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Is Thermal-Chemical Conversion a Valid Consideration Today?,

Is Thermal-Chemical Conversion a Valid Consideration Today?, 1995 Coating Conference Proceedings

Impact of Coated Paperboard Properties on Converting, 1995 C

Impact of Coated Paperboard Properties on Converting, 1995 Coating Conference Proceedings

Consolidation of Pigmented Coatings: Development of Porous S

Consolidation of Pigmented Coatings: Development of Porous Structure, 1995 Coating Conference Proceedings

Porous Structure of Paper Coatings - A Comparison of Mercury

Porous Structure of Paper Coatings - A Comparison of Mercury Porosimetry and Stain-Imbibition Methods of Measurement, 1995 Coating Conference Proceedings

Potential Threats Towards Publication and Catalogue Papers,

Potential Threats Towards Publication and Catalogue Papers, 1995 Coating Conference Proceedings

Substrate Effects on Binder Migration in Drying Porous Coatings, 1996 Coating Conference Proceedings

Substrate Effects on Binder Migration in Drying Porous Coatings, 1996 Coating Conference Proceedings

Infrared Test Method To Measure Coating Immobilization, 1996 Coating Conference Proceedings

Infrared Test Method To Measure Coating Immobilization, 1996 Coating Conference Proceedings

Journal articles
Open Access
Developing a New Paradigm for Linerboard Fillers, TAPPI JOURNAL March 2008

Developing a New Paradigm for Linerboard Fillers, TAPPI JOURNAL March 2008

Journal articles
Magazine articles
Open Access
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.

Calender Machine Servo Valve Sticking Solution With Oil Purification, 2003 Fall Technical Conference

Calender Machine Servo Valve Sticking Solution With Oil Purification, 2003 Fall Technical Conference

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