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Journal articles
Valmet Launches IQ Virtual Sensor, Enabling Real Time Strength Optimization and Unlocking Significant Fiber and Starch Saving
Valmet introduces Valmet IQ Virtual Sensor, a software-based solution that gives paper and board producers real-time visibility of critical end-product strength properties that have traditionally been measured only in the laboratory. By providing continuous quality predictions, the solution enables mills to maintain consistent quality, reduce fiber and starch costs, decrease energy consumption, and increase overall production efficiency.
Journal articles
Valmet Launches IQ Virtual Sensor
Valmet introduces Valmet IQ Virtual Sensor, a software-based solution that gives paper and board producers real-time visibility of critical end-product strength properties that have traditionally been measured only in the laboratory. By providing continuous quality predictions, the solution enables mills to maintain consistent quality, reduce fiber and starch costs, decrease energy consumption, and increase overall production efficiency.
Journal articles
TAPPI OTW: Safe, Sustainable Packaging for a Plastic-free and PFAS-free Future
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Conner Industries Appoints Kevin Kenjarski as Chief Revenue Officer
Conner Industries, Inc., the leading provider of industrial packaging solutions (wood, foam, corrugate, and plastics), lumber, industrial wood crates, and pallets, today announced the appointment of Kevin Kenjarski as Chief Revenue Officer (CRO)
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Journal articles
Magazine articles
On the usage of online fiber measurements for predicting bleached eucalyptus kraft pulp tensile index — an industrial case, TAPPI Journal July 2022
ABSTRACT: Cellulose pulp’s physical-mechanical properties are determined by laboratory tests obtained from prepared handsheets. However, this procedure is time intensive and presents a lead time until the results are available, hindering its utilization for monitoring and decision-making in a pulp mill. In this context, developing real-time solutions for physical-mechanical properties prediction is fundamental. This work applied a mathematical modeling approach to develop a soft sensor for tensile index monitoring. The mathematical model considers online morphology measurements obtained from the last bleaching stage outlet stream and important process variables for tensile index prediction. The results obtained are satisfactory compared to laboratory results, presenting a mean absolute percentual error of 2.5%, which agrees with the laboratory testing method’s reproducibility.
Journal articles
ABB Baldor-Reliance V*S Master RS Motors Boost Performance and Energy Savings
Journal articles
Ecohelix Wins Green Product Award
Journal articles
Sonoco Delivers Recyclable, 96% Paper Can for NaturDrops Natural Dog Treats
Journal articles
Green Bay Packaging Highlights Eco Benefits of Corrugated Boxes
Journal articles
APC Showcases Eco-Friendly Seasoning Packets Designed for Recyclability
Journal articles
Lecta Expands Sustainable Food Service Packaging With EraCup Natural
Two Sides member, Lecta, continues to innovate in sustainable packaging with the expansion of its EraCup Natural paperboard, a high-performance solution designed for a wide range of food service applications.
