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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


  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

  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

  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

  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

  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

  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 on-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

  7. Fractionation Measurement 150 μ m Micro-stickies Tend to behave like macro-stickies 75 μ m Behavior is Different 25 μ m or Difference Difference 200 nm Colloidal No fiber or fines Micro-stickies 2.5 x More in TOC Colloidal Pitch 70 to 90% < 200 nm TMP than DI P Colloidal Ultra filtration Ultra filtration Organics 4 nm/ 4000 MW EMMA Potential – – EMMA Potential E ffective E ffective TOC M easurement of M easurement of 2 x More in TMP M icro icro- -organic organic M A ccumulation ccumulation A than DI P

  8. Scanner Forming Calendering Gauges – 13% Fabrics – 71% Rolls – 13% Runnability Defining Pressing Section – 64% Drying Section – 71% Survey of Deposits and Contaminants in Mills Using Recycled Survey of Deposits and Contaminants in Mills Using Recycled Fibre Fibre TAPPI Outreach 1.5 to 2 times Maurice Douek, Bruce Sitholé Maurice Douek, Bruce Sithol é – – Paprican & Paprican & Sujit Banerjee Sujit Banerjee – – IPST IPST Program TAPPI 2003 Fall Technical Conference TAPPI 2003 Fall Technical Conference 1-800-291-3145 more issues with Dryers % Based on Days % Based with High on Days % Based on % Based on Number of with High Downtime Industry PM Runnability Issue Breaks Downtime Minutes 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

  9. Tracking A Week of Colloidal Organics EMMA - Effective Measurement of Micro-organic Accumulation Assume 100 that colloidal Headbox +1 σ particles have a EMMA Potential (ppm-TOC) 90 Average stable nature -1 σ and a normal 80 population +1 σ distribution such 70 that standard deviation can be used to estimate Average 60 a region or zone of colloidal 50 -1 σ stability. 40 08/27 08/28 08/29 08/30 08/31 09/01 09/02 09/03 09/04 Sample Date Looking at 7 days gives the best relationship between colloidal organics & runnability issues

  10. Defining Stable Colloidal Organics EMMA - Effective Measurement of Micro-organic Accumulation 100 Headbox +1 σ EMMA Potential (ppm-TOC) High Colloidal 90 Average Unstable -1 σ Concentration = Runnability Issues 80 +1 σ 70 Stable Average 60 Low Colloidal 50 -1 σ Concentration = Unstable Runnability Issues 40 08/27 08/28 08/29 08/30 08/31 09/01 09/02 09/03 09/04 Sample Date

  11. Unstable Colloidal Organic Events EMMA - Effective Measurement of Micro-organic Accumulation 100 Based on the Assumption Headbox 3 +1 σ EMMA Potential (ppm-TOC) of Colloidal Stability -- 90 2 Average 5 -1 σ there is a higher 4 80 1 probability of runnability 6 7 issues or events occurring 70 when outside the region of Stable colloidal stability 60 For this week 14 events occurred 50 1 3 4 5 6 7 2 40 08/27 08/28 08/29 08/30 08/31 09/01 09/02 09/03 09/04 Sample Date

  12. Swings Driven by Furnish Mix Changes EMMA - Effective Measurement of Micro-organic Accumulation Sun 27 Tue 29 Thu 31 Sat 02 Mon 04 100 90 Headbox +1 σ More DIP Average EMMA Potential (ppm-TOC) 85 -1 σ 90 More DIP Recycle Content (%) 80 Recycle 80 Content 75 70 Swings in the amount 70 of DIP was a 60 significant driver in 65 the amount of 50 colloidal organics 60 present at the More TMP More TMP 40 55 headbox 08/27 08/28 08/29 08/30 08/31 09/01 09/02 09/03 09/04 Sample Date

  13. Relating Dry End Break Events to EMMA Potential EMMA - Effective Measurement of Micro-organic Accumulation Sun 27 Tue 29 Thu 31 Sat 02 Mon 04 100 90 120 Headbox 3 +1 σ EMMA Potential (ppm-TOC) Average 85 100 2 90 5 -1 σ Recycle Content (%) Downtime (minutes) 80 80 4 Recycle 80 1 Content 6 7 75 60 70 Dryer Breaks 70 40 60 65 20 50 60 0 1 3 4 5 6 7 2 40 55 08/27 08/28 08/29 08/30 08/31 09/01 09/02 09/03 09/04 Sample Date

  14. Relating Dry End Break Events to 4 nm Dissolved Organics Organics Below 4,000 MW Sun 27 Tue 29 Thu 31 Sat 02 Mon 04 160 90 120 Headbox Dissolved Organics (ppm-TOC) +1 σ 150 85 Average 100 -1 σ Recycle Content (%) Downtime (minutes) 140 80 80 Recycle Content 130 75 60 120 Dryer Breaks 70 40 110 65 20 100 60 0 90 80 55 08/27 08/28 08/29 08/30 08/31 09/01 09/02 09/03 09/04 Sample Date

  15. Relating All the Events EMMA - Effective Measurement of Micro-organic Accumulation Sun 27 Tue 29 Thu 31 Sat 02 Mon 04 100 90 Headbox +1 σ 3 Holes 5 Holes Average EMMA Potential (ppm-TOC) 2 Holes DE 85 -1 σ 90 HOF Recycle Content (%) 4 WE 80 Recycle 7 HOF 80 1 HOF Content 6 Holes 75 70 WE: Wet End Break DE DE: Dry End Break 70 Holes: Large Holes 60 HOF: Culled Rolls 65 4 Holes 50 DE? 7 DE 60 HOF 3 WE 1 Holes 6 WE 5 WE 2 Holes Holes 40 55 DE DE 08/27 08/28 08/29 08/30 08/31 09/01 09/02 09/03 09/04 HOF Sample Date 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

  16. Results of Attempting to Relate Runnability to TOC Method Runnability Relationship Percentage of Success Unstable Dissolved Organics 88% Unstable EMMA Potential 85% Number of Events 92% Amount of Downtime 82% Average 86% Beta unit Uptime of 69% over 28 weeks (trying to break), Operational Uptime 80%, Commercial Unit at 88% based on a 24 hr/day

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