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Journal articles
Magazine articles
Effect of conductivity on paper and board machine performanc
Effect of conductivity on paper and board machine performance— a review and new experiences, TAPPI JOURNAL October 2017
Journal articles
Evaluation of cut quality of woodfree coated papers, TAPPI JOURNAL September 2013
Evaluation of cut quality of woodfree coated papers, TAPPI JOURNAL September 2013
Journal articles
Role of particle size and preflocculation of talc in improvement of paper properties, TAPPI JOURNAL April 2014
Role of particle size and preflocculation of talc in improvement of paper properties, TAPPI JOURNAL April 2014
Journal articles
Effect of reduced pulp xylan content on wet end chemistry and paper properties â?? a pilot scale study, TAPPI JOURNAL February 2014
Effect of reduced pulp xylan content on wet end chemistry and paper properties — a pilot scale study, TAPPI JOURNAL February 2014
Journal articles
The influence of paper surface energy on multicolor offset print mottling, TAPPI JOURNAL February 2013
The influence of paper surface energy on multicolor offset print mottling, TAPPI JOURNAL February 2013
Journal articles
Margins-based planning applied to newsprint manufacturing, TAPPI JOURNAL January 2014
Margins-based planning applied to newsprint manufacturing, TAPPI JOURNAL January 2014
Journal articles
Thin coatings for paper by foam coating, TAPPI JOURNAL July 2014
Thin coatings for paper by foam coating, TAPPI JOURNAL July 2014
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
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.