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Journal articles
Open Access
A Diffractive Gloss Meter for Local Gloss Measurements of Papers and Prints, TAPPI JOURNAL April 2008

A Diffractive Gloss Meter for Local Gloss Measurements of Papers and Prints, TAPPI JOURNAL April 2008

Journal articles
Magazine articles
Open Access
Slot die coating of nanocellulose on paperboard, TAPPI Journal January 2018

Slot die coating of nanocellulose on paperboard, TAPPI Journal January 2018

Journal articles
Magazine articles
Open Access
Discrete element method to predict coating failure mechanisms, TAPPI JOURNAL January 2018

Discrete element method to predict coating failure mechanisms, TAPPI JOURNAL January 2018

Journal articles
Open Access
Dynamic Modeling of a Paper Machine, Part II: Evaluation of Wet-End Model Dynamics, TAPPI JOURNAL, February 2007

Dynamic Modeling of a Paper Machine, Part II: Evaluation of Wet-End Model Dynamics, TAPPI JOURNAL, February 2007

Journal articles
Open Access
Optimization of Rectangular Pulp Stock Mixing Chest Dimensions Using Dynamic Tests, TAPPI JOURNAL, February 2007

Optimization of Rectangular Pulp Stock Mixing Chest Dimensions Using Dynamic Tests, TAPPI JOURNAL, February 2007

Journal articles
Magazine articles
Open Access
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
Open Access
Life-cycle thinking in the pulp and paper industry, part 2: LCA studies and opportunities for development, TAPPI JOURNAL, August 2007

Life-cycle thinking in the pulp and paper industry, part 2: LCA studies and opportunities for development, TAPPI JOURNAL, August 2007

Journal articles
Open Access
Imaging the three-dimensional structure of forming fabrics, TAPPI JOURNAL, August 2007

Imaging the three-dimensional structure of forming fabrics, TAPPI JOURNAL, August 2007

Journal articles
Open Access
Paper coating properties as affected by pigment blending and calendering, TAPPI JOURNAL, August 2007

Paper coating properties as affected by pigment blending and calendering, TAPPI JOURNAL, August 2007

Journal articles
Open Access
Flame length in lime kilns with a separate noncondensible gas burner, TAPPI JOURNAL December 2007

Flame length in lime kilns with a separate noncondensible gas burner, TAPPI JOURNAL December 2007

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