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Oil absorption and desorption by polypropylene fibers, TAPPI
Oil absorption and desorption by polypropylene fibers, TAPPI JOURNAL September 2017
Journal articles
Magazine articles
Three-dimensional pore structure visualization and character
Three-dimensional pore structure visualization and characterization of paper using X-ray computed tomography, TAPPI JOURNAL September 2017
Journal articles
Magazine articles
Effect of surface treatment with biodegradable materials on
Effect of surface treatment with biodegradable materials on properties of linerboard made from old corrugated containers (OCC), TAPPI Journal September 2017
Journal articles
Magazine articles
Editorial: Snapshot from the pandemic: TAPPI Journal Editorial Board shares their experiences, TAPPI Journal April 2020
ABSTRACT: In this most serious time of the global COVID-19 pandemic, I and TAPPI staff have been fortunate to work remotely and practice social distancing. The same goes for our Editorial Board. Still, the business of papermaking has continued, and those on our Board who support the industry through their work and research have had to make adjustments. Here, members of the Editorial Board share their experiences of working during the pandemic. As we all anticipate returning to a new normal that once again allows face-to-face interaction, we hope our TAPPI Journal readers stay safe and healthy as we all personally and professionally navigate this challenging time.
Journal articles
Commissioning Brownstock Washing Controls for an Evaporator
Commissioning Brownstock Washing Controls for an Evaporator Limited Mill, TAPPI JOURNAL July 2016
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
Anionically surface treated inkjet and flexographic inks and
Anionically surface treated inkjet and flexographic inks and their deinkability, October 2016 TAPPI JOURNAL
Journal articles
Magazine articles
Editorial: The next phase of research in academia and industry, TAPPI Journal September 2023
ABSTRACT: The pulp, paper, and textile sectors have contrib-uted to lifestyle improvements for people with the development and commercialization of products like toilet tissue, facial wipes, diapers, and feminine hygiene products, to name a few. Research and development (R&D) efforts in these sectors are critical now more than ever due to the need for healthcare and lifesaving products, as became evident with the COVID-19 pandemic. Additionally, the need to meet net-zero carbon goals and the necessity to revive manufacturing in devel-oped economies clearly emphasize the requirement to ex-amine the R&D landscape. Academia, industry, and governments have respective roles to play in this field.
Journal articles
Magazine articles
Convolutional neural networks enhance pyrolysis gas chromatography mass spectrometry identification of coated papers, TAPPI Journal August 2024
ABSTRACT: In the evolving paper industry, accurate identification of coated paper components is essential for sustainability and recycling efforts. This study employed pyrolysis-gas chromatography mass spectrometry (Py-GCMS) to examine six types of coated paper. A key finding was the minimal interference of the paper substrate with the pyrolysis products of the coatings, ensuring reliable analysis. A one-dimensional convolutional neural network (1D-CNN) was employed to process the extracted ion chromatograms directly, simplifying the workflow and achieving a predictive accuracy of 95.2% in identifying different coating compositions. Additionally, the study high-lighted the importance of selecting an optimal pyrolysis temperature for effective feature extraction in machine learning models. Specific markers for coated papers, including polyethylene (PE), polypropylene (PP), polyethylene terephthalate (PET), polybutylene succinate (PBS), polylactic acid (PLA), and waterborne polyacrylates (WP), were identified. This research demonstrates a novel approach to coated paper identification by combining Py-GCMS with machine learning, offering a foundation for further studies in product quality and environmental impact.