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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Format: | Article |
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MDPI AG
2022-12-01
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Series: | Minerals |
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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. |
first_indexed | 2024-03-09T11:38:36Z |
format | Article |
id | doaj.art-d144216ec3d04acdb12561a8da0e7833 |
institution | Directory Open Access Journal |
issn | 2075-163X |
language | English |
last_indexed | 2024-03-09T11:38:36Z |
publishDate | 2022-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Minerals |
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 |
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