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Various refining models have been created to characterize the refining action; however few models provide relations between operating conditions and resulting changes in pulp/fiber properties. The objective of the article is to construct predictive models for pulp/fiber property changes from LC refiner operating condition. Here mechanical pulps are characterized by fiber length and freeness which have been previously shown to correlate with other pulp and handsheet properties. The predictive models are created from data collected from pilot and mill flat disc LC refiners with different diameters to gain insight for the governing factors for scaling results. The intent is to use the models to maximize pulp quality development during LC refining of mechanical pulp.

MECHANICAL PULPING: Low consistency refining of mechanical pulp: Relationships between refiner operating conditions and pulp properties