Visualizing Yield Profiles in Continuous Cooking Processes

Ahvenlampi, Timo; Rantanen, Rami; Kortela, U.

doi:10.3182/20050703-6-cz-1902.01612

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…The authors optimised the model parameters for both softwood and hardwood. Ahvenlampi et al [41] predicted the yield profiles of conventional and Downflow Lo-Solids digesters by combining the Gustafson model and fuzzy clustering. Santos et al [42] studied the kinetics of hardwood carbohydrate degradation during bulk phase to better understand losses during the Kraft process.…”

Section: Gustafson Modelmentioning

confidence: 99%

A Review on the Modeling, Control and Diagnostics of Continuous Pulp Digesters

2020

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Being at the heart of modern pulp mills, continuous pulp digesters have attracted much attention from the research community. In this article, a comprehensive review in the area of modeling, control and diagnostics of continuous pulp digesters is conducted. The evolution of research focus within these areas is followed and discussed. Particular effort has been devoted to identifying the state-of-the-art and the research gap in a summarized way. Finally, the current and future research directions in the areas have been analyzed and discussed. To date, digester modeling following the Purdue approach, Kappa number control using model predictive controllers and health index-based diagnostic approaches by utilizing different statistical methods have dominated the field. While the rising research interest within the field is evident, we anticipate further developments in advanced sensors and integration of these sensors for improving model prediction and controller performance; and the exploration of different AI-based approaches will be at the core of future research.

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Section: Gustafson Modelmentioning

confidence: 99%