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Journal articles
ASSOCIATION NEWS - â??To P 20 Under 30â? Contest Winners Announced, Paper360° March/April 2015 - 15marpa86
Association News, Paper360º March/April 2015
Journal articles
ASPI NEWS, Paper360° March/April 2015 - 15marpa88
ASPI News, Paper360º March/April 2015
Journal articles
Advertisers Index, Paper360º March/April 2015
Advertisers Index, Paper360º March/April 2015
Journal articles
Guest Editorial: Highlighting the role of fluid mechanics, TAPPI JOURNAL May 2015
Guest Editorial: Highlighting the role of fluid mechanics, TAPPI JOURNAL May 2015
Journal articles
Bridging chemical dosage, mixing quality, and variability in paper sheets, TAPPI JOURNAL May 2015
Bridging chemical dosage, mixing quality, and variability in paper sheets, TAPPI JOURNAL May 2015
Journal articles
Development of laboratory wet creping method to evaluate and control pulp quality for tissue, TAPPI JOURNAL May 2015
Development of laboratory wet creping method to evaluate and control pulp quality for tissue, TAPPI JOURNAL May 2015
Journal articles
Maintaining knife Gate Valves, Paper360º November/December 2
Maintaining knife Gate Valves, Paper360º November/December 2015
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
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: 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.