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Journal articles
The Shifting North American Industry, Paper360º June/July 2008
The Course is Changing Due to Geographic, Ownership Changes and Rising Timberland Prices, Paper360º June/July 2008
Journal articles
Ten Steps to Sexy, Paper360º June/July 2008
Ten Steps to Sexy, Paper360º June/July 2008
Journal articles
Ragauskas, Dutton Honoured at PaperCon '08, Paper360° June/July 2008
TAPPI, PIMA Honor Ragauskas, Dutton, Paper360º June/July 2008
Journal articles
Effects of impregnation time on hardwood kraft pulp characteristics and papermaking potential â?¢ a mill study, TAPPI JOURNAL April 2010
Effects of impregnation time on hardwood kraft pulp characteristics and papermaking potential • a mill study, TAPPI JOURNAL April 2010
Journal articles
Superhydrophobic paper coating containing nonconventional clay, TAPPI JOURNAL November 2010
Superhydrophobic paper coating containing nonconventional clay, TAPPI JOURNAL November 2010
Journal articles
Growing a Technologically Advanced Workforce: NPT2, Paper360° November/December 2010
Growing a Technologically Advanced Workforce: NPT2, Paper360º November/December 2010
Journal articles
A Leader in Scientific Research: Dr. Celso Foelkel, Paper360° November/December 2010
A Leader in Scientific, Paper360º November/December 2010
Journal articles
Better Bonding, Paper360° November/December 2010
Better Bonding, Paper360º November/December 2010
Journal articles
Setpoint: Oil and Water, Paper360° September/October 2010
SetPoint: Oil and Water, Paper360º September/October 2010
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.