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CHARGING CHARACTERIZATION OF
 COLLOIDAL DISPERSIONS BY A
       PLATE-OUT CELL
               IS&T NIP15
           October 17-22, 1999



  James Wang, Fa-Gung Fan, Richard Blum
           Xerox Corporation
Liquid Toner Chemical Model: The Anatomy of an
                      Ink

              -
                      -
      -
      +                   +   -
                  +
          -                                    Inverse
                  +       +
                                               Micelle




                                       11/ 96, file: LTM_NHT.PPT
Liquid Inks Contain:
1) Charged toner particles: Field dependent
2) Co-Ions: charged micelle with same polarity
              of toner
3) Counter-Ions: charged micelle with opposite
                   polarity of toner
4) Carrier Liquid
Big Picture
      Work Process to Study LID Development

 Ink Design                            Model verification
& Fabrication                          Ink characterization
                    Benchtop
                      Ink
                 Characterization      Characterization
                                              Model
                • Mobility (ELS/LDV)
                • Charging (SC/PO)                  Fixture
                • Size Measurement                  Models
                • etc.(ESA, light scattering,
                light transmission                       Fixture
Plate-Out Cell Setup
Ink Characteristic
                              Ink Characterization
Current density(amp/m2 )

                                        Ink Charge Properties
                                              •Number of charge species
                                              •Mobility of each species
                                              •Charge density of each species
                                              •Q/M of toner




                                 Time (sec)
Ink Characterization Model


∂ρ i
      + ∇ • ( ρ i u ) = 0 Conservation of Charge
 ∂t                       (Charge transport equation)

ε ∇ φ = − ∑ ρ i Gauss’ Law
    2

               i          (Poisson equation for potential)

u = µE             Fluid velocity + Electrophoretic velocity
Automatic Curve Fitting
--- An Optimization Problem
Minimize                                                                          2
                            N
  f ( ρ 10 , ... ρ n ) =
                   0
                           ∑ [e
                           k =1
                                  E
                                  k   − e kM ( µ 1 , ... µ   n, ρ 10 , ... ρ n0 ) ]
Subject to
   ρ i0 ≥ 0

Restate in the form of an unconstrained optimization problem with
a penalty function

  ˆ 0
  f ( ρ1 , ... ρ n ) = f ( ρ1 , ... ρ n ) + R ∑ | ρ 0 |
                 0          0         0
                                                    j
                                            j∈ J
  R is the penalty parameter
                                                       0
 J identifies the set of violated constraints (i.e., ρ j < 0 for all j ∈ J )
Optimization Algorithm




                         x




                             Powell’s Conjugate Direction Method
 0                   x       •Needs only function value, not gradient.
ρ2   initial guess
           x                 •For quadratic object function,
                             predetermined steps to reach optimal.


            ρ10
Conductivity =
∑(Charge Density*Mobility)
SUMMARY:

 • A charge characterization process based on the
   charge transport model is developed.
 • The process determines charge density and
   mobility distribution of simple dispersions.
 • For liquid inks, the apparent charge densities of
   the toner particles do not stay constant.
 • To better characterize liquid inks, a quantitative
   understanding and modeling of charge generation
   is needed.

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Charging Characterization of Colloidal Dispersions by a Plate-Out Cell

  • 1. CHARGING CHARACTERIZATION OF COLLOIDAL DISPERSIONS BY A PLATE-OUT CELL IS&T NIP15 October 17-22, 1999 James Wang, Fa-Gung Fan, Richard Blum Xerox Corporation
  • 2. Liquid Toner Chemical Model: The Anatomy of an Ink - - - + + - + - Inverse + + Micelle 11/ 96, file: LTM_NHT.PPT
  • 3. Liquid Inks Contain: 1) Charged toner particles: Field dependent 2) Co-Ions: charged micelle with same polarity of toner 3) Counter-Ions: charged micelle with opposite polarity of toner 4) Carrier Liquid
  • 4. Big Picture Work Process to Study LID Development Ink Design Model verification & Fabrication Ink characterization Benchtop Ink Characterization Characterization Model • Mobility (ELS/LDV) • Charging (SC/PO) Fixture • Size Measurement Models • etc.(ESA, light scattering, light transmission Fixture
  • 6. Ink Characteristic Ink Characterization Current density(amp/m2 ) Ink Charge Properties •Number of charge species •Mobility of each species •Charge density of each species •Q/M of toner Time (sec)
  • 7. Ink Characterization Model ∂ρ i + ∇ • ( ρ i u ) = 0 Conservation of Charge ∂t (Charge transport equation) ε ∇ φ = − ∑ ρ i Gauss’ Law 2 i (Poisson equation for potential) u = µE Fluid velocity + Electrophoretic velocity
  • 8. Automatic Curve Fitting --- An Optimization Problem Minimize 2 N f ( ρ 10 , ... ρ n ) = 0 ∑ [e k =1 E k − e kM ( µ 1 , ... µ n, ρ 10 , ... ρ n0 ) ] Subject to ρ i0 ≥ 0 Restate in the form of an unconstrained optimization problem with a penalty function ˆ 0 f ( ρ1 , ... ρ n ) = f ( ρ1 , ... ρ n ) + R ∑ | ρ 0 | 0 0 0 j j∈ J R is the penalty parameter 0 J identifies the set of violated constraints (i.e., ρ j < 0 for all j ∈ J )
  • 9. Optimization Algorithm x Powell’s Conjugate Direction Method 0 x •Needs only function value, not gradient. ρ2 initial guess x •For quadratic object function, predetermined steps to reach optimal. ρ10
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  • 17. SUMMARY: • A charge characterization process based on the charge transport model is developed. • The process determines charge density and mobility distribution of simple dispersions. • For liquid inks, the apparent charge densities of the toner particles do not stay constant. • To better characterize liquid inks, a quantitative understanding and modeling of charge generation is needed.