Effect of Particle Shape on Parameter Calibration for a Discrete Element Model for Mining Applications

The discrete element method (DEM) has been widely employed to model processes in different industries, such as mining, agriculture, pharmaceuticals, and food. One of the main lines of research, and in which different authors propose several approaches, is the calibration of parameters. Bulk calibrat...

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Main Authors: Manuel Moncada, Fernando Betancourt, Cristian G. Rodríguez, Patricio Toledo
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Minerals
Subjects:
Online Access:https://www.mdpi.com/2075-163X/13/1/40
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author Manuel Moncada
Fernando Betancourt
Cristian G. Rodríguez
Patricio Toledo
author_facet Manuel Moncada
Fernando Betancourt
Cristian G. Rodríguez
Patricio Toledo
author_sort Manuel Moncada
collection DOAJ
description The discrete element method (DEM) has been widely employed to model processes in different industries, such as mining, agriculture, pharmaceuticals, and food. One of the main lines of research, and in which different authors propose several approaches, is the calibration of parameters. Bulk calibration (BCA) is a common approach used that does not necessarily represent the individual behavior of each particle. On the other hand, direct measurement (DMA) is another approach employed in some cases. This work presents a comparison between calibration of DEM model parameters with non-cohesive spherical and polyhedral particles using a combination of direct measurement and bulk calibration. BCA is employed to calibrate friction parameters and DMA to characterize shape of the particles and coefficient of restitution of the contact between particles. Experimental data from Draw Down Tests are used to calibrate the friction parameters. Numerical optimization of the parameters is conducted by altering the coefficients of friction regarding the objective variables of mass flow, final mass, shear angle, and angle of repose. Quartz, granite, and coal are calibrated, obtaining good agreement with the experimental results. The influence of particle shape is tested, proving that more complex particles obtain better results for the analyzed case.
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spelling doaj.art-d144216ec3d04acdb12561a8da0e78332023-11-30T23:38:58ZengMDPI AGMinerals2075-163X2022-12-011314010.3390/min13010040Effect of Particle Shape on Parameter Calibration for a Discrete Element Model for Mining ApplicationsManuel Moncada0Fernando Betancourt1Cristian G. Rodríguez2Patricio Toledo3Department of Mechanical Engineering, University of Concepción, Edmundo Larenas 219, Concepción 4070409, ChileDepartment of Metallurgical Engineering, University of Concepción, Edmundo Larenas 285, Concepción 4070371, ChileDepartment of Mechanical Engineering, University of Concepción, Edmundo Larenas 219, Concepción 4070409, ChileDepartment of Mechanical Engineering, University of Concepción, Edmundo Larenas 219, Concepción 4070409, ChileThe discrete element method (DEM) has been widely employed to model processes in different industries, such as mining, agriculture, pharmaceuticals, and food. One of the main lines of research, and in which different authors propose several approaches, is the calibration of parameters. Bulk calibration (BCA) is a common approach used that does not necessarily represent the individual behavior of each particle. On the other hand, direct measurement (DMA) is another approach employed in some cases. This work presents a comparison between calibration of DEM model parameters with non-cohesive spherical and polyhedral particles using a combination of direct measurement and bulk calibration. BCA is employed to calibrate friction parameters and DMA to characterize shape of the particles and coefficient of restitution of the contact between particles. Experimental data from Draw Down Tests are used to calibrate the friction parameters. Numerical optimization of the parameters is conducted by altering the coefficients of friction regarding the objective variables of mass flow, final mass, shear angle, and angle of repose. Quartz, granite, and coal are calibrated, obtaining good agreement with the experimental results. The influence of particle shape is tested, proving that more complex particles obtain better results for the analyzed case.https://www.mdpi.com/2075-163X/13/1/40parameter calibrationdiscrete element methodpolyhedral particlesmineral processing
spellingShingle Manuel Moncada
Fernando Betancourt
Cristian G. Rodríguez
Patricio Toledo
Effect of Particle Shape on Parameter Calibration for a Discrete Element Model for Mining Applications
Minerals
parameter calibration
discrete element method
polyhedral particles
mineral processing
title Effect of Particle Shape on Parameter Calibration for a Discrete Element Model for Mining Applications
title_full Effect of Particle Shape on Parameter Calibration for a Discrete Element Model for Mining Applications
title_fullStr Effect of Particle Shape on Parameter Calibration for a Discrete Element Model for Mining Applications
title_full_unstemmed Effect of Particle Shape on Parameter Calibration for a Discrete Element Model for Mining Applications
title_short Effect of Particle Shape on Parameter Calibration for a Discrete Element Model for Mining Applications
title_sort effect of particle shape on parameter calibration for a discrete element model for mining applications
topic parameter calibration
discrete element method
polyhedral particles
mineral processing
url https://www.mdpi.com/2075-163X/13/1/40
work_keys_str_mv AT manuelmoncada effectofparticleshapeonparametercalibrationforadiscreteelementmodelforminingapplications
AT fernandobetancourt effectofparticleshapeonparametercalibrationforadiscreteelementmodelforminingapplications
AT cristiangrodriguez effectofparticleshapeonparametercalibrationforadiscreteelementmodelforminingapplications
AT patriciotoledo effectofparticleshapeonparametercalibrationforadiscreteelementmodelforminingapplications