Using the Measurement of Colloidal Organics to Relate to Paper - - PowerPoint PPT Presentation

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Using the Measurement of Colloidal Organics to Relate to Paper - - PowerPoint PPT Presentation

Using the Measurement of Colloidal Organics to Relate to Paper Machine Runnability Danny Haynes Eka Chemicals an Akzo Nobel Company an Akzo Nobel Company Need for On-Line Stickies Monitoring: Advances in managing and controlling stickies


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SLIDE 1

Using the Measurement of Colloidal Organics to Relate to Paper Machine Runnability

Danny Haynes Eka Chemicals

an Akzo Nobel Company an Akzo Nobel Company

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SLIDE 2

Need for On-Line Stickies Monitoring:

“Advances in managing and controlling stickies await a good measurement tool similar to the one we have in deinking - measurement of ERIC. We need a fast and reliable instrument for the measurement of the concentration of stickies.” Mahendra Doshi – Editor of Progress in Paper Recycling

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SLIDE 3

Need for On-Line Stickies Monitoring:

“Advances in managing and controlling stickies await a good measurement tool similar to the one we have in deinking - measurement of ERIC. We need a fast and reliable instrument for the measurement of the concentration of stickies.” Mahendra Doshi – Editor of Progress in Paper Recycling

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SLIDE 4

Need for On-Line Stickies Monitoring:

“Develop reliable tests to measure stickies and to predict deposition on the paper machine. None are available at the moment.” Survey of Deposits and Contaminants in Mills Using Recycled Fibre - Maurice Douek, Bruce Sitholé and Sujit Banerjee

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SLIDE 5

Need for On-Line Stickies Monitoring:

“Develop reliable tests to measure stickies and to predict deposition on the paper machine. None are available at the moment.” Survey of Deposits and Contaminants in Mills Using Recycled Fibre - Maurice Douek, Bruce Sitholé and Sujit Banerjee

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SLIDE 6

Meeting An Industry Need

  • The recycle industry has a need to relate some type of stickies

measurement to runnability issues at the paper machine.

  • IPST at Georgia Tech has developed a method using the

measurement of TOC of fractionated samples to measure colloidal organics

  • Work with this technology has been on going since 2001 & an
  • n-line detector developed
  • Taking a 12 hour time on 7 different days under stable

conditions the on-line sensor gives a COV% of 3 - 10% for colloidal organics and 1.6 - 6.2% for individual TOC values

  • The purpose of this presentation is to evaluate the initial alpha

colloidal organic detector unit at a newsprint paper machine headbox

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SLIDE 7

Fractionation Measurement

TOC TOC

Difference Difference Colloidal Micro-stickies Colloidal Pitch Colloidal Organics

150 μm Micro-stickies 75 μm Behavior is Different 25 μm or 200 nm 4 nm/ 4000 MW

EMMA Potential EMMA Potential – – E Effective ffective M Measurement of easurement of M Micro icro-

  • organic
  • rganic

A Accumulation ccumulation

Ultra filtration Ultra filtration

No fiber or fines 70 to 90% < 200 nm 2 x More in TMP than DI P Tend to behave like macro-stickies 2.5 x More in TMP than DI P

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SLIDE 8

Defining Runnability

PM Runnability Issue % Based on Days with High Number of Breaks % Based

  • n Days

with High Downtime % Based on Downtime Minutes % Based on Industry Survey [1] Wet End/Press Breaks 46 36 37 58 Dryer Breaks 43 45 60 31 Calender Breaks 11 19 2 6 Scanner Build-up 6

TAPPI Outreach Program 1-800-291-3145 Survey of Deposits and Contaminants in Mills Using Recycled Survey of Deposits and Contaminants in Mills Using Recycled Fibre Fibre Maurice Douek, Bruce Sithol Maurice Douek, Bruce Sitholé é – – Paprican & Paprican & Sujit Banerjee Sujit Banerjee – – IPST IPST TAPPI 2003 Fall Technical Conference TAPPI 2003 Fall Technical Conference

Forming Fabrics – 71% Drying Section – 71% Pressing Section – 64% Calendering Rolls – 13% Scanner Gauges – 13%

1.5 to 2 times more issues with Dryers

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SLIDE 9

Tracking A Week of Colloidal Organics

EMMA - Effective Measurement of Micro-organic Accumulation

Sample Date

08/27 08/28 08/29 08/30 08/31 09/01 09/02 09/03 09/04

EMMA Potential (ppm-TOC)

40 50 60 70 80 90 100

Headbox +1 σ Average

  • 1 σ

Average

+1 σ

  • 1 σ

Looking at 7 days gives the best relationship between colloidal organics & runnability issues

Assume that colloidal particles have a stable nature and a normal population distribution such that standard deviation can be used to estimate a region or zone

  • f colloidal

stability.

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SLIDE 10

Defining Stable Colloidal Organics

EMMA - Effective Measurement of Micro-organic Accumulation

Sample Date

08/27 08/28 08/29 08/30 08/31 09/01 09/02 09/03 09/04

EMMA Potential (ppm-TOC)

40 50 60 70 80 90 100

Headbox +1 σ Average

  • 1 σ

Average

+1 σ

  • 1 σ

Stable Unstable Unstable High Colloidal Concentration = Runnability Issues Low Colloidal Concentration = Runnability Issues

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SLIDE 11

Unstable Colloidal Organic Events

EMMA - Effective Measurement of Micro-organic Accumulation

Sample Date

08/27 08/28 08/29 08/30 08/31 09/01 09/02 09/03 09/04

EMMA Potential (ppm-TOC)

40 50 60 70 80 90 100

Headbox +1 σ Average

  • 1 σ

1 2 3 4 5 6 7 1 2 3 4 5 6 7

Based on the Assumption

  • f Colloidal Stability --

there is a higher probability of runnability issues or events occurring when outside the region of colloidal stability For this week 14 events

  • ccurred

Stable

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SLIDE 12

Swings Driven by Furnish Mix Changes

EMMA - Effective Measurement of Micro-organic Accumulation

Sample Date

08/27 08/28 08/29 08/30 08/31 09/01 09/02 09/03 09/04

EMMA Potential (ppm-TOC)

40 50 60 70 80 90 100

Headbox +1 σ Average

  • 1 σ

Sun 27 Tue 29 Thu 31 Sat 02 Mon 04

Recycle Content (%)

55 60 65 70 75 80 85 90

Recycle Content

Swings in the amount

  • f DIP was a

significant driver in the amount of colloidal organics present at the headbox

More TMP More DIP More TMP More DIP

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SLIDE 13

EMMA - Effective Measurement of Micro-organic Accumulation

Sample Date

08/27 08/28 08/29 08/30 08/31 09/01 09/02 09/03 09/04

EMMA Potential (ppm-TOC)

40 50 60 70 80 90 100

Headbox +1 σ Average

  • 1 σ

Sun 27 Tue 29 Thu 31 Sat 02 Mon 04

Recycle Content (%)

55 60 65 70 75 80 85 90

Recycle Content

Downtime (minutes)

20 40 60 80 100 120

Dryer Breaks

Relating Dry End Break Events to EMMA Potential

1 2 3 4 5 6 7 1 2 3 4 5 6 7

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SLIDE 14

Organics Below 4,000 MW

Sample Date

08/27 08/28 08/29 08/30 08/31 09/01 09/02 09/03 09/04

Dissolved Organics (ppm-TOC)

80 90 100 110 120 130 140 150 160

Headbox +1 σ Average

  • 1 σ

Sun 27 Tue 29 Thu 31 Sat 02 Mon 04

Recycle Content (%)

55 60 65 70 75 80 85 90

Recycle Content

Downtime (minutes)

20 40 60 80 100 120

Dryer Breaks

Relating Dry End Break Events to 4 nm Dissolved Organics

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SLIDE 15

Relating All the Events

EMMA - Effective Measurement of Micro-organic Accumulation

Sample Date

08/27 08/28 08/29 08/30 08/31 09/01 09/02 09/03 09/04

EMMA Potential (ppm-TOC)

40 50 60 70 80 90 100

Headbox +1 σ Average

  • 1 σ

Sun 27 Tue 29 Thu 31 Sat 02 Mon 04

Recycle Content (%)

55 60 65 70 75 80 85 90

Recycle Content

1 Holes 2 Holes 3 WE Holes 4 Holes 5 WE DE 6 WE DE HOF 7 DE HOF DE WE: Wet End Break DE: Dry End Break Holes: Large Holes HOF: Culled Rolls 1 HOF 2 Holes 3 Holes DE 4 WE 5 Holes HOF 6 Holes 7 HOF

14 of the 14 Unstable Conditions had Runnability Issues with 1 or 2 events not expected for a 93 to 88% Relationship of EMMA Potential to Runnability

DE?

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SLIDE 16

Results of Attempting to Relate Runnability to TOC Method

86% Average 82% Amount of Downtime 92% Number of Events 85% Unstable EMMA Potential 88% Unstable Dissolved Organics Percentage of Success Runnability Relationship

Beta unit Uptime of 69% over 28 weeks (trying to break), Operational Uptime 80%, Commercial Unit at 88% based on a 24 hr/day