Faculty Articles
Factors Affecting the Optimal Performance of a High-Yield Pulping Operation
Document Type
Article
Publication Title
Paperi ja Puu
ISSN
0008-4034
Publication Date
1-1-1995
Abstract
Process models based on data from close to one hundred pilot scale pulping runs are used to investigate strategies for operating a chemimechanical pulp mill. Optimal values for a total of 55 process and pulp quality variables have been calculated by applying a genetic algorithm search to a fuzzy model of the overall system. This model consists of over 90 distinct empirical relationships. Results indicate that pulp quality is maintained at minimal fibre and energy costs when the chemical pretreatment is conducted at moderately low temperature using a high SO2 concentration producing both high sulphonation and high yield simultaneously. Subsequent refining should involve applying at least 65% of the total energy in the primary stage. The pulp quality obtained is comparable to that of a CTMP pulp but with the added benefit of higher freeness.
DOI
10.1002/cjce.5450730316
Volume
73
Issue
3
First Page
391
Last Page
399
NSUWorks Citation
Broderick, G.,
Paris, J.,
Valade, J.
(1995). Factors Affecting the Optimal Performance of a High-Yield Pulping Operation. Paperi ja Puu, 73(3), 391-399.
Available at: https://nsuworks.nova.edu/cps_facarticles/1032