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Journal articles
Open Access
The forest products industry: a sustainable industry, TAPPI JOURNAL, December 2000, Vol. 83(12)

The forest products industry: a sustainable industry, TAPPI JOURNAL, December 2000, Vol. 83(12)

Journal articles
Subscription Access
A tour of Scandinavian research facilities sparks ideas for cooperation, TAPPI JOURNAL, January 1998, Vol. 81(1)

A tour of scandinavian research facilities sparks ideas for cooperation, TAPPI JOURNAL, January 1998, Vol. 81(1)

Journal articles
Subscription Access
Case study: power company operates Alabama mill's 'energy island', TAPPI JOURNAL, January 1998, Vol. 81(1)

Case study: power company operates alabama mill's 'energy island', TAPPI JOURNAL, January 1998, Vol. 81(1)

Journal articles
Subscription Access
Focusing on the future of paper machines, TAPPI JOURNAL, January 1998, Vol. 81(1)

Focusing on the future of paper machines, TAPPI JOURNAL, January 1998, Vol. 81(1)

Journal articles
Subscription Access
Influence of coating composition on web release in high speed film transfer coating, TAPPI JOURNAL, January 1998, Vol. 81(1)

Influence of coating composition on web release in high speed film transfer coating, TAPPI JOURNAL, January 1998, Vol. 81(1)

Journal articles
Subscription Access
The role of analytical winding dynamics in winder design, TAPPI JOURNAL, January 1998, Vol. 81(1)

The role of analytical winding dynamics in winder design, TAPPI JOURNAL, January 1998, Vol. 81(1)

Journal articles
Subscription Access
Tools of the hedging trade, TAPPI JOURNAL, January 1998, Vol

Tools of the hedging trade, TAPPI JOURNAL, January 1998, Vol. 81(1)

Journal articles
Open Access
89APR177

MD microstriations in paper: a two-sided shrinkage phenomenon?, TAPPI JOURNAL April 1989

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.

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