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Tissue roll handling with an agvs, TAPPI JOURNAL, February 2000, Vol. 83(2)

Tissue roll handling with an agvs, TAPPI JOURNAL, February 2000, Vol. 83(2)

Tissue roll handling with an agvs, TAPPI JOURNAL, February 2000, Vol. 83(2)

Tissue roll handling with an agvs, TAPPI JOURNAL, February 2000, Vol. 83(2)

Effects of creping conditions on surface softness of tissue paper - application of sled method, TAPPI JOURNAL, December 2000, Vol. 83(12)

Effects of creping conditions on surface softness of tissue paper - application of sled method, TAPPI JOURNAL, December 2000, Vol. 83(12)

Second iT’s Tissue Attracts 1,000-Plus Visitors to Italy ,Ti

Second iT’s Tissue Attracts 1,000-Plus Visitors to Italy ,Tissue360º Fall/Winter 2015

Von Drehle Starts Up First Valmet NTT Tissue Machine in the

Von Drehle Starts Up First Valmet NTT Tissue Machine in the U.S., Tissue360º Fall/Winter 2016

He’s Got the Pulp: Schalka Sets Record as LA CEO of the Year, Paper360º September/October 2019

He’s Got the Pulp: Schalka Sets Record as LA CEO of the Year, Paper360º September/October 2019

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.

Prepare to Expect the Unexpected, Tissue360º Fall/Winter 2022

Are we running out of recycled Fiber?, Tissue360º Spring/Sum

Are we running out of recycled Fiber?, Tissue360º Spring/Summer 2014

An evaluation of household tissue softness, TAPPI Journal February 2021

ABSTRACT: This study extends our 2019 paper, a study of the softness of household tissues using a tissue softness analyzer (TSA) and hand-felt panels. It revisits the softness theory of Holger Hollmark by applying a reciprocal matrix approach to measure sheet bulk softness and surface softness, and then make comparisons with the results obtained using a TSA instrument. We ascertained that there was a high correlation of R=0.904 between panel-corrected hand-felt (CHF) softness and TSA softness (TSA-HF); and a low correlation of R=-0.678 between panel-corrected hand-felt surface softness (CHSS) and TSA smoothness (TS-750). Three hunches about TSA measurements were confirmed: 1) Hollmark’s theory was confirmed by a high correlation coefficient (R=0.895) between CHF and CHSS softness, indicating that the two parameters are mutually dependent; 2) TS-750 differs from CHSS and has partial influence on TSA-HF results with a correlation of R = -0.510; and 3) although TS-750 has only limited influences on TSA-HF, further opportunities for their application can be provided using pertinent regression equations.