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Journal articles
Developing a New Paradigm for Linerboard Fillers, TAPPI JOURNAL March 2008
Developing a New Paradigm for Linerboard Fillers, TAPPI JOURNAL March 2008
Journal articles
Editorial: Jim Niemiec: Product innovation and the industry
Editorial: Jim Niemiec: Product innovation and the industry’s value proposition, TAPPI JOURNAL August 2016
Journal articles
Deinking evaluation using near infrared narrow band digital
Deinking evaluation using near infrared narrow band digital image analysis, TAPPI JOURNAL August 2016
Journal articles
Anaerobic treatment to improve sludge recovery at a deinked
Anaerobic treatment to improve sludge recovery at a deinked fiber pulp and paper mill, TAPPI JOURNAL February 2016
Journal articles
Editorial: TAPPI JOURNAL’s new online peer review system go
Editorial: TAPPI JOURNAL’s new online peer review system goes live, TAPPI JOURNAL February 2016
Journal articles
Effects of silica on chemical recovery in the direct caustic
Effects of silica on chemical recovery in the direct causticization of wheat straw black liquor, TAPPI JOURNAL August 2016
Journal articles
Characterizing latency removal in mechanical pulping proces
Characterizing latency removal in mechanical pulping processes part I: Kinetics, TAPPI JOURNAL February 2016
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.
Journal articles
Magazine articles
Editorial: Change, reality, and vision in the pulp and paper industry, TAPPI Journal February 2021
ABSTRACT: Change is inevitable and is a constant in our lives. Change is especially evident in this era of whirlwind, revolutionary break-throughs in communication and control technology. If nothing else, the past year has certainly made this clear.
Journal articles
Magazine articles
Editorial: Agility and adaptation in a dynamic business world, TAPPI Journal January 2021
ABSTRACT: Being agile and adaptive in this current business world is both necessary and beneficial. Throughout last year, we all continued to both directly and indirectly experience the dynamic world where we live. As we wll know, in early 2020 the pandemic gained momentum and has fundamentally altered our daily lives, both personally in how we live and professionally in how we work.