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Optimizing refiner operation with statistical modelling
Authors:G Broderick  R Lanovette  J L Valade
Abstract:A series of pilot scale refining trials has been conducted to study the impact of refining conditions on the energy efficiency of the process and on the handsheet quality of a chemimechanical pulp. Black spruce (Picea mariana) chips, cooked to a yield of 90% and a sulphonate content of 1.4%, were refined in two atmospheric stages. Plate gap and consistency in each stage was controlled according to a central composite design. Statistical models of refiner performance were constructed from these experimental results and a non-linear optimization of process conditions was conducted. Optimization results were verified with plant trials which indicate that increasing the ratio of specific energy applied in the first stage leads to a reduction of approximately 15% in the total energy required. Inversely, this strategy can be used to obtain significant increases in pulp quality for a given energy input. The results also indicate that the largest proportion of energy must be applied to the fibres at high consistency.
Keywords:Chemimechanical pulp refining  design of experiments  optimization  pulp quality  energy reduction
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