Using the Measurement of Colloidal Organics to Relate to Paper Machine Runnability
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1 Using the Measurement of Colloidal Organics to Relate to Paper Machine Runnability Danny Haynes Eka Chemicals 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 % 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
7 150 μm 75 μm 25 μm or 200 nm 2.5 x More in TMP than DIP 4 nm/4000 MW Fractionation Measurement TOC TOC Micro-stickies Tend to behave like macro-stickies Behavior is Different No fiber or fines to % < 200 nm Ultra filtration 2 x More in TMP than DIP Difference Colloidal Micro-stickies Colloidal Pitch Colloidal Organics EMMA Potential Effective Measurement of Micro-organic organic Accumulation
8 Forming Fabrics 71% Calendering Rolls 13% Scanner Gauges 13% Defining Runnability Pressing Section 64% Drying Section 71% TAPPI Outreach Program Survey of Deposits and Contaminants in Mills Using Recycled Fibre Maurice Douek, Bruce Sitholé Paprican & Sujit Banerjee IPST TAPPI 2003 Fall Technical Conference % Based on Days with High Number of Breaks % Based on Days with High Downtime % Based on Downtime Minutes 1.5 to 2 times more issues with Dryers % Based on Industry Survey [1] PM Runnability Issue Wet End/Press Breaks Dryer Breaks Calender Breaks Scanner Build-up 6
9 Tracking A Week of Colloidal Organics EMMA Potential (ppm-toc) EMMA - Effective Measurement of Micro-organic Accumulation Headbox 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 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 of colloidal stability.
10 Defining Stable Colloidal Organics EMMA Potential (ppm-toc) EMMA - Effective Measurement of Micro-organic Accumulation Unstable Stable Unstable Headbox 08/27 08/28 08/29 08/30 08/31 09/01 09/02 09/03 09/04 Sample Date High Colloidal Concentration = Runnability Issues Low Colloidal Concentration = Runnability Issues
11 Unstable Colloidal Organic Events EMMA Potential (ppm-toc) EMMA - Effective Measurement of Micro-organic Accumulation Stable Headbox 08/27 08/28 08/29 08/30 08/31 09/01 09/02 09/03 09/04 Sample Date Based on the Assumption of 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 occurred
12 Swings Driven by Furnish Mix Changes EMMA - Effective Measurement of Micro-organic Accumulation EMMA Potential (ppm-toc) Sun 27 Tue 29 Thu 31 Sat 02 Mon Headbox More DIP More TMP 08/27 08/28 08/29 08/30 08/31 09/01 09/02 09/03 09/04 Sample Date More TMP More DIP Recycle Content (%) Recycle Content Swings in the amount of DIP was a significant driver in the amount of colloidal organics present at the headbox
13 Relating Dry End Break Events to EMMA Potential EMMA - Effective Measurement of Micro-organic Accumulation EMMA Potential (ppm-toc) Sun 27 Tue 29 Thu 31 Sat 02 Mon /27 08/28 08/29 08/30 08/31 09/01 09/02 09/03 09/04 Sample Date Recycle Content (%) Downtime (minutes) Headbox Recycle Content Dryer Breaks
14 Relating Dry End Break Events to 4 nm Dissolved Organics Organics Below 4,000 MW Dissolved Organics (ppm-toc) Sun 27 Tue 29 Thu 31 Sat 02 Mon Recycle Content (%) Downtime (minutes) Headbox Recycle Content Dryer Breaks 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 Potential (ppm-toc) EMMA - Effective Measurement of Micro-organic Accumulation Sun 27 Tue 29 Thu 31 Sat 02 Mon Headbox 3 Holes 2 Holes DE 85 1 HOF DE? 1 Holes 2 Holes DE 3 WE Holes 08/27 08/28 08/29 08/30 08/31 09/01 09/02 09/03 09/04 Sample Date 4 WE 5 Holes HOF 4 Holes 5 WE DE 6 Holes 6 WE DE HOF Recycle Content (%) 7 HOF 7 DE HOF Recycle Content WE: Wet End Break DE: Dry End Break Holes: Large Holes HOF: Culled Rolls 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 Unstable Dissolved Organics Unstable EMMA Potential Number of Events Amount of Downtime Percentage of Success 88% 85% 92% 82% 86% Beta unit Uptime of 69% over 28 weeks (trying to break), Operational Uptime %, Commercial Unit at 88% based on a 24 hr/day
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