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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.

SetPoint: Uncertainty in the Era of Turbulence, Tissue360º Fall/Winter 2025

In case you missed it in TAPPI’s electronic Tissue 360º newsletter, Tissue360º Fall/Winter 2025

Uncertainty Dominates Tissue Markets, Tissue360º Fall/Winter 2025

The Age of Acceleration: Navigating Digital Transformation and the AI Revolution, Tissue360º Fall/Winter 2025

How Has NA’s Tissue Business Weathered the Coronavirus Pandemic?, Paper360º May/June 2021

How Has NA’s Tissue Business Weathered the Coronavirus Pandemic?, Paper360º May/June 2021

Tissue Markets: Trends That Will Shape the Next Five Years, Paper360º July/August 2022

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

APP Tissues International: Onward and Upward in the Global Market, Tissue360º Fall/Winter 2024