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Variability is defined as the absence of uniformity in pulp stock that varies over time, TAPPICon 2023

Justification of Chemical Application Programs Through Full Understanding of Process, TAPPICon 2023

Modelling Strength Properties of Kraft Linerboard made on Multi-ply Paper Machine from Component Properties and Machine Factors, TAPPICon 2023

Enhancing Process Stability Through Efficient Water Management: Methodology, TAPPICon 2023

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.

A roadmap for future papermakers: Dr. Peter W. Hart’s TAPPI Journal contributions, TAPPI Journal December 2024

ABSTRACT: Dr. Peter W. Hart’s passing earlier this year, many of his fellow TAPPI Journal Editorial Board members, peers, and colleagues have reflected on the lasting significance of his contributions to TAPPI and the industry at large. In this special December tribute issue, we have compiled some of Peter’s past contributions to TAPPI Journal as selected by those individuals familiar with his research. Many of the papers highlight Peter’s dedication to collaborative work.

Dust Mitigation Safety Course: Vital for Tissue Makers, Tissue360º Fall/Winter 2024

Sofidel Enhances Safety and Efficiency with AMESPHERE from AME, Tissue360º Fall/Winter 2024

Editorial: New coating grades require new tests: Barrier performance inside the package, TAPPI Journal November 2024

The TAPPI Journal special Coating issue is an annual issue that focuses on paper coating and coated papers. It is drawn from presentations at TAPPICon and from other submissions on the topic of paper coating. The TAPPICon 2024 Coating track was rich in high-quality technical content. In fact, the papers were of such significance that Coating members of the TAPPI Journal Editorial Board, which include me, Gregg Reed, and Gregory Welsch, decided that a second paper coating-related special issue would be appropriate for the TAPPI Journal editorial calendar. In addition to the current issue on Barrier Coating Testing, there will be another issue on Coating Fundamentals in early 2025.

Test method and coating composition impact on measured moisture vapor transmission rate for waterborne coatings on paper, TAPPI Journal November 2024

ABSTRACT: Moisture vapor barrier is one of the necessary performance attributes for paper packages. Two methods are typically employed to assess the moisture vapor transmission rate (MVTR): the gravimetric cup method (ASTM E96) and the MOCON method (ASTM F1249). While those tests have been compared for free standing polymeric films, less is understood about their application in coated paper. Our results show that, despite a general agreement between the two methods, discrepancies exist where test protocols and material properties of coated paper impact the MVTR measurement. The measurement discrepancies can be explained by differences in local moisture concentration. Our study provides new insights on moisture vapor barrier assessment of waterborne coatings on paper and implications for achieving paper packages with improved barrier performance.