Search

Simplifying Moisture Measurement, Paper360º November/December 2018

Simplifying Moisture Measurement, Paper360º November/December 2018

RMM Beliefs: Part I, Paper360º November/December 2020

RMM Beliefs: Part I, Paper360º November/December 2020

Paper Chemistry for New Markets: An Overview, November/December 2023 Paper360º

Paper Chemistry for New Markets: Vendor Perspective, November/December 2023 Paper360º

Three Benefits of NIR Technology, Paper360º September/October 2022

´Carbon Will be a Lightning Rod’, Paper360º September/October 2022

Paper Chemistry: What’s New, What’s Next, Paper360º March/

Paper Chemistry: What’s New, What’s Next, Paper360º March/April 2017

Steam Generators: Small and Fast Fits the Bill, Paper360º September/October

Steam Generators: Small and Fast Fits the Bill, Paper360º September/October

Partnering with Paper for Sustainable Biomaterials, Paper360

Partnering with Paper for Sustainable Biomaterials, Paper360º September/October 2017

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.