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Applied Calibration and Validation Method of Dynamic Process Simulation for Crushing Plants
Article

Calibration and Validation of a Cone Crusher Model with Industrial Data

1
Programa de Pós-Graduação em Instrumentação, Controle e Automação de Processos de Mineração, Universidade Federal de Ouro Preto e Instituto Tecnológico Vale, Ouro Preto 35400-000, Brazil
2
Vale S.A., Canaa dos Carajas 68537-000, Brazil
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Department of Computer Science, Electrical and Space Engineering, Control Engineering Group, Luleå University of Technology, 97187 Luleå, Sweden
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Instituto Tecnológico Vale (ITV), Ouro Preto 35400-000, Brazil
*
Author to whom correspondence should be addressed.
Academic Editor: Saija Luukkanen
Minerals 2021, 11(11), 1256; https://doi.org/10.3390/min11111256
Received: 30 September 2021 / Revised: 29 October 2021 / Accepted: 29 October 2021 / Published: 11 November 2021
(This article belongs to the Special Issue Process Optimization in Mineral Processing)
This paper reports the calibration and validation of a cone crusher model using industrial data. Usually, there are three calibration parameters in the condensed breakage function; by contrast, in this work, every entry of the lower triangular breakage function matrix is considered a calibration parameter. The calibration problem is cast as an optimization problem based on the least squares method. The results show that the calibrated model is able to fit the validation datasets closely, as seen from the low values of the objective function. Another significant advantage of the proposed approach is that the model can be calibrated on data that are usually available from industrial operation; no additional laboratory tests are required. Calibration and validation tests on datasets collected from two different mines show that the calibrated model is a strong candidate for use in various dynamic simulation applications, such as control system design, equipment sizing, operator training, and optimization of crushing circuits. View Full-Text
Keywords: digital twin; cone crusher; model calibration; optimization; calibration based on industrial data digital twin; cone crusher; model calibration; optimization; calibration based on industrial data
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MDPI and ACS Style

Duarte, R.A.; Yamashita, A.S.; da Silva, M.T.; Cota, L.P.; Euzébio, T.A.M. Calibration and Validation of a Cone Crusher Model with Industrial Data. Minerals 2021, 11, 1256. https://doi.org/10.3390/min11111256

AMA Style

Duarte RA, Yamashita AS, da Silva MT, Cota LP, Euzébio TAM. Calibration and Validation of a Cone Crusher Model with Industrial Data. Minerals. 2021; 11(11):1256. https://doi.org/10.3390/min11111256

Chicago/Turabian Style

Duarte, Robson A., André S. Yamashita, Moisés T. da Silva, Luciano P. Cota, and Thiago A.M. Euzébio. 2021. "Calibration and Validation of a Cone Crusher Model with Industrial Data" Minerals 11, no. 11: 1256. https://doi.org/10.3390/min11111256

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