PAPERmaking! Vol6 Nr2 2020

 PAPERmaking! FROM THE PUBLISHERS OF PAPER TECHNOLOGY  Volume 6, Number 2, 2020

Instrumentation for Measuring the Wet Frictional Property of Sanitary Pads, Ka-Po Maggie Tang, Ching-Hei Li & Chi-Wai Kan, Fibers and Polymers , 21, 2020, https://doi.org/10.1007/s12221-020-9623-3. Women wear sanitary pad for whole day during their menstruation period. They have direct skin contact with it even for sleeping and exercising. The presence of sweat and menstrual blood increases the moisture level and the adhesion of liquid to textile causing sensorial discomfort. This study describes the design and uses of modified Textile Stickiness Measurement System (TSMS) which can characterize the frictional properties of sanitary pads under both dry and wet conditions. The uniqueness of this measurement system is that the wetness level of the pad is adjustable and the surface profile of the contacting object (i.e. Lorica®Soft) does simulate the condition of human skin. Also, it does not have restriction on the type of sanitary pad that can be tested. Among the 12 sanitary pads tested (disposable and reusable types), the frictional force for the disposable sanitary pads is lower than the reusable pads whilst the performance of disposable sanitary pads with nonwoven surface is lower than the one with perforated surface. These can attribute to their liquid transport property and surface feature. For those with better liquid transport property, less water will stay on skin surface and so the adhesion between skin and textiles is lower. For those with protruding fibers on its surface, it reduced the contact area and so the frictional force is lower. Estimation of basis weight, ash content and moisture content in papermaking plants: A comparative study, Beom Seok Kim, Tae Chang Park & Yeong Koo Yeo, Korean Journal of Chemical Engineering , 37, 2020, https://doi.org/10.1007/s11814- 020-0549-7. The papermaking process is a typical nonlinear process with multiple input- output variables, so it is difficult to construct an accurate model for the process. Data- based modeling techniques may be used to establish a reliable paper plant model. In particular, the LSSVM (least-squares support vector machine) can be used to create a highperformance papermaking process model based on operation data. In this paper, we present a paper plant model that can predict three key output variables (basis weight, ash content, moisture content) with four input variables (stock flow, filler flow, speed, steam pressure) using LSSVM. The proposed LSSVM model is compared with other data-based models (the ANN (artificial neural network) model and the state-space model). The LSSVM model turned out to exhibit better estimation performance compared to others. TISSUE Influence of tissue paper converting conditions on finished product softness, de Oliveira Mendes, A., Vieira, J.C., Carta, A.M., Galli, E., Simões, R., Silva, M., Costa, A.P., and Fiadeiro, P.T., BioResources , 15(3), DOI: 10.15376/biores.15.3.7178- 7190. Tissue paper conversion consists of the transformation of base tissue papers into finished tissue products to meet specific demands. When base tissue paper arrives at the converting line, it already holds different requirements that were met during its manufacture in the paper machine (e.g., grammage, bulk, tensile index, etc.). However, what happens during converting can still influence the performance and quality of the finished products. The current work addresses this topic and aims to evaluate the influence of converting conditions on the final softness. For that, two 5-ply finished tissue products were analyzed using different methodologies for their proper characterization in terms of softness and surface analysis. The analyzed products are composed by the same base tissue papers, but some changes were applied on their settings in the converting line. In particular, the base tissue papers arrangement and the embossing pressure affected the finished products, resulting in one of them being softer and more pleasant to touch, with a global handfeel (HF) value of 75.3 units, and the other revealed to be rougher and less pleasant, with a global handfeel (HF) value of 68.0 units.

 

Technical Abstracts 

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