Faculty Articles
Chip Size Distribution for an Ultra-high-yield Sulfite Process
Document Type
Article
Publication Title
Journal of Process Control
ISSN
0734-1415
Publication Date
1-1-2000
Abstract
Finding the best chip size distribution can help reduce strength loss during the winter. The objective was to assess the impact of chip length and thickness on the properties of handsheets made from ultra-high-yield sulfite pulp, by applying multivariate statistical analysis to data archived over 16 months. An empirical model linking chip size fractions to handsheet quality was constructed. This served as the basis for a numerical optimization in which the chip size distribution that simultaneously maximizes tensile energy absorption (TEA), tear index and burst strength was identified. Background information leads on to a description of the multivariate statistical modeling process. A partial least squares (PLS) model was constructed from mill data. Four conclusions are summarised, including the fact that almost 40% of pulp quality variability relates to seasonal changes in chip feed characteristics. The effects of the addition of fine particles and lower chip densities are explained.
Volume
83
Issue
4
First Page
76
NSUWorks Citation
Tessier, P.,
Broderick, G.,
Desrochers, C.
(2000). Chip Size Distribution for an Ultra-high-yield Sulfite Process. Journal of Process Control, 83(4), 76.
Available at: https://nsuworks.nova.edu/cps_facarticles/1042