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The influence of strain rate and pulp properties on the stre
The influence of strain rate and pulp properties on the stress relaxation of wet paper — modeling of relaxation, November 2016 TAPPI JOURNAL
Journal articles
Magazine articles
Effect of eucalyptus bark contamination during pulping of mi
Effect of eucalyptus bark contamination during pulping of mixed southern hardwoods, November 2016 TAPPI JOURNAL
Journal articles
Passivation of pressure sensitive adhesive stickies by addit
Passivation of pressure sensitive adhesive stickies by addition of acrylic fibers to OCC pulp before papermaking, October 2016 TAPPI JOURNAL
Journal articles
Acoustic analysis of recovery boiler dissolving tank operati
Acoustic analysis of recovery boiler dissolving tank operation and smelt shattering efficiency, TAPPI JOURNAL September 2016
Journal articles
Magazine articles
Guest Editorial: The next act for nonwovens, TAPPI JOURNAL A
Guest Editorial: The next act for nonwovens, TAPPI JOURNAL August 2017
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Physical handsheet properties of pulp furnishes containing attritor-treated fibers, TAPPI JOURNAL January 2017
Physical handsheet properties of pulp furnishes containing attritor-treated fibers, TAPPI JOURNAL January 2017
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Magazine articles
Finite element analysis of the thermal bending of a chilled
Finite element analysis of the thermal bending of a chilled cast thermo roll, TAPPI JOURNAL June 2017
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Magazine articles
Editorial: Professional Networking in the Nonwovens and Technical Textiles Sector
Editorial: Professional Networking in the Nonwovens and Technical Textiles Sector
Journal articles
Magazine articles
Generlized stead-state model for chlorine dioxide brightning
Generlized stead-state model for chlorine dioxide brightning of hardwood kraft pulps, TAPPI JOURNAL May 2017
Journal articles
Magazine articles
Assessing variation in package modeling, TAPPI Journal April 2021
ABSTRACT: Predictions from empirical models are affected by variability in the input parameters for the data set used to build the models. For corrugated boxes, the difference between actual and modeled compression strength creates a real cost associated with box production, often resulting in boxes that may need to be over-designed to compensate for a lack of model precision. No work to date has attempted to assess the limitation in these compression estimates due to input parameter testing variability. In this paper we approach that problem, initially for the McKee equation and then conceptually for other box models. For our industry to do a better job at meeting the needs of our corrugated packaging customers, we need to reduce the variation in the tests we all rely on, particularly for evaluating material strength (edge crush test [ECT]) and package compression performance (box compression test [BCT]).