A New Approach to Measuring ERIC in Deinked Papers David Vahey, - - PowerPoint PPT Presentation
A New Approach to Measuring ERIC in Deinked Papers David Vahey, - - PowerPoint PPT Presentation
A New Approach to Measuring ERIC in Deinked Papers David Vahey, J.Y. Zhu and Carl Houtman USDA, Forest Products Laboratory Madison, WI Effective Residual Ink Conc. (ERIC) 950 nm Ink Assumption: At Absorbance 950 nm any absorbance is
Effective Residual Ink Conc. (ERIC)
200 400 600 800 1000 1200 Wavelength (nm) Absorbance
Paper (x100) Ink
950 nm
Assumption: At 950 nm any absorbance is due to ink
ERIC Uses Near Infrared (950 nm) to Emphasize Ink Absorbers
= Visible Light = Near Infrared (NIR) Ink Dye Lignin NIR Absorption depends mostly on ink concentration
ERIC Measurement
Ro R∞
Single sheet
- ver a black
cavity Stack of similar sheets
Reflectance at 950 nm using d/0º
Advantages of ERIC Measurement
- Rapid, commercially available
- Suitable precision for control actions
- An improvement over brightness
measurement
– More sensitive to ink – Less sensitive to dyes and lignin
Disadvantages of ERIC Measurement
- When Ro and R∞ are close, the errors increase
- Some samples exhibit such low reproducibility
that results become meaningless
- Sample must be repositioned to take the two
measurements
Goals of the Study
- Explore the sources of inconsistency in
ERIC measurements
- Determine the impact of using a different
wavelength and/or geometry (e.g. 750 nm with a UV/Vis spectrophotometer)
- Develop a preliminary error analysis
Light-Paper Interaction Theory
A* T = % Transmission R = % Reflection A = % Absorption I = 100%, Incident Illumination Conservation of Energy→ 100% = R + T + A
Approximate ERIC calculation
⎟ ⎟ ⎠ ⎞ ⎜ ⎜ ⎝ ⎛ − − × ≈ ) ( 1 100 (ppm) ERIC
2
m kg w T R
w = Basis Weight R = Reflectance fraction T = Transmittance fraction
Standard ERIC Measurement Approach
A* R0 Single Sheet R∞ Thick Stack T = 0 T>0
Kubelka-Munk Theory
I J
x In differential form: dI = -(K+S) I dx + S J dx dJ = -S I dx + (K+S) J dx Gain from scattering I Loss
- f
J
a bit of mathematics….
Standard ERIC calculations
( )
∞ ∞
− × = R R S ERIC 2 1 100
2
( )
⎥ ⎦ ⎤ ⎢ ⎣ ⎡ − − ⎥ ⎦ ⎤ ⎢ ⎣ ⎡ − =
∞ ∞ ∞ ∞
R R R R R w R S
2
1 1 ln 1
Problem: ERIC→∞ as Ro/R∞→1
w = basis weight, in kg/m2
ERIC Measurement Problem with Opaque Papers
A* R0 Single Sheet R0/R∞ ≈ 1-R0T2 Thick Stack T ≈ 0
*
~R0T2 ~R0T
R∞
High Opacity Paper
- With opacity > 97%, Ro and R∞ are very
close, thus the estimate of S is very poor.
- One possible solution is to use an estimated
value for Savg (near 50 m2/kg for TMP).
- Another is to base ERIC on R and T
measurements instead of Ro and R∞.
The R and T Method for ERIC
* T = Transmission R = Reflection I = 1, Incident Illumination ⎥ ⎦ ⎤ ⎢ ⎣ ⎡ − + − − + − ⋅ − − =
− 2 2 2 2 1 2 2 2 2 2 2
4 ) 1 ( 2 1 sinh 4 ) 1 ( ) 1 ( x 100 R R T T R R T w T R ERIC
Experimental Setup for ERIC by the R and T method
Lamp Chopper Aperture Paper Aperture Moveable Detector for Transmission (T) and Reflection (R) Lens T R Amplifier Oscilloscope
Experimental Samples
- TMP: 65 g/m2 handsheets from pulp samples with
varying degrees of residual ink.
- Kraft: 65 g/m2 handsheets from pulp samples with
residual ink from laser printing.
- Newsprint: 50 g/m2 page from a directory.
Summary of Results
ERIC, by method Opacity Sample 792 693 558 702 96.1 TMP 2 1238 1100 939 1106 98.7 TMP 3 602 504 417 519 94.6 TMP 1 158 149 189 83.2 Kraft 140 127 181 81.7 News Commercial SavgR∞ R0R∞ RT
ERIC Results by Three Different Methods
News Kraft Trial 1 Trial 2 Trial 3 280 560 840 1120 1400 20 40 60 80 100
- ERIC (ppm)
Opacity ERIC RT RoR sR sR :Technidyne
Sample
Opacity (%)
Typical ERIC values
- ERIC ≈ 1000 ppm, for newsprint at the start
- f deinking
- ERIC ≈ 200-300 ppm for commercial
recycled newsprint
ERIC Error Analysis
200 400 600 800 1000 1200 10 100
RT R0R sR S 50 40 Data
ERIC (ppm) ERIC COV (%)
- 6
20
- 40
70
Conclusions
- ERIC values greater than 800 ppm are prone to
errors with standard RoR∞ method.
- Use of an estimated scattering coefficient S make
comparisons between different papers difficult.
- ERIC measurement using R and T