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Journal articles
Shop talk: Paper machine and additive system boilouts, TAPPI JOURNAL, July 1998, Vol. 81(7)
Shop talk: paper machine and additive system boilouts, TAPPI JOURNAL, July 1998, Vol. 81(7)
Journal articles
New generation of dynamic testing devices, TAPPI JOURNAL, July 1998, Vol. 81(7)
New generation of dynamic testing devices, TAPPI JOURNAL, July 1998, Vol. 81(7)
Journal articles
A pilot paper machine evaluation of the effects of pressing on newsprint quality, TAPPI JOURNAL, June 1998, Vol. 81(6)
A pilot paper machine evaluation of the effects of pressing on newsprint quality, TAPPI JOURNAL, June 1998, Vol. 81(6)
Journal articles
Product characterization and problem solving using an image analyzer, TAPPI JOURNAL, June 1998, Vol. 81(6)
Product characterization and problem solving using an image analyzer, TAPPI JOURNAL, June 1998, Vol. 81(6)
Journal articles
English as a first and second language part 3: Speak to be understood, TAPPI JOURNAL, June 1998, Vol. 81(6)
English as a first and second language part 3: speak to be understood, TAPPI JOURNAL, June 1998, Vol. 81(6)
Journal articles
The challenge of besting press section performance, TAPPI JOURNAL, June 1998, Vol. 81(6)
The challenge of besting press section performance, TAPPI JOURNAL, June 1998, Vol. 81(6)
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
Critical parameters for tall oil separation I: The importance of ration of fatty acids to rosin acids, TAPPI Journal September 2019
ABSTRACT: Tall oil is a valuable byproduct in chemical pulping of wood, and its fractions have a large spectrum of applications as chemical precursors, detergents, and fuel. High recovery of tall oil is important for the economic and environmental profile of chemical pulp mills. The purpose of this study was to investigate critical parameters of tall oil separation from black liquor. To investigate this in a controlled way, we developed a model test system using a “synthetic” black liquor (active cooking chemicals OH- and HS- ions), a complete process for soap skimming, and determination of recovered tall oil based on solvent extraction and colorimetric analysis, with good reproducibility. We used the developed system to study the effect of the ratio of fatty acids to rosin acids on tall oil separation. When high amounts of rosin acids were present, tall oil recovery was low, while high content of fatty acids above 60% significantly promoted tall oil separation. Therefore, manipulating the content of fatty acids in black liquor before the soap skimming step can significantly affect the tall oil solubility, and hence its separation. The findings open up chemical ways to improve the tall oil yield.
Journal articles
Magazine articles
A new technique for the measurement of show-through mottle of fine paper, TAPPI Journal September 2019
ABSTRACT: Mottling within print-through and show-through is caused by the variability of the local optical properties of the sheet. This mottling is visually disturbing and a mark of poor paper quality. The ability to predict print-through mottle of printed paper by measuring show-through mottle on the unprinted sheet would be a valuable asset for paper machine control.We examined the relationship between print-through mottle and show-through mottle. We worked with nine samples of 60 lb. uncoated fine paper (90 g/m2), from various North American paper companies, that were printed on an offset press, 400K (400% Black), on both sides. A show-through mottle instrumental determination technique was developed using an existing Fast Fourier Transform-based algorithm. The nine samples examined were ranked similarly by the visual evaluation of print-through mottle and by the instrumental determination of show-through mottle. We thus established that show-through on the unprinted sheet can be used as a reliable predictor of print-through, therefore saving time and money for papermakers. We also found a significant two-sidedness in show-through for some of the samples.
Journal articles
Modeling of Bagginess Due to Storage of Paper Reels With Ridges, TAPPI JOURNAL September 2009
Modeling of Bagginess Due to Storage of Paper Reels With Ridges, TAPPI JOURNAL September 2009