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Journal articles
Effect of the paper structure and composition on the surface sizing pick-up, TAPPI JOURNAL, December 2000, Vol. 83(12)
Effect of the paper structure and composition on the surface sizing pick-up, TAPPI JOURNAL, December 2000, Vol. 83(12)
Journal articles
Application of polyallylamine as a dry strength agent for paper, TAPPI JOURNAL, December 2000, Vol. 83(12)
Application of polyallylamine as a dry strength agent for paper, TAPPI JOURNAL, December 2000, Vol. 83(12)
Journal articles
Great northern paper revitalizes millinocket mill, TAPPI JOURNAL, December 2000, Vol. 83(12)
Great northern paper revitalizes millinocket mill, TAPPI JOURNAL, December 2000, Vol. 83(12)
Journal articles
Shop talk: troubleshooting moisture profile problems in the cross-machine direction, TAPPI JOURNAL, July 2000, Vol. 83(7)
Shop talk: troubleshooting moisture profile problems in the cross-machine direction, TAPPI JOURNAL, July 2000, Vol. 83(7)
Journal articles
Impact of the cluster rule on the cost competitiveness of the u.s. papermaking industry in the global market, TAPPI JOURNAL, September 2000, Vol. 83(9)
Impact of the cluster rule on the cost competitiveness of the u.s. papermaking industry in the global market, TAPPI JOURNAL, September 2000, Vol. 83(9)
Journal articles
Wet and dry coating structure of calcium carbonate pigments with narrow particle size distribution, TAPPI JOURNAL, February 2000, Vol. 83(2)
Wet and dry coating structure of calcium carbonate pigments with narrow particle size distribution, TAPPI JOURNAL, February 2000, Vol. 83(2)
Journal articles
Influence of coating rheology on final coating properties, TAPPI JOURNAL, February 2000, Vol. 83(2)
Influence of coating rheology on final coating properties, TAPPI JOURNAL, February 2000, Vol. 83(2)
Journal articles
Characterization of tensile fracture properties of paper, TAPPI JOURNAL, February 2000, Vol. 83(2)
Characterization of tensile fracture properties of paper, TAPPI JOURNAL, February 2000, Vol. 83(2)
Journal articles
Magazine articles
Paper bending stiffness and web tension measurement from a running web using a vacuum and computer imaging, TAPPI Journal May 2023
ABSTRACT: A novel method for measuring the bending stiffness of paper online during manufacturing is introduced. The method uses photometric stereo imaging to detect the shape of the deflection surface caused by a controllable pressure difference over the paper’s surfaces. The hardware for the measurement is based on a combination of two existing sensors, which has accelerated and facilitated the development of the implementation. The deflection and loads are tied together by the governing differential equation for the bending of an orthotropic elastic plate with selected simplifications. An approach to resolve material parameters and in-plane loads without knowledge of traditional boundary conditions is suggested. The presented method was tested in a paper mill during manufacturing. For bending stiffnesses measured online, correlation coefficients 0.88 and 0.92 were obtained compared to state-of-the-art laboratory measurements. However, the results gained from a moving web are noisy and the data requires correction of the slope and an off-set. Although several issues remain to be resolved before the method can be considered as an accurate measurement for industrial use, the theoretical background, the performance of online implementation, and the results are promising. Possible causes for the observed discrepancies and the future development of the method are discussed.
Journal articles
Magazine articles
Modeling and parameter optimization of the papermaking processes by using regression tree model and full factorial design, TAPPI Journal February 2021
ABSTRACT: One of the major challenges in the pulp and paper industry is taking advantage of the large amount of data generated through its processes in order to develop models for optimization purposes, mainly in the papermaking, where the current practice for solving optimization problems is the error-proofing method. First, the multiple linear regression technique is applied to find the variables that affect the output pressure controlling the gap of the paper sheet between the rod sizer and spooner sections, which is the main cause of paper breaks. As a measure to determine the predictive capacity of the adjusted model, the coefficient of determination (R2) and s values for the output pressure were considered, while the variance inflation factor was used to identify and eliminate the collinearity problem. Considering the same amount of data available by using machine learning, the regression tree was the best model based on the root mean square error (RSME) and R2. To find the optimal operating conditions using the regression tree model as source of output pressure measurement, a full factorial design was developed. Using an alpha level of 5%, findings show that linear regression and the regression tree model found only four independent variables as significant; thus, the regression tree model demonstrated a clear advantage over the linear regression model alone by improving operating conditions and demonstrating less variability in output pressure. Furthermore, in the present work, it was demonstrated that the adjusted models with good predictive capacity can be used to design noninvasive experiments and obtain.