Search
Use the search bar or filters below to find any TAPPI product or publication.
Filters
Content Type
Publications
Level of Knowledge
Committees
Collections
Journal articles
Magazine articles
Looking Beyond: Change for a More Sustainable World, Paper360º September/October 2024
Journal articles
Magazine articles
Ensuring a Tight Load, Paper360º, July/August 2017
Ensuring a Tight Load, Paper360º, July/August 2017
Journal articles
Magazine articles
Failure Isn’t Just an Option — It’s Unavoidable, Paper360º
Failure Isn’t Just an Option — It’s Unavoidable, Paper360º March/April 2017
Journal articles
Magazine articles
Global Study: Most People Highly Value Paper and Print, Pape
Global Study: Most People Highly Value Paper and Print, Paper360º May/June 2017
Journal articles
Magazine articles
Use of Ozone for Cooling Towers. Paper360º July/August 2020
Use of Ozone for Cooling Towers. Paper360º July/August 2020
Journal articles
Magazine articles
BIGGER, BETTER, BOLDER: BillerudKorsnäs Gruvön Surges Forward With Sustainable Paperboard, Paper360º March/April 2020
BIGGER, BETTER, BOLDER: BillerudKorsnäs Gruvön Surges Forward With Sustainable Paperboard, Paper360º March/April 2020
Journal articles
Magazine articles
Wireless Sensors Improve Toxic Gas Mitigation in P&P Mills, Paper360º May/June 2020
Wireless Sensors Improve Toxic Gas Mitigation in P&P Mills, Paper360º May/June 2020
Journal articles
Magazine articles
How Strikes, Regulations and Disasters Impact Pulp and Paper Supply Chains, Paper360º May/June 2020
How Strikes, Regulations and Disasters Impact Pulp and Paper Supply Chains, Paper360º May/June 2020
Journal articles
Magazine articles
Fixing Just One Link Doesn’t Strengthen a Chain, Paper360º September/October 2022
Journal articles
Application of AI-based approach to control the papermaking process, TAPPI Journal March 2025
ABSTRACT: This paper explores AI’s role in revolutionizing the pulp and paper industry, and specifically in predicting wet tensile strength (WTS) for specialty-grade papers. Leveraging eLIXA technology, a 90-day study achieved a 15% reduction in chemical dosage and an 80% decrease in wet tensile standard deviation. The real-time dosage prediction led to optimizing the wet strength resin (WSR) consumption and improved process reliability. The self-learning models exhibited adaptability to changing variables, ensuring their robustness. Overall, this study highlights AI’s transformative impact on efficiency, cost savings, and product quality within the dynamic landscape of papermaking. The approach used for wet strength optimization has been used to optimize other aspects of pulp and paper production.