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Earn the Competitive Advantage with Warm-up Contactless, Tissue360º Fall/Winter 2023

How to Optimize Waste Management in the Tissue Converting Process, Tissue360º Fall/Winter 2023

Pulp for Tissue: Södra’s 80-year Investment Plan, Tissue360º Fall/Winter 2023

Pulp for Tissue: Södra’s 80-year Investment Plan, Tissue360º

Meeting the Future Through Knowledge Sharing and Connection, Paper360º March/April 2023

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

Paper360°’s 2025 Power List, Paper360º September/October 2025

Research on improving the basis weight measurement accuracy of tissue paper based on PSO-BP neural network, TAPPI Journal October 2022

ABSTRACT: The near-infrared (NIR) sensor can be used for measuring the basis weight and moisture of tissue paper, but the measurement accuracy is not ideal for this paper grade. The weight range of the tissue is 10~30 g/m2, indicating that it is a low gram weight paper. The temperature and humidity of the production environment significantly impact an NIR sensor. This paper focuses on improving the measurement accuracy of tissue paper basis weight. In order to reduce the influences of temperature and humidity, a mathematical model based on a particle swarm optimization back propagation (PSO-BP) neural network is proposed. In comparison with multiple linear regression measurement models, the basis weight measurement error with the PSO-BP model is within ± 0.5 g/m2. This model can effectively improve the measurement accuracy and has a good effect on overcoming the basis weight nonlinear effect caused by the changes in ambient temperature and humidity.

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

Celupaper Puts Its Trust in Toscotec, Tissue360º Fall/Winter 2020

Celupaper Puts Its Trust in Toscotec, Tissue360º Fall/Winter 2020