Search
Use the search bar or filters below to find any TAPPI product or publication.
Filters
Content Type
Publications
Level of Knowledge
Collections
Journal articles
Magazine articles
Creasing severity and reverse-side cracking, TAPPI Journal April 2020
ABSTRACT: Crease cracking can be detrimental to the functionality and appearance of paperboard-based packaging. The effect of creasing severity on the degree of reverse-side crease cracking (bead-side of the crease) of paperboard was investigated. Samples were creased with a range of rule and channel geometries, and the cracking degree was quantified as the percent of cracked length relative to the total length of the crease. The cracking degree was typically below 5% at low crease penetration depths, but was exponentially higher beyond a critical penetration depth. A rule and channel combination with a wider clearance shifted the critical depth to larger values. The creasing severity parameter, termed the creasing draw, converged the cracking degree data from different rule and channel combinations to a single curve. The creasing draw was derived from the same analytical expres-sions as the transverse shear strain and quantifies the length of paper that is drawn into the channel during creasing. The critical draw is defined as the draw at which cracking becomes greater than 5%, which corresponds with the point at which cracking becomes exponential. The critical draw is a material/system parameter that defines the level below which cracking is minimal.
Journal articles
Magazine articles
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
Discrete element method to predict coating failure mechanisms, TAPPI JOURNAL January 2018
Discrete element method to predict coating failure mechanisms, TAPPI JOURNAL January 2018
Magazine articles
Editor's Notes: Paperless or Paper More?, TAPPI JOURNAL, Feb
Editor's Notes: Paperless or Paper More?, TAPPI JOURNAL, February 2005, Vol. 4(2)
Magazine articles
Setting a limit, TAPPI JOURNAL, July 2002, Vol. 1(5) (52KB)
Setting a limit, TAPPI JOURNAL, July 2002, Vol. 1(5) (52KB)
Magazine articles
Environmental issues continue to be a major industry concern, TAPPI JOURNAL, September 2000, Vol. 83(9)
Environmental issues continue to be a major industry concern, TAPPI JOURNAL, September 2000, Vol. 83(9)
Magazine articles
Taiwan holds first symposium on environmentally friendly and emerging technologies for a sustainable industry, TAPPI JOURNAL, September 2000, Vol. 83(9)
Taiwan holds first symposium on environmentally friendly and emerging technologies for a sustainable industry, TAPPI JOURNAL, September 2000, Vol. 83(9)
Magazine articles
The practical influence of heterogeneity on tensile accelerated creep in paper, TAPPI JOURNAL, March 2001, Vol. 84(3)
The practical influence of heterogeneity on tensile accelerated creep in paper, TAPPI JOURNAL, March 2001, Vol. 84(3)
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.
Magazine articles
Anticipated effects of system closure on corrosion in chemical recovery equipment, TAPPI JOURNAL, August 1996, Vol.79(8)
Anticipated effects of system closure on corrosion in chemical recovery equipment, TAPPI JOURNAL, August 1996, Vol.79(8)