Multivariate linear regression model of paste thickener

Jari Ruuska
Control Engineering, University of Oulu, Finland

Eemeli Ruhanen
Yara Suomi Oy, Siilinjärvi Mill, Finland

Janne Kauppi
Outotec (Finland) Oy, Finland

Sakari Kauvosaari
Outotec (Finland) Oy, Finland

Mika Kosonen
Outotec (Finland) Oy, Finland

Ladda ner artikelhttps://doi.org/10.3384/ecp20176160

Ingår i: Proceedings of The 61st SIMS Conference on Simulation and Modelling SIMS 2020, September 22-24, Virtual Conference, Finland

Linköping Electronic Conference Proceedings 176:22, s. 160-164

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Publicerad: 2021-03-03

ISBN: 978-91-7929-731-2

ISSN: 1650-3686 (tryckt), 1650-3740 (online)


The world is using a lot of materials in the day-to-day life. This requires a lot of mining of the ores from the ground. As the amount of ore is remarkable, also the amount of waste rock and for that reason the amount of the tailings is huge. The water content of the tailings is a subject to decrease. One potential technology for that is a paste thickener. In this paper, a multivariate linear regression model using paste line pressure difference as an output variable is described. The model can be utilized for the development of a new control strategy. Another model was formed using rake torque as an output variable.


paste thickener, multivariate linear regression, pressure difference, rake torque


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