SlideShare ist ein Scribd-Unternehmen logo
1 von 31
Downloaden Sie, um offline zu lesen
Forced Fluid Imbibition
in a Powder-Packed Column
  Jinwu Wang, Post Doctoral Associate
   Sheldon Q. Shi, Assistant Professor

     Department of Forest Products
      Mississippi State University
Objectives
Develop a tool to measure contact angles
and surface energies for both
– Spontaneous and
– non-spontaneous imbibing liquids in powders
Current Problem
– Spontaneous inbibition is not achieved in many
  cases when the wetting angle is larger than 900
Explanation
When a rigid container is inserted into a fluid, the fluid will
rise in the container to a height higher than the surrounding
liquid




   Capillary Tube                                 Wedge                                 Sponge



                    Professor John Pelesko and Anson Carter, Department of Mathematics, University of Delaware
Velocity Field
            around the Moving Meniscus




Phys. Rev. Lett. (2007), Capillary Rise in Nanopores: Molecular Dynamics Evidence for the Lucas-Washburn Equation
Liquid Behaviors in Powders

                        A powder-packed column with radius R


              air
                       Assume that a powder-packed
            Liquid   column consists of numerous capillary
                     tubes: a wicking-equivalent effective
                     capillary radius

                       The same governing equations as
                     those applied to a capillary tube

Capillary action
Free Body Diagram
                                r

                                             Surface Tension
                                             External vacuum
                                                                  }Driving Forces
                                             Poiseuille Viscous Force
                                             Gravitation Force
                                             Inertial Force
                                      Z(t)
                                                Dragging Forces



List of Variables:
volume = πr2z
g = gravity
r = radius of capillary tube
z = rising height, measured to the bottom of the meniscus, at time t ≥ 0
ρ = density of the surface of the liquid
γ = surface tension
θ = contact angle between the surface of the liquid and the wall of the tube
Explanation of the Forces
   Surface Tension Force               2π r γ cos( θ )

   Gravitational Force         Fw = mg = ρπr 2 zg

   Poiseuille Viscous Force        Fdrag = 8πη z dz
                                                      dt

   Vacuum Force                                πr2ΔP

   Newton's Second Law of Motion
     d (mv) d ⎛ 2 dz ⎞      ⎛ d 2 z ⎛ dz ⎞2 ⎞
∑ F=
        dt  dt ⎝   dt ⎠
                          2 ⎜
           = ⎜πr zρ ⎟ = πr ρ z 2 + ⎜ ⎟ ⎟
                            ⎜ dt ⎝ dt ⎠ ⎟
                            ⎝               ⎠
Explanation of Differential Equation
 Newton's Second Law of Motion:
Net Force = Surface Tension Force +Vacuum
            - Poiseuitte Viscous Force - Gravitational Force

         ⎛ d 2 z ⎛ dz ⎞ 2 ⎞                           dz
   ρπr 2 ⎜ z 2 + ⎜ ⎟ ⎟ = 2πrγ cos(θ ) + πr 2 ΔP − 8πηz − ρgπr 2 z
         ⎜ dt    ⎝ dt ⎠ ⎠ ⎟                           dt
         ⎝

 Dividing by πr2, the differential equation becomes:

       ⎛Zo = Z(0) =⎛0dz ⎞ 2 ⎞ 2
           d 2z
     ρ ⎜z       +⎜ ⎟        ⎟ = γ cos(θ ) + ΔP − 8 ηz dz − ρgz
       ⎜ dt        ⎝ dt ⎠ ⎟ r
              2
       ⎝                    ⎠                    r 2 dt
                                         Boundary Conditions:
                                         z(0) = 0 and z’(z∞) = 0
The Effective Zone of Forces
                                        The size of each zone
                                        depends on the probe
                    Gravity Effective   liquid properties and
                    Zone                capillary structures




         z           Washburn Zone


         z0           Inertial Force

                         2               8 dz
                           γ cosθ + ΔP − 2 ηz − ρgz = 0
                         r               r     dt
    8η ⎛              ze               ⎞        2γ cos θ ΔP
t = 2   ⎜ z e ln
        ⎜                     − z (t ) ⎟
                                       ⎟   ze =         +
   r ρg ⎝        z e − z (t )          ⎠          ρgr     ρg
The Effect
               of Capillary Radius on Wicking

     Lucas-
   Washburn equation:

                               1/ 2
             ⎛ γ r cos θ   ⎞
  z (t )    =⎜             ⎟
        2
             ⎜ 2η          ⎟          t
             ⎝             ⎠

Is valid when
  Capillary diameter is small
  At initial rising period
  Viscous drag >> gravity force
  Density is low, inertia is small
Column Wicking Diagram




      Non-spontaneous inbibition
when the contact angle is larger than 900
         by applying vacuum                 spontaneous inbibition
Experimental Setup




Vacuum      Vacuum   Vacuum   Sample   Liquid
Regulator   Pump     Gauge
Rising Rate by Image Analysis




0s          2s           65 s     150 s    410 s    614 s     700 s
 Imbibing was recorded by camera video
 Scale was referenced with a caliper
 Advancing front line vs. time processed by ImageJ image analysis
Observations
                    0.07
                                                            Hexane Replicate 1
                    0.06
                                                                                     Energy loss due to
                                                            Hexane Replicate 2
Rising Height (m)




                    0.05                                                                   Contact angle,
                                                            Methanol, Experimental       partial wetting
                    0.04                                                                 (water)
                                                            Water, Experimental
                    0.03                                                                  Polar liquid
                                                            Hexane, theta = 0            swelling (methanol)
                    0.02
                                                            Methanol, theta = 0            Heat of wetting,
                    0.01
                                                                                         (water & methanol)
                                                            Water, theta = 0
                      0
                           0      100              200            300
                                        Time (s)

                                 γ       η           ρ
                                                             Assuming full wetting, i.e. contact angle is
                               mJ/m2    mPa.s      g/cm3
                                                           zero. Rising rates: Water > Hexane > Methanol
                    Hexane     18.4     0.326      0.65      Experimental: Hexane > Methanol > Water
                     Water     72.8       1          1       Some energy is not used for rising in water and
                    Methanol   22.5      0.54      0.79    methanol imbibitions
Reproducibility & Vacuum: Hexane
                        0.07
                                                        Replicate 1
                        0.06
                                                        Replicate 2

                        0.05                            Replicate 3

                                                        Replicate 4
                        0.04
    Rising height (m)




                                                        replicate 5
                        0.03
                                                        Vacuum 453 Pa
                        0.02                            Vacuum 1050 Pa

                        0.01                            Vacuum 4700 Pa

                                                        Vacuum 5800 Pa
                          0
                               0   20   40         60     80          100
                                          Time (s)


                 Reproducibility is good for hexane imbibitions
                 Rising rates increase with the vacuum
Reproducibility & Vacuum: Water
                     0.14
                                                                   Replicate 1
                     0.12                                          Replicate 2
                                                                   Replicate 3
                      0.1
                                                                   Replicate 4
 Rising Height (m)




                     0.08                                          Replicate 5
                                                                   Replicate 6
                     0.06                                          Vacuum 2237 Pa
                                                                   Vacuum 2362 Pa
                     0.04
                                                                   Vacuum 2658 Pa
                     0.02                                          Vacuum 2856 Pa

                       0
                            0   100   200     300      400   500        600
                                            Time (s)

Reproducibility for water is not as good as hexane imbibitions
Rising rates increase with the vacuum
Experimental Data: EG & Glycerol
                     0.1                                                                 0.06
                    0.09                                                                                          Vacuum 2,914 Pa
                    0.08                                                                 0.05                     Vacuum 26,319 Pa




                                                                    Rising Height (m)
                    0.07                                                                                          Vacuum 26,553 Pa
Rising Height (m)




                                                                                         0.04
                    0.06                                                                                          vacuum 23,496 Pa
                                                  Vacuum 2353 Pa
                    0.05                                                                 0.03                     Vacuum 22,668 Pa
                                                  Vacuum 2106 Pa
                    0.04
                                                  Vacuum 2053 Pa                         0.02
                    0.03
                    0.02                          Vacuum 2160 Pa
                    0.01                          Vacuum 2266 Pa                         0.01
                      0                           Vacuum 2160 Pa
                                                                                           0
                           0   100       200        300       400
                                                                                                0    500         1000      1500
                                       Time (s)                                                            Time (s)

                                       γ           η         ρ
                                     mJ/m2        mPa.s    g/cm3                        Ethylene glycol imbibes very slowly
             Hexane                  18.4         0.326    0.65                               without external vacuum
          Ethylene glycol             48           16.1    1.113                        Glycerol cannot imbibe spontaneously
             Glycerol                 64          1420     1.261
Results and Discussion
Define the effective capillary radius with
hexane
The effect of polar liquids
Energy loss constant
Contact angle with water
Vacuum induced slip
Effective Capillary Radius from Hexane
2               8 dz
  γ cosθ + ΔP − 2 ηz − ρgz = 0                   Effective Capillary
                                                     Radius (r)
                                                                            R2
r              r    dt                         Replicate 1 1.41E-06         1.00
          ⎛                                ⎞   Replicate 2 1.41E-06         1.00
      8η                ze
t =       ⎜ z e ln              − z (t )   ⎟   Replicate 3 1.56E-06         0.98
    r 2ρg ⎜
          ⎝        z e − z (t )            ⎟
                                           ⎠   Replicate 4 1.20E-06         1.00
                                               Replicate 5 1.10E-06         0.99
         2γ cos θ ΔP                            Average     1.34E-06
    ze =         +                              COV (%)       13.80
           ρgr     ρg

 Quasi state ma=0                               Average effective
 No external vacuum, ΔP = 0                     Capillary Radius
 Full wetting, cos(θ) = 1
 No swelling & release of heat of              r = 1.34 × 10           −6
                                                                            μm
 wetting
Effect of Polar Liquid
                                         r, average capillary
                                       radius (m)
                                         rs, average capillary
                                       radius after material
                                       swelling (m)
                                         R, inner radius of the
                                       column tube (m)
                                         ρm, material density
                                       (g/cm3 )
                                         δv, volume shrinkage
                                       after absorbing probe
                                       liquid

       π R 2 ρ m − (1 + δ v ) G m        Gm, unit column mass of
rs =                              ⋅r   the material (g/m)
            πρ m R − G m
                    2
                                       S.Q. Shi and D.J. Gardner, A new model to
                                       determine contact angles on swelling
                                       polymer particles by the column wicking
                                       method, Journal of Adhesion Science and
                                       Technology, 14 (2000) 301-314.
Characteristics of Packing tubes


        Name            Water   Methanol Ethylene glycol Glycerol
Volume Shrinkage (%)    15.0     13.8         17.4         20.0
    Inner d (mm)         3.77     3.84        3.78         3.83
 G0 (tube weight) (g)    5.87     4.06        4.05         4.07
        G1 (g)          6.56      4.63        4.58         4.64
  G2 (g) wet weight      7.35     5.03        5.29         5.14
 Packing Length, mm     161.4    126.9       127.5        129.3
 wetting Length,mm       91.4     69.0        72.7         40.0
   density (g/cm3)       0.38     0.39        0.37         0.38
       Gm (g/m)         4.27      4.53        4.19         4.38
   wet (g/g wood)        2.01     1.25        2.34         2.85
      Wet(g/cm)          0.09     0.06        0.10         0.12
        r/rs             0.75     0.80        0.78         0.71
Derivation of Energy Loss Constant
   Quasi-state ma = 0; External vacuum ΔP = 0
                                                                    C (J/m)   R2
   Deformable materials, r into rs
                                                           Rep. 1   5.59E-07 1.00
   Energy loss is proportional to shrinkage and reverse
                                                           Rep. 2   4.88E-07 1.00
   proportional to r2 by C
                                                           Rep. 3   5.57E-07 0.99
   Fitting with methanol imbibition data, i.e. cos(θ) =0
                                                           Rep. 4   5.62E-07 0.98

  2rs               Cδ    8   dz                           Rep.5    4.45E-07 0.98
      γ cos θ + ΔP − 2v − 2 ηz − ρgz = 0                   Average 5.52E-07
  r2                πr   rs   dt
                                                            Cov      9.6%
      8η  ⎛             ze               ⎞
t = 2     ⎜ z e ln
          ⎜                     − z (t ) ⎟
                                         ⎟
   rs ρ g ⎝        z e − z (t )          ⎠
                                                       Average energy loss
               2rsγ cos θ ΔP   cδ                           constant
        ze =             +   − 2v
                  ρgr 2    ρg πr ρg
                                                                        −7
                                                C = 5.52 × 10                 J /m
Contact Angle with Water
2rs               Cδ v 8   dz                                       r = 1 . 34 × 10 − 6 μ m
    γ cos θ + ΔP − 2 − 2 ηz − ρgz = 0
r 2
                  πr   rs  dt
                                                                     C = 5 . 52 × 10 − 7 J / m
        8η⎛             ze               ⎞
t = 2     ⎜ z e ln              − z (t ) ⎟                                rs / r = 0 . 75
          ⎜
   rs ρ g ⎝        z e − z (t )          ⎟
                                         ⎠                                         θ (°)       R2
                  2rsγ cos θ ΔP   cδ
           ze =             +   − 2v                      Rep. 1                    63        0.99
                     ρgr 2    ρg πr ρg
                                                          Rep. 2                    57        0.99
    Quasi-state ma = 0; External vacuum ΔP = 0            Rep. 3                    65        0.97
    Deformable materials, r into rs                       Rep. 4                    48        0.93
    Energy loss is proportional to shrinkage and reverse Rep. 5                     53        0.84
    proportional to r2 by C                               Rep. 6                    64        0.94
    Fitting with water imbibition data to calculate      Average                    58
    cos(θ)                                              COV (%)                    12.6
The water contact angles calculated from the model (58°) is in agreement with the sessile drop
                                        T. Nguyen and W. E. Johns, Wood Sci. Technol. 12, 63–74 (1978).
results (60°) from the literature       V. R. Gray, For. Prod. J. 452–461 (Sept. 1962).
Effect of Vacuum




Under vacuum, the rise of the liquid proceeds much
faster than predicted even with con(θ) = 1, clearly
     indicating a slip radius δ in the interface
Slip under Vacuum
r          Force without Slip
                                                    2γ cosθ
              capillary force:   FSurfaceTesnsion =
                                                       R
                    Gravity:           FGravity = mg

                                                           dz (t )
    Z(t)
                                                   ηz (t )
                                                8
               viscous drag:       Fviscous =
                                                R2          dt




    ESF-Exploratory Workshop Microfluidic: Rome, Sept. 28-30, 2007
Effect of Slip under Vacuum




                                                           dz (t )
                                                   ηz (t )
                                           8
                    Fviscous          =
                                        (R + δ ) 2
                                                            dt

D.I. Dimitrov, A. Milchev, and K. Binder, Capillary rise in nanopores: Molecular dynamics evidence for the Lucas-
Washburn equation, Physical Review Letters, 99 (2007).
Full Models
                      Vacuum            Viscous Drag
    Swelling

     2 rs                 Cδ v        8          dz
          γ cos θ + Δ P −      −              ηz    − ρ gz = 0
     r 2
                          πr 2
                                 ( rs + δ ) 2
                                                 dt
         Surface             Energy         Slip              gravity
         Tension              Loss         Radius


          8η       ⎛             ze               ⎞
t =                ⎜ z e ln
                   ⎜                     − z (t ) ⎟
                                                  ⎟    r = 1.34 × 10 −6 μm
    ( rs + δ ) ρ g ⎝
              2
                            z e − z (t )          ⎠
                                                      C = 5.52×10−7 J / m
      2rsγ cos θ ΔP   cδ v
 ze =           +   − 2                                rs / r = 0 . 75
         ρgr 2
                  ρg πr ρg
Slip Radius under Vacuum
                          1.8E-05
                          1.6E-05
                                         y = 5E-10x + 2E-06
                          1.4E-05             R² = 0.898
                          1.2E-05
        Slip Radius (m)




                          1.0E-05
                          8.0E-06
                          6.0E-06                                     Hexane
                                                                      Methanol
                          4.0E-06                                     Water
                          2.0E-06                                     Ethylene Glycol
                                                                      Glycerol
                          0.0E+00
                                    0   5,000   10,000     15,000 20,000   25,000   30,000
                                                         Vacuum (Pa)

  Assuming forced wetting under vacuum, cos(θ)=1
  Slip radius is roughly proportional to vacuum
  Contact angle and slip radius cannot be decoupled except for figuring out slip
radius with alternative methods
Conclusions
Rising rates of imbibitions can be measured precisely
with an image acquisition and analysis system
The effect of swelling and heat of wetting can be
calibrated by hexane and methanol
Contact angles for other polar and partial wetting liquids
can thus be measured reasonably
Vacuum induced slip; the slip and partial wetting were
coupling together such that contact angle could not be
measured separately in this investigation. Further
investigation is needed to correlate the extent of slip and
vacuum.
Thank you for your attentions



Questions or Comments

           ?

Weitere ähnliche Inhalte

Was ist angesagt?

Fluctuations and rare events in stochastic aggregation
Fluctuations and rare events in stochastic aggregationFluctuations and rare events in stochastic aggregation
Fluctuations and rare events in stochastic aggregationColm Connaughton
 
Nonequilibrium Statistical Mechanics of Cluster-cluster Aggregation Warwick ...
Nonequilibrium Statistical Mechanics of Cluster-cluster Aggregation Warwick  ...Nonequilibrium Statistical Mechanics of Cluster-cluster Aggregation Warwick  ...
Nonequilibrium Statistical Mechanics of Cluster-cluster Aggregation Warwick ...Colm Connaughton
 
The inverse droplet coagulation problem
The inverse droplet coagulation problemThe inverse droplet coagulation problem
The inverse droplet coagulation problemColm Connaughton
 
Cluster aggregation with complete collisional fragmentation
Cluster aggregation with complete collisional fragmentationCluster aggregation with complete collisional fragmentation
Cluster aggregation with complete collisional fragmentationColm Connaughton
 
Diffusometry in polyelectrolyte membranes IPFDD2003
Diffusometry in polyelectrolyte membranes IPFDD2003Diffusometry in polyelectrolyte membranes IPFDD2003
Diffusometry in polyelectrolyte membranes IPFDD2003Alexander Sagidullin
 
Oscillatory kinetics in cluster-cluster aggregation
Oscillatory kinetics in cluster-cluster aggregationOscillatory kinetics in cluster-cluster aggregation
Oscillatory kinetics in cluster-cluster aggregationColm Connaughton
 
Weak Isotropic three-wave turbulence, Fondation des Treilles, July 16 2010
Weak Isotropic three-wave turbulence, Fondation des Treilles, July 16 2010Weak Isotropic three-wave turbulence, Fondation des Treilles, July 16 2010
Weak Isotropic three-wave turbulence, Fondation des Treilles, July 16 2010Colm Connaughton
 
The Benefits of UPLC Technology in the Analytical Laboratory
The Benefits of UPLC Technology in the Analytical LaboratoryThe Benefits of UPLC Technology in the Analytical Laboratory
The Benefits of UPLC Technology in the Analytical LaboratoryJNAlexanderIV
 
Cluster-cluster aggregation with (complete) collisional fragmentation
Cluster-cluster aggregation with (complete) collisional fragmentationCluster-cluster aggregation with (complete) collisional fragmentation
Cluster-cluster aggregation with (complete) collisional fragmentationColm Connaughton
 
What happens when the Kolmogorov-Zakharov spectrum is nonlocal?
What happens when the Kolmogorov-Zakharov spectrum is nonlocal?What happens when the Kolmogorov-Zakharov spectrum is nonlocal?
What happens when the Kolmogorov-Zakharov spectrum is nonlocal?Colm Connaughton
 
Seismically Induced Landsliding in Seattle - Kate Allstadt
Seismically Induced Landsliding in Seattle - Kate AllstadtSeismically Induced Landsliding in Seattle - Kate Allstadt
Seismically Induced Landsliding in Seattle - Kate AllstadtEERI
 

Was ist angesagt? (12)

Fluctuations and rare events in stochastic aggregation
Fluctuations and rare events in stochastic aggregationFluctuations and rare events in stochastic aggregation
Fluctuations and rare events in stochastic aggregation
 
Nonequilibrium Statistical Mechanics of Cluster-cluster Aggregation Warwick ...
Nonequilibrium Statistical Mechanics of Cluster-cluster Aggregation Warwick  ...Nonequilibrium Statistical Mechanics of Cluster-cluster Aggregation Warwick  ...
Nonequilibrium Statistical Mechanics of Cluster-cluster Aggregation Warwick ...
 
The inverse droplet coagulation problem
The inverse droplet coagulation problemThe inverse droplet coagulation problem
The inverse droplet coagulation problem
 
Cluster aggregation with complete collisional fragmentation
Cluster aggregation with complete collisional fragmentationCluster aggregation with complete collisional fragmentation
Cluster aggregation with complete collisional fragmentation
 
Diffusometry in polyelectrolyte membranes IPFDD2003
Diffusometry in polyelectrolyte membranes IPFDD2003Diffusometry in polyelectrolyte membranes IPFDD2003
Diffusometry in polyelectrolyte membranes IPFDD2003
 
Oscillatory kinetics in cluster-cluster aggregation
Oscillatory kinetics in cluster-cluster aggregationOscillatory kinetics in cluster-cluster aggregation
Oscillatory kinetics in cluster-cluster aggregation
 
Weak Isotropic three-wave turbulence, Fondation des Treilles, July 16 2010
Weak Isotropic three-wave turbulence, Fondation des Treilles, July 16 2010Weak Isotropic three-wave turbulence, Fondation des Treilles, July 16 2010
Weak Isotropic three-wave turbulence, Fondation des Treilles, July 16 2010
 
The Benefits of UPLC Technology in the Analytical Laboratory
The Benefits of UPLC Technology in the Analytical LaboratoryThe Benefits of UPLC Technology in the Analytical Laboratory
The Benefits of UPLC Technology in the Analytical Laboratory
 
Cluster-cluster aggregation with (complete) collisional fragmentation
Cluster-cluster aggregation with (complete) collisional fragmentationCluster-cluster aggregation with (complete) collisional fragmentation
Cluster-cluster aggregation with (complete) collisional fragmentation
 
What happens when the Kolmogorov-Zakharov spectrum is nonlocal?
What happens when the Kolmogorov-Zakharov spectrum is nonlocal?What happens when the Kolmogorov-Zakharov spectrum is nonlocal?
What happens when the Kolmogorov-Zakharov spectrum is nonlocal?
 
GTS-230N
GTS-230NGTS-230N
GTS-230N
 
Seismically Induced Landsliding in Seattle - Kate Allstadt
Seismically Induced Landsliding in Seattle - Kate AllstadtSeismically Induced Landsliding in Seattle - Kate Allstadt
Seismically Induced Landsliding in Seattle - Kate Allstadt
 

Ähnlich wie Session 4 ic2011 wang

"Squeezed States in Bose-Einstein Condensate"
"Squeezed States in Bose-Einstein Condensate""Squeezed States in Bose-Einstein Condensate"
"Squeezed States in Bose-Einstein Condensate"Chad Orzel
 
H. Partouche - Thermal Duality and non-Singular Superstring Cosmology
H. Partouche - Thermal Duality and non-Singular Superstring CosmologyH. Partouche - Thermal Duality and non-Singular Superstring Cosmology
H. Partouche - Thermal Duality and non-Singular Superstring CosmologySEENET-MTP
 
Heat-and-Mass Transfer Relationship to Determine Shear Stress in Tubular Memb...
Heat-and-Mass Transfer Relationship to Determine Shear Stress in Tubular Memb...Heat-and-Mass Transfer Relationship to Determine Shear Stress in Tubular Memb...
Heat-and-Mass Transfer Relationship to Determine Shear Stress in Tubular Memb...Nicolas Ratkovich
 
Further discriminatory signature of inflation
Further discriminatory signature of inflationFurther discriminatory signature of inflation
Further discriminatory signature of inflationLaila A
 
Phase Equilibrium Of Structure Ii Clathrates
Phase Equilibrium Of Structure Ii ClathratesPhase Equilibrium Of Structure Ii Clathrates
Phase Equilibrium Of Structure Ii Clathratesshaunakpotdar
 
Physics 498 SQD -- Lecture 2 -- Defining properties FINAL dvh.pptx
Physics 498 SQD -- Lecture 2 -- Defining properties FINAL dvh.pptxPhysics 498 SQD -- Lecture 2 -- Defining properties FINAL dvh.pptx
Physics 498 SQD -- Lecture 2 -- Defining properties FINAL dvh.pptxAzzahDyahPramata2
 
R Vazquez Showers Signatures
R Vazquez  Showers SignaturesR Vazquez  Showers Signatures
R Vazquez Showers SignaturesMiguel Morales
 
Linear response theory and TDDFT
Linear response theory and TDDFT Linear response theory and TDDFT
Linear response theory and TDDFT Claudio Attaccalite
 
Achieving the Neel state in an optical lattice
Achieving the Neel state in an optical latticeAchieving the Neel state in an optical lattice
Achieving the Neel state in an optical latticeUtrecht University
 
Fluid dynamics 1
Fluid dynamics 1Fluid dynamics 1
Fluid dynamics 1guest7b51c7
 

Ähnlich wie Session 4 ic2011 wang (20)

Gravity tests with neutrons
Gravity tests with neutronsGravity tests with neutrons
Gravity tests with neutrons
 
"Squeezed States in Bose-Einstein Condensate"
"Squeezed States in Bose-Einstein Condensate""Squeezed States in Bose-Einstein Condensate"
"Squeezed States in Bose-Einstein Condensate"
 
Hydrogen atom
Hydrogen atomHydrogen atom
Hydrogen atom
 
Fd2610821087
Fd2610821087Fd2610821087
Fd2610821087
 
H. Partouche - Thermal Duality and non-Singular Superstring Cosmology
H. Partouche - Thermal Duality and non-Singular Superstring CosmologyH. Partouche - Thermal Duality and non-Singular Superstring Cosmology
H. Partouche - Thermal Duality and non-Singular Superstring Cosmology
 
Heat-and-Mass Transfer Relationship to Determine Shear Stress in Tubular Memb...
Heat-and-Mass Transfer Relationship to Determine Shear Stress in Tubular Memb...Heat-and-Mass Transfer Relationship to Determine Shear Stress in Tubular Memb...
Heat-and-Mass Transfer Relationship to Determine Shear Stress in Tubular Memb...
 
Further discriminatory signature of inflation
Further discriminatory signature of inflationFurther discriminatory signature of inflation
Further discriminatory signature of inflation
 
Phase Equilibrium Of Structure Ii Clathrates
Phase Equilibrium Of Structure Ii ClathratesPhase Equilibrium Of Structure Ii Clathrates
Phase Equilibrium Of Structure Ii Clathrates
 
Physics 498 SQD -- Lecture 2 -- Defining properties FINAL dvh.pptx
Physics 498 SQD -- Lecture 2 -- Defining properties FINAL dvh.pptxPhysics 498 SQD -- Lecture 2 -- Defining properties FINAL dvh.pptx
Physics 498 SQD -- Lecture 2 -- Defining properties FINAL dvh.pptx
 
662 magnetrons
662 magnetrons662 magnetrons
662 magnetrons
 
R Vazquez Showers Signatures
R Vazquez  Showers SignaturesR Vazquez  Showers Signatures
R Vazquez Showers Signatures
 
Starobinsky astana 2017
Starobinsky astana 2017Starobinsky astana 2017
Starobinsky astana 2017
 
CFD
CFDCFD
CFD
 
01_AJMS_195_19_RA.pdf
01_AJMS_195_19_RA.pdf01_AJMS_195_19_RA.pdf
01_AJMS_195_19_RA.pdf
 
01_AJMS_195_19_RA.pdf
01_AJMS_195_19_RA.pdf01_AJMS_195_19_RA.pdf
01_AJMS_195_19_RA.pdf
 
Linear response theory and TDDFT
Linear response theory and TDDFT Linear response theory and TDDFT
Linear response theory and TDDFT
 
Introduction to chaos
Introduction to chaosIntroduction to chaos
Introduction to chaos
 
Achieving the Neel state in an optical lattice
Achieving the Neel state in an optical latticeAchieving the Neel state in an optical lattice
Achieving the Neel state in an optical lattice
 
Theory of machines.pdf
Theory of machines.pdfTheory of machines.pdf
Theory of machines.pdf
 
Fluid dynamics 1
Fluid dynamics 1Fluid dynamics 1
Fluid dynamics 1
 

Mehr von Forest Products Society (20)

Sdrhcon2011 program booklet
Sdrhcon2011 program bookletSdrhcon2011 program booklet
Sdrhcon2011 program booklet
 
Sdrhcon2011 griffen
Sdrhcon2011 griffenSdrhcon2011 griffen
Sdrhcon2011 griffen
 
Sdrhcon2011 rodrigue
Sdrhcon2011 rodrigueSdrhcon2011 rodrigue
Sdrhcon2011 rodrigue
 
Sdrhcon2011 robinson
Sdrhcon2011 robinsonSdrhcon2011 robinson
Sdrhcon2011 robinson
 
Sdrhcon2011 reinhold
Sdrhcon2011 reinholdSdrhcon2011 reinhold
Sdrhcon2011 reinhold
 
Sdrhcon2011 plouffe
Sdrhcon2011 plouffeSdrhcon2011 plouffe
Sdrhcon2011 plouffe
 
Sdrhcon2011 munoz
Sdrhcon2011 munozSdrhcon2011 munoz
Sdrhcon2011 munoz
 
Sdrhcon2011 morris
Sdrhcon2011 morrisSdrhcon2011 morris
Sdrhcon2011 morris
 
Sdrhcon2011 lawton
Sdrhcon2011 lawtonSdrhcon2011 lawton
Sdrhcon2011 lawton
 
Sdrhcon2011 green
Sdrhcon2011 greenSdrhcon2011 green
Sdrhcon2011 green
 
Sdrhcon2011 donahue
Sdrhcon2011 donahueSdrhcon2011 donahue
Sdrhcon2011 donahue
 
Sdrhcon2011 dangerfield
Sdrhcon2011 dangerfieldSdrhcon2011 dangerfield
Sdrhcon2011 dangerfield
 
Sdrhcon2011 armstrong
Sdrhcon2011 armstrongSdrhcon2011 armstrong
Sdrhcon2011 armstrong
 
Sdrhcon2011 argenal
Sdrhcon2011 argenalSdrhcon2011 argenal
Sdrhcon2011 argenal
 
Sdrhcon2011 yawata
Sdrhcon2011 yawataSdrhcon2011 yawata
Sdrhcon2011 yawata
 
Sdrhcon2011 shima
Sdrhcon2011 shimaSdrhcon2011 shima
Sdrhcon2011 shima
 
Session 7 ic2011 yochim
Session 7 ic2011 yochimSession 7 ic2011 yochim
Session 7 ic2011 yochim
 
Session 8 ic2011 dadzie
Session 8 ic2011 dadzieSession 8 ic2011 dadzie
Session 8 ic2011 dadzie
 
Session 20 ic2011 hammett
Session 20 ic2011 hammettSession 20 ic2011 hammett
Session 20 ic2011 hammett
 
Session 24 ic2011 darby
Session 24 ic2011 darbySession 24 ic2011 darby
Session 24 ic2011 darby
 

Kürzlich hochgeladen

TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 

Kürzlich hochgeladen (20)

TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 

Session 4 ic2011 wang

  • 1. Forced Fluid Imbibition in a Powder-Packed Column Jinwu Wang, Post Doctoral Associate Sheldon Q. Shi, Assistant Professor Department of Forest Products Mississippi State University
  • 2. Objectives Develop a tool to measure contact angles and surface energies for both – Spontaneous and – non-spontaneous imbibing liquids in powders Current Problem – Spontaneous inbibition is not achieved in many cases when the wetting angle is larger than 900
  • 3. Explanation When a rigid container is inserted into a fluid, the fluid will rise in the container to a height higher than the surrounding liquid Capillary Tube Wedge Sponge Professor John Pelesko and Anson Carter, Department of Mathematics, University of Delaware
  • 4. Velocity Field around the Moving Meniscus Phys. Rev. Lett. (2007), Capillary Rise in Nanopores: Molecular Dynamics Evidence for the Lucas-Washburn Equation
  • 5. Liquid Behaviors in Powders A powder-packed column with radius R air Assume that a powder-packed Liquid column consists of numerous capillary tubes: a wicking-equivalent effective capillary radius The same governing equations as those applied to a capillary tube Capillary action
  • 6. Free Body Diagram r Surface Tension External vacuum }Driving Forces Poiseuille Viscous Force Gravitation Force Inertial Force Z(t) Dragging Forces List of Variables: volume = πr2z g = gravity r = radius of capillary tube z = rising height, measured to the bottom of the meniscus, at time t ≥ 0 ρ = density of the surface of the liquid γ = surface tension θ = contact angle between the surface of the liquid and the wall of the tube
  • 7. Explanation of the Forces Surface Tension Force 2π r γ cos( θ ) Gravitational Force Fw = mg = ρπr 2 zg Poiseuille Viscous Force Fdrag = 8πη z dz dt Vacuum Force πr2ΔP Newton's Second Law of Motion d (mv) d ⎛ 2 dz ⎞ ⎛ d 2 z ⎛ dz ⎞2 ⎞ ∑ F= dt dt ⎝ dt ⎠ 2 ⎜ = ⎜πr zρ ⎟ = πr ρ z 2 + ⎜ ⎟ ⎟ ⎜ dt ⎝ dt ⎠ ⎟ ⎝ ⎠
  • 8. Explanation of Differential Equation Newton's Second Law of Motion: Net Force = Surface Tension Force +Vacuum - Poiseuitte Viscous Force - Gravitational Force ⎛ d 2 z ⎛ dz ⎞ 2 ⎞ dz ρπr 2 ⎜ z 2 + ⎜ ⎟ ⎟ = 2πrγ cos(θ ) + πr 2 ΔP − 8πηz − ρgπr 2 z ⎜ dt ⎝ dt ⎠ ⎠ ⎟ dt ⎝ Dividing by πr2, the differential equation becomes: ⎛Zo = Z(0) =⎛0dz ⎞ 2 ⎞ 2 d 2z ρ ⎜z +⎜ ⎟ ⎟ = γ cos(θ ) + ΔP − 8 ηz dz − ρgz ⎜ dt ⎝ dt ⎠ ⎟ r 2 ⎝ ⎠ r 2 dt Boundary Conditions: z(0) = 0 and z’(z∞) = 0
  • 9. The Effective Zone of Forces The size of each zone depends on the probe Gravity Effective liquid properties and Zone capillary structures z Washburn Zone z0 Inertial Force 2 8 dz γ cosθ + ΔP − 2 ηz − ρgz = 0 r r dt 8η ⎛ ze ⎞ 2γ cos θ ΔP t = 2 ⎜ z e ln ⎜ − z (t ) ⎟ ⎟ ze = + r ρg ⎝ z e − z (t ) ⎠ ρgr ρg
  • 10. The Effect of Capillary Radius on Wicking Lucas- Washburn equation: 1/ 2 ⎛ γ r cos θ ⎞ z (t ) =⎜ ⎟ 2 ⎜ 2η ⎟ t ⎝ ⎠ Is valid when Capillary diameter is small At initial rising period Viscous drag >> gravity force Density is low, inertia is small
  • 11. Column Wicking Diagram Non-spontaneous inbibition when the contact angle is larger than 900 by applying vacuum spontaneous inbibition
  • 12. Experimental Setup Vacuum Vacuum Vacuum Sample Liquid Regulator Pump Gauge
  • 13. Rising Rate by Image Analysis 0s 2s 65 s 150 s 410 s 614 s 700 s Imbibing was recorded by camera video Scale was referenced with a caliper Advancing front line vs. time processed by ImageJ image analysis
  • 14. Observations 0.07 Hexane Replicate 1 0.06 Energy loss due to Hexane Replicate 2 Rising Height (m) 0.05 Contact angle, Methanol, Experimental partial wetting 0.04 (water) Water, Experimental 0.03 Polar liquid Hexane, theta = 0 swelling (methanol) 0.02 Methanol, theta = 0 Heat of wetting, 0.01 (water & methanol) Water, theta = 0 0 0 100 200 300 Time (s) γ η ρ Assuming full wetting, i.e. contact angle is mJ/m2 mPa.s g/cm3 zero. Rising rates: Water > Hexane > Methanol Hexane 18.4 0.326 0.65 Experimental: Hexane > Methanol > Water Water 72.8 1 1 Some energy is not used for rising in water and Methanol 22.5 0.54 0.79 methanol imbibitions
  • 15. Reproducibility & Vacuum: Hexane 0.07 Replicate 1 0.06 Replicate 2 0.05 Replicate 3 Replicate 4 0.04 Rising height (m) replicate 5 0.03 Vacuum 453 Pa 0.02 Vacuum 1050 Pa 0.01 Vacuum 4700 Pa Vacuum 5800 Pa 0 0 20 40 60 80 100 Time (s) Reproducibility is good for hexane imbibitions Rising rates increase with the vacuum
  • 16. Reproducibility & Vacuum: Water 0.14 Replicate 1 0.12 Replicate 2 Replicate 3 0.1 Replicate 4 Rising Height (m) 0.08 Replicate 5 Replicate 6 0.06 Vacuum 2237 Pa Vacuum 2362 Pa 0.04 Vacuum 2658 Pa 0.02 Vacuum 2856 Pa 0 0 100 200 300 400 500 600 Time (s) Reproducibility for water is not as good as hexane imbibitions Rising rates increase with the vacuum
  • 17. Experimental Data: EG & Glycerol 0.1 0.06 0.09 Vacuum 2,914 Pa 0.08 0.05 Vacuum 26,319 Pa Rising Height (m) 0.07 Vacuum 26,553 Pa Rising Height (m) 0.04 0.06 vacuum 23,496 Pa Vacuum 2353 Pa 0.05 0.03 Vacuum 22,668 Pa Vacuum 2106 Pa 0.04 Vacuum 2053 Pa 0.02 0.03 0.02 Vacuum 2160 Pa 0.01 Vacuum 2266 Pa 0.01 0 Vacuum 2160 Pa 0 0 100 200 300 400 0 500 1000 1500 Time (s) Time (s) γ η ρ mJ/m2 mPa.s g/cm3 Ethylene glycol imbibes very slowly Hexane 18.4 0.326 0.65 without external vacuum Ethylene glycol 48 16.1 1.113 Glycerol cannot imbibe spontaneously Glycerol 64 1420 1.261
  • 18. Results and Discussion Define the effective capillary radius with hexane The effect of polar liquids Energy loss constant Contact angle with water Vacuum induced slip
  • 19. Effective Capillary Radius from Hexane 2 8 dz γ cosθ + ΔP − 2 ηz − ρgz = 0 Effective Capillary Radius (r) R2 r r dt Replicate 1 1.41E-06 1.00 ⎛ ⎞ Replicate 2 1.41E-06 1.00 8η ze t = ⎜ z e ln − z (t ) ⎟ Replicate 3 1.56E-06 0.98 r 2ρg ⎜ ⎝ z e − z (t ) ⎟ ⎠ Replicate 4 1.20E-06 1.00 Replicate 5 1.10E-06 0.99 2γ cos θ ΔP Average 1.34E-06 ze = + COV (%) 13.80 ρgr ρg Quasi state ma=0 Average effective No external vacuum, ΔP = 0 Capillary Radius Full wetting, cos(θ) = 1 No swelling & release of heat of r = 1.34 × 10 −6 μm wetting
  • 20. Effect of Polar Liquid r, average capillary radius (m) rs, average capillary radius after material swelling (m) R, inner radius of the column tube (m) ρm, material density (g/cm3 ) δv, volume shrinkage after absorbing probe liquid π R 2 ρ m − (1 + δ v ) G m Gm, unit column mass of rs = ⋅r the material (g/m) πρ m R − G m 2 S.Q. Shi and D.J. Gardner, A new model to determine contact angles on swelling polymer particles by the column wicking method, Journal of Adhesion Science and Technology, 14 (2000) 301-314.
  • 21. Characteristics of Packing tubes Name Water Methanol Ethylene glycol Glycerol Volume Shrinkage (%) 15.0 13.8 17.4 20.0 Inner d (mm) 3.77 3.84 3.78 3.83 G0 (tube weight) (g) 5.87 4.06 4.05 4.07 G1 (g) 6.56 4.63 4.58 4.64 G2 (g) wet weight 7.35 5.03 5.29 5.14 Packing Length, mm 161.4 126.9 127.5 129.3 wetting Length,mm 91.4 69.0 72.7 40.0 density (g/cm3) 0.38 0.39 0.37 0.38 Gm (g/m) 4.27 4.53 4.19 4.38 wet (g/g wood) 2.01 1.25 2.34 2.85 Wet(g/cm) 0.09 0.06 0.10 0.12 r/rs 0.75 0.80 0.78 0.71
  • 22. Derivation of Energy Loss Constant Quasi-state ma = 0; External vacuum ΔP = 0 C (J/m) R2 Deformable materials, r into rs Rep. 1 5.59E-07 1.00 Energy loss is proportional to shrinkage and reverse Rep. 2 4.88E-07 1.00 proportional to r2 by C Rep. 3 5.57E-07 0.99 Fitting with methanol imbibition data, i.e. cos(θ) =0 Rep. 4 5.62E-07 0.98 2rs Cδ 8 dz Rep.5 4.45E-07 0.98 γ cos θ + ΔP − 2v − 2 ηz − ρgz = 0 Average 5.52E-07 r2 πr rs dt Cov 9.6% 8η ⎛ ze ⎞ t = 2 ⎜ z e ln ⎜ − z (t ) ⎟ ⎟ rs ρ g ⎝ z e − z (t ) ⎠ Average energy loss 2rsγ cos θ ΔP cδ constant ze = + − 2v ρgr 2 ρg πr ρg −7 C = 5.52 × 10 J /m
  • 23. Contact Angle with Water 2rs Cδ v 8 dz r = 1 . 34 × 10 − 6 μ m γ cos θ + ΔP − 2 − 2 ηz − ρgz = 0 r 2 πr rs dt C = 5 . 52 × 10 − 7 J / m 8η⎛ ze ⎞ t = 2 ⎜ z e ln − z (t ) ⎟ rs / r = 0 . 75 ⎜ rs ρ g ⎝ z e − z (t ) ⎟ ⎠ θ (°) R2 2rsγ cos θ ΔP cδ ze = + − 2v Rep. 1 63 0.99 ρgr 2 ρg πr ρg Rep. 2 57 0.99 Quasi-state ma = 0; External vacuum ΔP = 0 Rep. 3 65 0.97 Deformable materials, r into rs Rep. 4 48 0.93 Energy loss is proportional to shrinkage and reverse Rep. 5 53 0.84 proportional to r2 by C Rep. 6 64 0.94 Fitting with water imbibition data to calculate Average 58 cos(θ) COV (%) 12.6 The water contact angles calculated from the model (58°) is in agreement with the sessile drop T. Nguyen and W. E. Johns, Wood Sci. Technol. 12, 63–74 (1978). results (60°) from the literature V. R. Gray, For. Prod. J. 452–461 (Sept. 1962).
  • 24. Effect of Vacuum Under vacuum, the rise of the liquid proceeds much faster than predicted even with con(θ) = 1, clearly indicating a slip radius δ in the interface
  • 26. r Force without Slip 2γ cosθ capillary force: FSurfaceTesnsion = R Gravity: FGravity = mg dz (t ) Z(t) ηz (t ) 8 viscous drag: Fviscous = R2 dt ESF-Exploratory Workshop Microfluidic: Rome, Sept. 28-30, 2007
  • 27. Effect of Slip under Vacuum dz (t ) ηz (t ) 8 Fviscous = (R + δ ) 2 dt D.I. Dimitrov, A. Milchev, and K. Binder, Capillary rise in nanopores: Molecular dynamics evidence for the Lucas- Washburn equation, Physical Review Letters, 99 (2007).
  • 28. Full Models Vacuum Viscous Drag Swelling 2 rs Cδ v 8 dz γ cos θ + Δ P − − ηz − ρ gz = 0 r 2 πr 2 ( rs + δ ) 2 dt Surface Energy Slip gravity Tension Loss Radius 8η ⎛ ze ⎞ t = ⎜ z e ln ⎜ − z (t ) ⎟ ⎟ r = 1.34 × 10 −6 μm ( rs + δ ) ρ g ⎝ 2 z e − z (t ) ⎠ C = 5.52×10−7 J / m 2rsγ cos θ ΔP cδ v ze = + − 2 rs / r = 0 . 75 ρgr 2 ρg πr ρg
  • 29. Slip Radius under Vacuum 1.8E-05 1.6E-05 y = 5E-10x + 2E-06 1.4E-05 R² = 0.898 1.2E-05 Slip Radius (m) 1.0E-05 8.0E-06 6.0E-06 Hexane Methanol 4.0E-06 Water 2.0E-06 Ethylene Glycol Glycerol 0.0E+00 0 5,000 10,000 15,000 20,000 25,000 30,000 Vacuum (Pa) Assuming forced wetting under vacuum, cos(θ)=1 Slip radius is roughly proportional to vacuum Contact angle and slip radius cannot be decoupled except for figuring out slip radius with alternative methods
  • 30. Conclusions Rising rates of imbibitions can be measured precisely with an image acquisition and analysis system The effect of swelling and heat of wetting can be calibrated by hexane and methanol Contact angles for other polar and partial wetting liquids can thus be measured reasonably Vacuum induced slip; the slip and partial wetting were coupling together such that contact angle could not be measured separately in this investigation. Further investigation is needed to correlate the extent of slip and vacuum.
  • 31. Thank you for your attentions Questions or Comments ?