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Journal articles
Magazine articles
Open Access
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.

Journal articles
Magazine articles
Open Access
Visual discrimination of hygiene tissue softness in the abse

Visual discrimination of hygiene tissue softness in the absence of haptic feedback, TAPPI JOURNAL August 2017

Journal articles
Open Access
A new perspective on tissue wet strength decay: the real values, TAPPI JOURNAL January 2013

A new perspective on tissue wet strength decay: the real values, TAPPI JOURNAL January 2013

Journal articles
Open Access
A reciprocal matrix approach to the analysis of hand-felt softness of facial tissues, TAPPI JOURNAL March 2011

A reciprocal matrix approach to the analysis of hand-felt softness of facial tissues, TAPPI JOURNAL March 2011

Journal articles
Open Access
A brominated methylethylhydantoin slimicide in a tissue mill, TAPPI JOURNAL, May 2003, Vol. 2(5) (179KB)

A brominated methylethylhydantoin slimicide in a tissue mill, TAPPI JOURNAL, May 2003, Vol. 2(5) (179KB)

Journal articles
Open Access
Lee bingham heads sca tissue in north america, TAPPI JOURNAL, July 2001, Vol. 84(7)

Lee bingham heads sca tissue in north america, TAPPI JOURNAL, July 2001, Vol. 84(7)

Journal articles
Open Access
Prioritization for an r&t program: tools that help to achieve consensus, TAPPI JOURNAL, July 2001, Vol. 84(7)

Prioritization for an r&t program: tools that help to achieve consensus, TAPPI JOURNAL, July 2001, Vol. 84(7)

Journal articles
Open Access
Meeting competitive demands in tissue production, TAPPI JOURNAL, December 1998, Vol. 81(12)

Meeting competitive demands in tissue production, TAPPI JOURNAL, December 1998, Vol. 81(12)

Journal articles
Open Access
Tissue and towel leads industry in value per ton and raw speed, TAPPI JOURNAL, July 1996, Vol. 79(7)

Tissue and towel leads industry in value per ton and raw speed, TAPPI JOURNAL, July 1996, Vol. 79(7)

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.