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Evaluation of folding effects on coating damage, TAPPI Journal November 2024

ABSTRACT: Barrier coatings on paperboard need to maintain integrity during converting and end-use for effective barrier performance. Folding is one of the most common deformations during converting; however, factors that affect damage during folding are not well defined. This is partly because methods to fold specimens and characterize damage are not standardized and the results are generally not transferable. In this work, we describe a method to fold paper specimens precisely and reproducibly. The keys to folding include using a defined geometry and controlled deformation. Multiple methods can be used to quantify damage; in this case, we use differences in permeability as a measure of how the coating becomes more open. Damage is sensitive to the degree of compression after the initial folding. Using a shim for support provides a defined amount of compression and minimizes the sensitivity to the applied pressure.

Europap Tezol’s New Vacuum System: Peace of Mind and Major Savings, Tissue360º Spring/Summer 2024

On the design of corrugated boards: A new FEM modeling and experimental validation, TAPPI Journal August 2025

ABSTRACT: This study presents a simplified finite element modeling (FEM) approach suitable for large structures made of corrugated boards, such as customized packages, based on a homogenization method, which is combined with correction factors for internal mechanisms. The homogenization process reduces computational time by transforming flute geometries into equivalent elastic models. In large deformations and in the presence of contact for a given geometry, the effective elastic modulus in the thickness direction, as well as the effective thickness of the structure, are corrected by two statistical Weibull distributions representing the contact and buckling mechanisms in a corrugated board. The Weibull parameters are obtained via experimental analysis, and such a process is then validated. The results demonstrate that the statistical parameters (â1 = 0.14, â2 = 1.31) can be used for the simplistic representation of corrugated boards, being computationally efficient. This research contributes to the optimization of corrugated packaging design, specifically by simplifying FEM models for faster, yet equally accurate, simulations.

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.

SetPoint: Bio-Business as Usual, Paper360º September/October 2023

A New Vision for Industry Leader IP, Paper360º September/October 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