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Journal articles
Dynamics of Films and Droplets Spreading on Porous Substrates, TAPPI JOURNAL, March 2007
Dynamics of Films and Droplets Spreading on Porous Substrates, TAPPI JOURNAL, March 2007
Journal articles
Improving TMP Rejects Refining through Alkaline Peroxide Pretreatment for Value-Added Mechanical Papers, TAPPI JOURNAL, March 2007
Improving TMP Rejects Refining through Alkaline Peroxide Pretreatment for Value-Added Mechanical Papers, TAPPI JOURNAL, March 2007
Journal articles
Improvement of Plybond Strength of Two-Ply Sheets by Spraying of Starch Blends, TAPPI JOURNAL, May 2007
Improvement of Plybond Strength of Two-Ply Sheets by Spraying of Starch Blends, TAPPI JOURNAL, May 2007
Journal articles
Effects of sheet moisture and calender pressure on PCC and GCC coated papers, TAPPI JOURNAL November 2007
Effects of sheet moisture and calender pressure on PCC and GCC coated papers, TAPPI JOURNAL November 2007
Journal articles
Blade, film, and curtain coating techniques and their influence on paper suface characteristics, TAPPI JOURNAL November 2007
Blade, film, and curtain coating techniques and their influence on paper suface characteristics, TAPPI JOURNAL November 2007
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.
Journal articles
Magazine articles
Editorial: 2018 TAPPI Journal features diverse content, TAPPI Journal November 2018
Editorial: 2018 TAPPI Journal features diverse content, TAPPI Journal November 2018
Journal articles
Editorial: Revisiting recycling forums past, TAPPI JOURNAL J
Editorial: Revisiting recycling forums past, TAPPI JOURNAL January 2016
Magazine articles
How to use alum with cationic dispersed rosin size, TAPPI JO
How to use alum with cationic dispersed rosin size, TAPPI JOURNAL May 2016