Process Control

May 4 - 5, 2021 | VIRTUAL and October 3-6, 2021 | LIVE! in Atlanta, GA USA

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Process Control (PC)


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The Process Control track focuses on process measurement and control. 


Process Control Technical Program

The program is currently under development and subject to change. Visit our website often for program updates.

PC1: Drive Towards: Better Applications
    Session Chair: Seyhan Nuyan, Valmet  
      PC1.1 Method for Analyzing Cross-Direction Basis Weight Profile on Multi-Ply Machines Kim William Robinson, Process Solutions Group
      PC1.2 CD Actuator Mapping Expression and Analysis Shih-Chin  Chen , ABB
      PC1.3 Measuring Key Properties of Paper and Board - A New Approach Mark Crable, TSP Oncare & Verso Co
      PC1.4 Lessons Learned in Alarm Management Dave Strobhar
PC2: Thrive with Effective Use of Data
    Session Chair: Ian Journeaux, Georgia-Pacific  
      PC2.1 Cloud Connected QCS – Achieving Sustained Peak Performance with Limited Resources Peter De Nicola, Honeywell
      PC2.2 Advanced Data Strategies for Papermaking Optimization Donald Stanley III, ABB
      PC2.3 Big Data Analytics: Lessons Learned and Case Studies John Antanies, Envoy Development


PC3-M5A3: Visions for Mill Automaton Success (Joint Session)
    Session Chair: David Worzalla, International Paper & David Pawelke, MAJIQ
      PC3-M5A3.1 Data Shaping for Big Analytics Marianna Sandin, OSIsoft
      PC3-M5A3.2 A New Approach to a Manufacturing Execution System and Digital Twin  Chris Harris, WPR Services LLC
      PC3-M5A3.3 Online Data Analysis for Process Optimization Hannes Vomhoff, Holmen AB
       PC3-M5A3.4 Industry 4.0 - A Must Way Forward for Our Pulp and Paper Industry Robert White, Pulmac Systems International
PC4: Machine Vision to Help You Excel - 1
    Session Chair: Brian Mock, Event Capture Systems  
      PC4.1 Technical Advances in Web Inspection and Process Efficiency Pete Angle, ISRA VISION
      PC4.2 Increasing Uptime in WIS and Event Capture Solutions with Server Virtualization Wesley Sweeny, Procemex
      PC4.3 Comprehensive Performance Tests of the Paper Product Formation and Surface Appearance Quality Analysis and Classification System Myron Laster, ABB
PC5: Driving Measurement Technologies to the Next Level
    Session Chair: Shih-Chin Chen, ABB  
      PC5.1 Analysis of Roughness Measurements of Coated Cardboards Sandra Rosalen, Bergische Universität Wuppertal
      PC5.2 An Online and Real-time Process Analyzer for Control in Pulp & Paper Manufacturing Jonathon Speed, Keit Spectrometers
      PC5.3 Predicting Sheet Strength Characteristics in Real Time Using Process Variables Shivamurthy Modgi, Alsip Minimill


PC6: Make Your Field Devices Thrive
    Session Chair: Michael Von Grumbkow, BTG  
      PC6.1 Does Humidity Matter in a Corrosive Environment? Mark Bradham, Advance Industrial Refrigeration
      PC6.2 Consistency Measurement and Basic Tenets of Loop Design Craig Hannah, Valmet
      PC6.3 Process Control Is Easy As 1,2, Total Insight Chris Costlow and Cherlyn Marlow, Yokogawa
      PC6.4 Gremlins Lurking on Circuit Boards David Zerr
PC7: Thrive with QCS Controls - Tutorial
    Session Chair: Kerry Figiel, International Paper  
      PC7.1 Control Handbook Tutorial: Fundamental Process Control Concepts  Jack Tippett, Emerson Automation Solutions
      PC7.2 Machine Direction Quality Control Approaches Michael Forbes, Honeywell
      PC7.3 Control Handbook Tutorial: Cross Machine Actuators - Caliper Control Jonathan Crawford, Honeywell
PC8: Machine Vision to Help You Excel - 2
    Session Chair: Wesley Sweeney, Procemex  
      PC8.1 Paper Machine Wet-End Vision Technology Offers a New Means of Optimizing Runnability and Quality Control Kari Hilden, Papertech Inc.
      PC8.2 Measurement of S and Na Distribution in Impregnated Wood Chip by XRF Hafizur Rahman, Mid Sweden University
      PC8.3 Case Study - Using Deep Learning to Classify Incoming Wood Chip Quality  Brian Mock, Event Capture Systems



Featured Presentations


Craig Hannah


Craig Hannah

Consistency Measurement and Basic Tenets of Loop Design (PC6.2)

A strong consistency measurement and control is considered by some to be a lost art as many pulp and paper mills struggle with good a Consistency Measurement Program.  The challenges are usually based on improper sensor selection, location, and sampling techniques.

This presentation will address current measurement technology and proper selection based on specific application and mill requirements.  Attendees will gain insight into proper sampling and sample data analysis to achieve the highest accuracy and repeatability possible. Additionally, basic consistency control loop guidelines, such as dilution systems, agitation, and dilution valve selection will be reviewed.


Hafizur Rahman


Hafizur Rahman

Mid Sweden University


Measurement of S and Na Distribution in Impregnated Wood Chip by XRF (PC8.2)

With increased demand to replace plastics, especially as packaging material, with renewable, easy to recycle and compostable materials, there is a greater need to improve the fundamental scientific understanding of pulp and paper manufacturing systems. This has resulted in a renewed focus on high yield pulping (HYP) processes, such as CTMP, for packaging material as well as manufacturing of hygiene paper.

A key unit operation when producing CTMP is the pre-treatment of wood chips before defibration. In order to separate the wood to individual fibers with minimum amount of electricity it is necessary soften the lignin. The lignin is softened by means of a combination of sulphonation at high pH and elevated temperatures in the preheater and in the refiner, where the fiber separation occurs.

It is challenging to create a process technology that gives an even distribution across the wood chips of the sodium sulphite containing liquid used for impregnation.

This presentation highlights a new methodology that measures the sulphonation degree on a detailed level, thus improving the impregnation technology.


Jonathon Speed


Jonathon Speed

Keit Spectrometers


An Online and Real-time Process Analyzer for Control in Pulp & Paper Manufacturing (PC5.2)

Real time analysis of manufacturing is an area of intense interest at the moment due to Industry 4.0 and recent developments in technology. Whilst online parametric measurements – such as pH, temperature, color measurements and conductivity – allow for some limited control through inferential models, it is spectroscopy based analyzers that show real, long-term potential.

Near infrared spectroscopy (NIR) has been trialed extensively in various industries, but it suffers from poor sensitivity and very poor chemical specificity and selectivity. Mid infrared (also called FTIR) offers significantly better performance but traditional FTIR instruments need fragile fiber optic cables and probes that make the instruments wholly unsuitable for manufacturing environments.

This presentation highlights a static optics FTIR spectrometer with a fiber-free probe that gives the performance of FTIR spectrometers with the reliability and robustness of NIR. Attendees will learn how it performs using a range of chemicals and about its potential use in lignocellulosic processing to improve savings in the higher value aspect of the pulp and paper manufacturing as well as the core processes.


Sandra Rosalen


Sandra Rosalen

Bergische Universität Wuppertal

Analysis of Roughness Measurements of Coated Cardboards (PC5.1)

A popular method to measure the roughness of paper and cardboards is presented in the ISO 8791-4:2007. This specification is for “coated and uncoated papers and paperboards which are intended to be printed by contacting printing processes.” Consequently, the adaptability of Parker Print Surf (PPS) for digital printings has to be analyzed closer.

This study focuses on profile roughness and area roughness analyses by means of a 3D laser scan microscope. One aim is to understand how these both methods differ of each other and from PPS measurements. In addition, it is of interest whether roughness shows a correlation on density and remission values of pigment and dye based inkjet inks. The measurements were correlated, using Pearson, Coefficient of determination r2 and Spearmen.