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Continuous Lamination of HPL, Fused LP Panels and Finish Foils, 1993 European Plastic Laminates Forum Proceedings

Continuous Lamination of HPL, Fused LP Panels and Finish Foils, 1993 European Plastic Laminates Forum Proceedings

Characterization of Ink Adhesion Failure; Effect of Pre-dampening of Carbonate Containing Coatings , 2008 Advanced Coating Fundamentals Symposium

Characterization of Ink Adhesion Failure; Effect of Pre-dampening of Carbonate Containing Coatings , 2008 Advanced Coating Fundamentals Symposium

Effect of Particle Size Distribution and Packing Compression on Fluid Permeability: A Comparison of Experiments and Monte-Carlo/Lattice-Boltzmann Simulations, 2008 Advanced Coating Fundamentals Symposium

Effect of Particle Size Distribution and Packing Compression on Fluid Permeability: A Comparison of Experiments and Monte-Carlo/Lattice-Boltzmann Simulations, 2008 Advanced Coating Fundamentals Symposium

Recent advances in the commercialization of NIR (near-infrar

ABSTRACT: Near-infrared (NIR) spectroscopy techniques have held the promise of a new generation of online and lab based process analyzers for the pulping and recovery areas for some years now. NIR technology has been shown to be a quite effective method for the analysis of white, green and black liquors by multiple investigators. NIR reflectance techniques have been shown to be effective in predicting yield and kappa number in pulp samples. Recently, commercial analyzers have been developed for green liquor analysis on the dissolving tank, white and green liquor analysis in the recaust area and black liquor analysis on batch and continuous digesters. These analyzers are currently running at different mill sites and are proving to be superior to current technology choices for these applications. A commercial online and lab based yield and kappa number analyzer are currently being developed based on NIR reflectance techniques. Results will be presented on the performance of these analyzers relating to accuracy, maintenance and total installed cost. Other potential NIR applications in the pulping and recovery area will also be addressed.

Recycling performance of softwood and hardwood unbleached kraft pulps for packaging papers, TAPPI Journal February 2023

Totally chlorine-free peracetic acid pulping for nanocellulose isolation from hemp and poplar, TAPPI

ABSTRACT: Nanocellulose is a promising and sustainable feedstock for developing advanced and functional materials. However, the characteristics of nanocellulose, such as crystallinity, surface energy, and aspect ratio, can vary depending on biomass source and pretreatment methods, leading to variable performance of the nanocellulose-based materials. In this study, cellulose nanocrystals (CNCs) were isolated from hemp and poplar using totally chlorine free (TCF) peracetic acid and sodium chlorite delignification and bleaching pretreatments to probe the influences of biomass source and treatment methods on the isolation and characteristics of CNCs. Our results showed that hemp and poplar were almost completely delignified by peracetic acid treatment, whereas sodium chlorite treatment left 5%•6% lignin in the pulp. The yields of CNCs from raw hemp and poplar biomass ranged from 9.8% to 21.9% and 10.9% to 28.3%, respectively, depending on the treatment methods. The dimensions of CNCs from TCF-treated biomass generally maintained a larger width and aspect ratio than those from sodium chlorite-treated biomass. The poplar-derived CNCs exhibited slightly higher crystallinity of 53%•58% than hemp-derived CNCs of 49%•54%. The zeta potential of the CNCs, ranging from -20.1 mV to -31.1 mV, ensured a well-dispersed aqueous solution. The surface energy (dispersive energy of 40•80 mJ/m2 and specific energy of 2•10 mJ/m2), water interaction, and thermal stability of the CNCs were comparable, regardless of the biomass source and pretreatment methods. Our finding suggests that the TCF technique with peracetic acid treatment is a promising delignification and bleaching approach to obtain cellulose-rich pulps from herbaceous and hardwood biomass for nanocellulose isolation.

Rheological characterization of tack and viscoelasticity of compositions of crepe coating used in the Yankee dryer, TAPPI Journal November 2019

ABSTRACT: The vast majority of tissue production uses creping to achieve the required set of properties on the base sheet. The Yankee coating helps to develop the desired crepe that in turn determines properties such as bulk and softness. The adhesion of the sheet to the Yankee surface is a very important characteristic to consider in achieving the desired crepe. The coating mix usually consists of the adhesive, modifier, and release. A good combination of these components is essential to achieving the desired properties of the tissue or towel, which often are determined by trials on the machine that can be time consuming and lead to costly rejects. In this paper, five compo-sitions of an industrial Yankee coating adhesive, modifier, and release were examined rheologically. The weight ratio of the adhesive was kept constant at 30% in all five compositions and the modifier and release ratios were varied. The normal force and work done by the different compositions have been shown at various temperatures simulating that of the Yankee surface, and the oscillatory test was carried out to explain the linear and nonlinear viscoelastic characteristic of the optimal coating composition.

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.

Beyond Web Inspection and Monitoring systems • Intelligent cameras that increase papermaking efficiency, 19PaperCon

Beyond Web Inspection and Monitoring systems • Intelligent cameras that increase papermaking efficiency, 19PaperCon

INTELLIGENT REFINING TO CONTRIBUTE MINIMIZED OPERATING COSTS, OPTIMAL QUALITY AND INCREASED STABILITY • SOLUTIONS AND RESULTS, 19PaperCon

INTELLIGENT REFINING TO CONTRIBUTE MINIMIZED OPERATING COSTS, OPTIMAL QUALITY AND INCREASED STABILITY • SOLUTIONS AND RESULTS, 19PaperCon