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Conference papers
Less Emissions and improved efficiency in Coat Drying - Project Implemented in Sappi Gratkorn OMC 9, 2021 TAPPICon Live (21TAPL)

Less Emissions and improved efficiency in Coat Drying - Project Implemented in Sappi Gratkorn OMC 9, 2021 TAPPICon Live (21TAPL)

Conference papers
Fluid Resistance: The Sizing of Paper, 2021 TAPPICon Live (21TAPL)

Fluid Resistance: The Sizing of Paper, 2021 TAPPICon Live (21TAPL)

Conference papers
Novel Materials Used as Size Press Primers for Liquid Electrophotographic Printing, 2021 TAPPICon Live (21TAPL)

Novel Materials Used as Size Press Primers for Liquid Electrophotographic Printing, 2021 TAPPICon Live (21TAPL)

Conference papers
How to Use Crill in Pulp & Paper Manufacturing, 2021 TAPPICon Live (21TAPL)

How to Use Crill in Pulp & Paper Manufacturing, 2021 TAPPICon Live (21TAPL)

Conference papers
Data Shaping for Big Analytics, 2021 TAPPICon Live (21TAPL)

Data Shaping for Big Analytics, 2021 TAPPICon Live (21TAPL)

Conference papers
Introduction to enzymes and applications within pulp, paper and board production, 2021 TAPPICon Live (21TAPL)

Introduction to enzymes and applications within pulp, paper and board production, 2021 TAPPICon Live (21TAPL)

Journal articles
Magazine articles
Open Access
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.

Technical information papers
Guidelines for Procurement of Cast Stainless Steels for Large Pumps and Valves for the Pulp and Paper Industry, Technical Information Paper TIP 0402-25 (2022)

Guidelines for Procurement of Cast Stainless Steels for Large Pumps and Valves for the Pulp and Paper Industry, Technical Information Paper TIP 0402-25 (2022)

Technical information papers
Through drying, Technical Information Paper TIP 0404-25 (2023)

Through drying, Technical Information Paper TIP 0404-25 (2023)

Dictionary of Paper CD-ROM, Fifth Edition

Dictionary of Paper CD-ROM, Fifth Edition

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