Calibration and Validation of a Cone Crusher Model with Industrial Data

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 par...

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Autores principales:	Robson A. Duarte, André S. Yamashita, Moisés T. da Silva, Luciano P. Cota, Thiago A. M. Euzébio
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	digital twin cone crusher model calibration optimization calibration based on industrial data Mineralogy QE351-399.2
Acceso en línea:	https://doaj.org/article/9eb1ccc676054b5d9b6cb7da42e7c310
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id	oai:doaj.org-article:9eb1ccc676054b5d9b6cb7da42e7c310
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spelling	oai:doaj.org-article:9eb1ccc676054b5d9b6cb7da42e7c3102021-11-25T18:26:38ZCalibration and Validation of a Cone Crusher Model with Industrial Data10.3390/min111112562075-163Xhttps://doaj.org/article/9eb1ccc676054b5d9b6cb7da42e7c3102021-11-01T00:00:00Zhttps://www.mdpi.com/2075-163X/11/11/1256https://doaj.org/toc/2075-163XThis 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.Robson A. DuarteAndré S. YamashitaMoisés T. da SilvaLuciano P. CotaThiago A. M. EuzébioMDPI AGarticledigital twincone crushermodel calibrationoptimizationcalibration based on industrial dataMineralogyQE351-399.2ENMinerals, Vol 11, Iss 1256, p 1256 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	digital twin cone crusher model calibration optimization calibration based on industrial data Mineralogy QE351-399.2
spellingShingle	digital twin cone crusher model calibration optimization calibration based on industrial data Mineralogy QE351-399.2 Robson A. Duarte André S. Yamashita Moisés T. da Silva Luciano P. Cota Thiago A. M. Euzébio Calibration and Validation of a Cone Crusher Model with Industrial Data
description	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.
format	article
author	Robson A. Duarte André S. Yamashita Moisés T. da Silva Luciano P. Cota Thiago A. M. Euzébio
author_facet	Robson A. Duarte André S. Yamashita Moisés T. da Silva Luciano P. Cota Thiago A. M. Euzébio
author_sort	Robson A. Duarte
title	Calibration and Validation of a Cone Crusher Model with Industrial Data
title_short	Calibration and Validation of a Cone Crusher Model with Industrial Data
title_full	Calibration and Validation of a Cone Crusher Model with Industrial Data
title_fullStr	Calibration and Validation of a Cone Crusher Model with Industrial Data
title_full_unstemmed	Calibration and Validation of a Cone Crusher Model with Industrial Data
title_sort	calibration and validation of a cone crusher model with industrial data
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/9eb1ccc676054b5d9b6cb7da42e7c310
work_keys_str_mv	AT robsonaduarte calibrationandvalidationofaconecrushermodelwithindustrialdata AT andresyamashita calibrationandvalidationofaconecrushermodelwithindustrialdata AT moisestdasilva calibrationandvalidationofaconecrushermodelwithindustrialdata AT lucianopcota calibrationandvalidationofaconecrushermodelwithindustrialdata AT thiagoameuzebio calibrationandvalidationofaconecrushermodelwithindustrialdata
_version_	1718411148355698688

Calibration and Validation of a Cone Crusher Model with Industrial Data

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