level, the white zones correspond to hydrophilic zone and the black zone to hydrophobic zone. Our preliminary numerical results show several effects induced by the chemical disorders. The mean interface width follows fractal dynamics when the liquid invades the channel. Moreover, pinning and depinning events and associated avalanche dynamics are observed under certain conditions. A statiscal analysis has now to be performed for various disorder configurations in order to characterize these effects.

Conclusion and future plans Phase field  contact line dynamics in chemically heterogeneous microchannel Chemical disorder induces 2D: hysteresis of contact angle  hysteresis “jump” function of disorder strength 3D: kinetic roughening process of contact line motion, pinning-depinning effects Future plans Statistical analysis for 3D configuration: Characterization of the scaling growth factors Avalanche dynamics In conclusion, the phase field approach enables to study the contact line dynamics of a gas-liquid meniscus in motion in a chemically heterogeneous microchannel. We observe several phenomena induced by the chemical disorder: in the 2D configuration, a statistical analysis reveals that the contact angle suffers of hysteresis behaviour which is enhanced by the disorder strength for the 3D configuration, we observe a kinetic roughening process of the contact line motion : the mean interface width follows fractal dynamics. We observe also pinning-depinning effect and associated avalanche dynamics. Our future plan is to perform a detailed statistical analysis in the 3D configuration in order reach a good characterization of the fractal scaling growth factors and the statistical behaviour of the avalanche events.

Modelling Boundary conditions for 2D configuration

Modelling Boundary conditions for 3D configuration

Results and discussion 2D configuration Typical simulation result Statistical analysis on several disorder realisations Chemical disorder  contact angle hysteresis enhanced by disorder strength

Results and discussion 3D configuration Typical simulation results Contact line dynamic: preliminary analysis interface width growth follows fractal dynamic

Results and discussion 3D configuration Typical simulation results Contact line dynamic: preliminary analysis interface width growth follows fractal dynamic ( size-invariant scaling factors) pinning-depinning effect s avalanche dynamic Pinning site Avalanche site