Caliper Dynamic Correlation – Single point Method TAPPI TIP 1101-10 Webinar

Dynamic sensor correlation remains a critical challenge in the papermaking process, often presenting as discrepancies between Quality Control System (QCS) sensor readings and laboratory test results, or inconsistencies within lab measurements themselves. These variances can significantly impact both operational efficiency and final product quality.

This presentation emphasizes the importance of TAPPI-recommended dynamic sampling procedures in addressing these challenges, with a focus on the methodologies outlined in Technical Information Paper (TIP) 1101-10 – Caliper Dynamic Correlation Single Point Method.

Attendees will gain practical insights into machine direction caliper correlation, including techniques for calculating regression coefficients to ensure accurate and reliable data interpretation. The session will offer actionable guidance and best practices to optimize sampling procedures, improve sensor correlation accuracy, and enhance overall product consistency. Whether participants are troubleshooting current issues or refining established practices, this presentation will provide valuable tools for improving measurement reliability in papermaking operations.

Who Should Attend?

• Process Control Engineer
• Production Manager
• Lab Manager
• Quality Engineer
• Pulp and Paper Manufacturers
• QCS and Process Automation Vendors

Learning Outcomes

• Identify common causes of sensor and lab data discrepancies in the correlation process and understand the impact on product quality and operational efficiency  
• Evaluate and select the most appropriate dynamic sampling and correlation method for specific papermaking scenarios, using TAPPI TIP 1101-10 guidelines 

Mike holds a degree in Electromechanical Technology from Allegany College of Maryland and has been with ABB since 1993, serving the pulp and paper industry in a variety of technical roles. His experience includes positions as a Field Service Engineer, Systems Engineer, and Team Leader at numerous customer sites.

Currently, Mike is an Instructor at ABB University, where he is responsible for delivering training on Quality Control System (QCS) hardware, software, troubleshooting, process control, and optimization. He also plays a key role in developing new curriculum and training methodologies to support evolving industry needs.

Mike is a co-inventor on a patent related to square point control in paper machine systems.

He is also an active member of the TAPPI Common Interest Group on Sensor Correlation, which has published four Technical Information Papers (TIPs) and is currently developing a fifth.

Over his 30+ year career, Mike has supported paper mills across North America with system maintenance, process improvements, and QCS sensor correlation strategies.