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Journal articles
The business of research: strategies for the future, TAPPI JOURNAL, December 2000, Vol. 83(12)
The business of research: strategies for the future, TAPPI JOURNAL, December 2000, Vol. 83(12)
Journal articles
The forest products industry: a sustainable industry, TAPPI JOURNAL, December 2000, Vol. 83(12)
The forest products industry: a sustainable industry, TAPPI JOURNAL, December 2000, Vol. 83(12)
Journal articles
89APR177
MD microstriations in paper: a two-sided shrinkage phenomenon?, TAPPI JOURNAL April 1989
Journal articles
The effect of slot shape on the performance of a pressure screen, Solutions! & TAPPI JOURNAL, May 2004, Vol. 3(5) (1836KB)
The effect of slot shape on the performance of a pressure screen, Solutions! & TAPPI JOURNAL, May 2004, Vol. 3(5) (1836KB)
Journal articles
Response of bagasse and wheat straw recycled pulps to refining, Solutions! & TAPPI JOURNAL, October 2004, Vol. 3(10) (349KB)
Response of bagasse and wheat straw recycled pulps to refining, Solutions! & TAPPI JOURNAL, October 2004, Vol. 3(10) (349KB)
Journal articles
Accelerated light exposure of wood-containing pulps. part I: effects of wavelength and intensity, Solutions! & TAPPI JOURNAL, October 2004, Vol. 3(10) (726KB)
Accelerated light exposure of wood-containing pulps. part I: effects of wavelength and intensity, Solutions! & TAPPI JOURNAL, October 2004, Vol. 3(10) (726KB)
Journal articles
A computational study of the fluid flow through a hydraulic headbox, TAPPI JOURNAL, October 2005, Vol. 4(10) (356 KB)
A computational study of the fluid flow through a hydraulic headbox, TAPPI JOURNAL, October 2005, Vol. 4(10) (356 KB)
Journal articles
Reduction of odorous reduced sulfur emissions from kraft pulp mills using green liquor dregs, TAPPI JOURNAL, October 2005, Vol. 4(10) (528 KB)
Reduction of odorous reduced sulfur emissions from kraft pulp mills using green liquor dregs, TAPPI JOURNAL, October 2005, Vol. 4(10) (528 KB)
Journal articles
Does kraft hardwood and softwood pulp viscosity correlate to
Does kraft hardwood and softwood pulp viscosity correlate to paper properties?, October 2016 TAPPI JOURNAL
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.