Search

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

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.

Closed Circuit Reverse Osmosis • A Better Mousetrap for the Water Purification Needs of the Paper Industry, TAPPICon22

Using Novel DNA Methods to Achieve Higher Process Efficiency and Performance, TAPPICon22

Enzymatic Bio-bleaching to Elevate Final Brightness and Mitigate Pulp Reversion, TAPPICon22

Preparation of Water Redispersible Nanocellulose through Interfering Fibre-to-Fibre Interaction: the Effect of Adsorption of Water-Soluble Polysaccharides onto Fibre Surfaces, TAPPICon22

Machine Vision AI, Self-learning Process Disturbance Monitoring Device, TAPPICon22

A study of the softness of household tissues using a tissue softness analyzer and hand-felt panels, TAPPI Journal March 2019

ABSTRACT: This study applied the reciprocal matrix approach to deduce the correlation between hand-felt (HF) and tissue softness analyzer (TSA) instrumental measurements of tissue softness. The research was conducted in three phases, which are discussed separately. In the phase one study, results indicated that systematic collection of samples and preparation of test specimens were the foundation of successful tests. TSA-HF and tensile strength exhibited a strong negative correlation. In the future, same-unit physical properties can provide a basis for discuss-ing the commonality and complementary natures of hand-felt and TSA softness measurements. In phase two, through the reciprocal matrix approach, subjective softness assessments performed by humans were reliably quan-tified. The quantified values were further applied to a statistical analysis using the t-test to distinguish and train pro-fessional panelists. In phase three of HF panel test results, all independent panels were compared to one another under a uniform scale established by four standard samples. The calibrated HF panel values were incorporated with TSA-HF results to establish technical curves between the softness and tensile strength, which were helpful for onsite workers to carry out process controls.

Surface Mapping Of Fibers As A Screening Mechanism For Fiber Modifying Enzymes, 19TissueCon

Surface Mapping Of Fibers As A Screening Mechanism For Fiber Modifying Enzymes, 19TissueCon