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Journal articles
2004 Performance Survey of the North American Paper Industry, TAPPI JOURNAL, Online Exclusives, December 2004. Vol 3(12), (723KB)
2004 Performance Survey of the North American Paper Industry, TAPPI JOURNAL, Online Exclusives, December 2004. Vol 3(12), (723KB)
Journal articles
An investigation of latex particle clustering in the wet coating color, Solutions! & TAPPI JOURNAL, January 2004, Vol. 3(1) (946KB)
An investigation of latex particle clustering in the wet coating color, Solutions! & TAPPI JOURNAL, January 2004, Vol. 3(1) (946KB)
Journal articles
A financial review of the north american paper industry, TAPPI JOURNAL, Online Exclusive, January 2004, Vol. 3(1) (KB)
A financial review of the north american paper industry, TAPPI JOURNAL, Online Exclusive, January 2004, Vol. 3(1) (KB)
Journal articles
Cationic latex as a multifunctional wet-end additive in highly filled paper, Solutions! & TAPPI JOURNAL, January 2004, Vol. 3(1) (398KB)
Cationic latex as a multifunctional wet-end additive in highly filled paper, Solutions! & TAPPI JOURNAL, January 2004, Vol. 3(1) (398KB)
Journal articles
Magazine articles
Creating adaptive predictions for packaging-critical quality parameters using advanced analytics and machine learning, TAPPI Journal November 2019
ABSTRACT: Packaging manufacturers are challenged to achieve consistent strength targets and maximize pro-duction while reducing costs through smarter fiber utilization, chemical optimization, energy reduction, and more. With innovative instrumentation readily accessible, mills are collecting vast amounts of data that provide them with ever increasing visibility into their processes. Turning this visibility into actionable insight is key to successfully exceeding customer expectations and reducing costs. Predictive analytics supported by machine learning can provide real-time quality measures that remain robust and accurate in the face of changing machine conditions. These adaptive quality “soft sensors” allow for more informed, on-the-fly process changes; fast change detection; and process control optimization without requiring periodic model tuning.The use of predictive modeling in the paper industry has increased in recent years; however, little attention has been given to packaging finished quality. The use of machine learning to maintain prediction relevancy under ever-changing machine conditions is novel. In this paper, we demonstrate the process of establishing real-time, adaptive quality predictions in an industry focused on reel-to-reel quality control, and we discuss the value created through the availability and use of real-time critical quality.
Journal articles
PET Recyclable Polymer for Making Paper Washbowls, TAPPI JOURNAL May 2008
PET Recyclable Polymer for Making Paper Washbowls, TAPPI JOURNAL May 2008
Journal articles
Effect of Eucalyptus Globulus Wood Density on Papermaking Potential, TAPPI JOURNAL May 2008
Effect of Eucalyptus Globulus Wood Density on Papermaking Potential, TAPPI JOURNAL May 2008
Journal articles
Modified Egyptian Talc as Internal and Surface Treatments for Papermaking, TAPPI JOURNAL April 2009
Modified Egyptian Talc as Internal and Surface Treatments for Papermaking, TAPPI JOURNAL April 2009
Journal articles
The Relationship Between Tack and Linting in Offset Printing of Newsprint Grades, TAPPI JOURNAL August 2009
The Relationship Between Tack and Linting in Offset Printing of Newsprint Grades, TAPPI JOURNAL August 2009
Journal articles
Effect of High-Temperature Drying of Recycled Paper on Heat Transfer Rates and Sheet Properties, TAPPI JOURNAL August 2009
Effect of High-Temperature Drying of Recycled Paper on Heat Transfer Rates and Sheet Properties, TAPPI JOURNAL August 2009