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\n  \n 2025\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n Influence of Particle Shape and Size on Gyratory Crusher Simulations Using the Discrete Element Method.\n \n \n \n\n\n \n Moncada, M.; Rojas, C.; Toledo, P.; Rodríguez, C., G.; and Betancourt, F.\n\n\n \n\n\n\n Minerals, 15(3): 232. 2 2025.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{\n title = {Influence of Particle Shape and Size on Gyratory Crusher Simulations Using the Discrete Element Method},\n type = {article},\n year = {2025},\n pages = {232},\n volume = {15},\n month = {2},\n day = {26},\n id = {75440cac-a40e-3c1c-af93-18e3d06c62bc},\n created = {2025-02-26T14:50:58.970Z},\n file_attached = {false},\n profile_id = {3ce6d30a-4f36-3006-98de-efe7539a843c},\n last_modified = {2025-02-26T14:52:26.675Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {Gyratory crushers are fundamental machines in aggregate production and mineral processing. Discrete Element Method (DEM) simulations offer detailed insights into the performance of these machines and serve as a powerful tool for their design and analysis. However, these simulations are computationally intensive due to the large number of particles involved and the need to account for particle breakage. This study aims to investigate the effect of particle shape and size distribution on the performance of a DEM model of a gyratory crusher. The selected study case corresponds to a primary gyratory crusher operating in a copper processing industry. As particle shapes, spheres and polyhedrons are used with a particle replacement scheme. This study utilizes two different size distributions, with variations also applied to the minimum particle size. The results are analyzed in terms of the impact of these factors on the power draw, mass flow, and product size distribution for each of the combinations explained. The findings demonstrate that particle shape primarily influences the product size distribution, whereas variations in particle size distribution have a pronounced effect on power draw, mass flow rate, and product size distribution. Based on the results, recommendations are provided regarding the selection of the minimum particle size. It is concluded that the minimum particle size should not exceed a third of the closed-side setting to ensure accurate and reliable simulation outcomes.},\n bibtype = {article},\n author = {Moncada, Manuel and Rojas, Christian and Toledo, Patricio and Rodríguez, Cristian G. and Betancourt, Fernando},\n doi = {10.3390/min15030232},\n journal = {Minerals},\n number = {3}\n}
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\n Gyratory crushers are fundamental machines in aggregate production and mineral processing. Discrete Element Method (DEM) simulations offer detailed insights into the performance of these machines and serve as a powerful tool for their design and analysis. However, these simulations are computationally intensive due to the large number of particles involved and the need to account for particle breakage. This study aims to investigate the effect of particle shape and size distribution on the performance of a DEM model of a gyratory crusher. The selected study case corresponds to a primary gyratory crusher operating in a copper processing industry. As particle shapes, spheres and polyhedrons are used with a particle replacement scheme. This study utilizes two different size distributions, with variations also applied to the minimum particle size. The results are analyzed in terms of the impact of these factors on the power draw, mass flow, and product size distribution for each of the combinations explained. The findings demonstrate that particle shape primarily influences the product size distribution, whereas variations in particle size distribution have a pronounced effect on power draw, mass flow rate, and product size distribution. Based on the results, recommendations are provided regarding the selection of the minimum particle size. It is concluded that the minimum particle size should not exceed a third of the closed-side setting to ensure accurate and reliable simulation outcomes.\n
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\n \n\n \n \n \n \n \n A review of the application of the discrete element method in comminution circuits.\n \n \n \n\n\n \n Toledo M., P.; Moncada M., M.; Ruiz S., C.; Betancourt C., F.; Rodríguez, C., G.; and Vicuña, C.\n\n\n \n\n\n\n Powder Technology, 459: 121027. 6 2025.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {A review of the application of the discrete element method in comminution circuits},\n type = {article},\n year = {2025},\n pages = {121027},\n volume = {459},\n month = {6},\n id = {c1f39eeb-85c0-352e-a7e1-0d3a320ce3fd},\n created = {2025-04-18T21:03:45.457Z},\n file_attached = {false},\n profile_id = {3ce6d30a-4f36-3006-98de-efe7539a843c},\n last_modified = {2025-04-18T21:03:56.790Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Toledo M., Patricio and Moncada M., Manuel and Ruiz S., Cristóbal and Betancourt C., Fernando and Rodríguez, Cristian G. and Vicuña, Cristián},\n doi = {10.1016/j.powtec.2025.121027},\n journal = {Powder Technology}\n}
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\n \n\n \n \n \n \n \n Study of Wet Agglomeration in Rotating Drums by the Discrete Element Method: Effect of Particle-Size Distribution on Agglomerate Formation.\n \n \n \n\n\n \n Moncada, M.; Henríquez, C.; Toledo, P.; Rodríguez, C., G.; and Betancourt, F.\n\n\n \n\n\n\n Minerals, 15(10): 1033. 9 2025.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{\n title = {Study of Wet Agglomeration in Rotating Drums by the Discrete Element Method: Effect of Particle-Size Distribution on Agglomerate Formation},\n type = {article},\n year = {2025},\n pages = {1033},\n volume = {15},\n month = {9},\n day = {29},\n id = {08258e14-b9be-3d09-b631-940212f479ab},\n created = {2025-09-29T14:50:10.398Z},\n file_attached = {false},\n profile_id = {3ce6d30a-4f36-3006-98de-efe7539a843c},\n last_modified = {2025-09-29T14:50:34.223Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {Wet agglomeration is essential in heap leaching of minerals, as it improves permeability by forming agglomerates through capillary and viscous forces. The Discrete Element Method (DEM) has been used to model this phenomenon, enabling the detailed tracking of interactions between individual particles. This study employs DEM to analyze the effect of particle-size distribution (PSD) on agglomerate formation inside a rotating agglomeration drum. The DEM model was validated using geometry and parameters reported in the literature, which are based on experimental studies of agglomeration in rotating drums. Both wide and bimodal PSD cases were simulated. The results demonstrate that DEM simulations of drums with exclusively fine particles are prone to producing poorly defined macrostructures. In contrast, the presence of coarse particles promotes the formation of stable agglomerates with fine particles attached to them. Additionally, decreasing the maximum particle size increases the number of agglomerates and improves the homogeneity of the final PSD. These findings improve our understanding of wet agglomeration dynamics and provide practical criteria for optimizing feed design in mineral-processing applications.},\n bibtype = {article},\n author = {Moncada, Manuel and Henríquez, Carlos and Toledo, Patricio and Rodríguez, Cristian G. and Betancourt, Fernando},\n doi = {10.3390/min15101033},\n journal = {Minerals},\n number = {10}\n}
\n
\n\n\n
\n Wet agglomeration is essential in heap leaching of minerals, as it improves permeability by forming agglomerates through capillary and viscous forces. The Discrete Element Method (DEM) has been used to model this phenomenon, enabling the detailed tracking of interactions between individual particles. This study employs DEM to analyze the effect of particle-size distribution (PSD) on agglomerate formation inside a rotating agglomeration drum. The DEM model was validated using geometry and parameters reported in the literature, which are based on experimental studies of agglomeration in rotating drums. Both wide and bimodal PSD cases were simulated. The results demonstrate that DEM simulations of drums with exclusively fine particles are prone to producing poorly defined macrostructures. In contrast, the presence of coarse particles promotes the formation of stable agglomerates with fine particles attached to them. Additionally, decreasing the maximum particle size increases the number of agglomerates and improves the homogeneity of the final PSD. These findings improve our understanding of wet agglomeration dynamics and provide practical criteria for optimizing feed design in mineral-processing applications.\n
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\n  \n 2024\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Predictive modeling of crushing power in cone crushers with the discrete element method.\n \n \n \n \n\n\n \n Moncada M., M.; Toledo M., P.; Betancourt C., F.; and Rodríguez, C., G.\n\n\n \n\n\n\n Powder Technology, 447: 120178. 11 2024.\n \n\n\n\n
\n\n\n\n \n \n \"PredictiveWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {Predictive modeling of crushing power in cone crushers with the discrete element method},\n type = {article},\n year = {2024},\n pages = {120178},\n volume = {447},\n websites = {https://linkinghub.elsevier.com/retrieve/pii/S0032591024008222},\n month = {11},\n id = {6006142b-15b8-397a-aa76-737425d00cd8},\n created = {2024-08-14T15:21:37.008Z},\n file_attached = {false},\n profile_id = {3ce6d30a-4f36-3006-98de-efe7539a843c},\n last_modified = {2024-08-29T00:00:44.182Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Moncada M., Manuel and Toledo M., Patricio and Betancourt C., Fernando and Rodríguez, Cristian G.},\n doi = {10.1016/j.powtec.2024.120178},\n journal = {Powder Technology}\n}
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\n  \n 2022\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Effect of Particle Shape on Parameter Calibration for a Discrete Element Model for Mining Applications.\n \n \n \n \n\n\n \n Moncada, M.; Betancourt, F.; Rodríguez, C., G.; and Toledo, P.\n\n\n \n\n\n\n Minerals, 13(1): 40. 12 2022.\n \n\n\n\n
\n\n\n\n \n \n \"EffectPaper\n  \n \n \n \"EffectWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {Effect of Particle Shape on Parameter Calibration for a Discrete Element Model for Mining Applications},\n type = {article},\n year = {2022},\n pages = {40},\n volume = {13},\n websites = {https://www.mdpi.com/2075-163X/13/1/40},\n month = {12},\n day = {27},\n id = {fe6c996a-75af-322d-8e1f-162e546c8823},\n created = {2022-12-27T21:08:42.110Z},\n file_attached = {true},\n profile_id = {3ce6d30a-4f36-3006-98de-efe7539a843c},\n last_modified = {2022-12-27T21:12:17.401Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Moncada2022},\n private_publication = {false},\n abstract = {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.},\n bibtype = {article},\n author = {Moncada, Manuel and Betancourt, Fernando and Rodríguez, Cristian G and Toledo, Patricio},\n doi = {10.3390/min13010040},\n journal = {Minerals},\n number = {1}\n}
\n
\n\n\n
\n 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.\n
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\n \n\n \n \n \n \n \n \n Segregation Modeling in Stockpile Using Discrete Element Method.\n \n \n \n \n\n\n \n Gómez, R.; Skrzypkowski, K.; Moncada, M.; Castro, R.; and Lazo, R.\n\n\n \n\n\n\n Applied Sciences, 12(23): 12449. 12 2022.\n \n\n\n\n
\n\n\n\n \n \n \"SegregationPaper\n  \n \n \n \"SegregationWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{\n title = {Segregation Modeling in Stockpile Using Discrete Element Method},\n type = {article},\n year = {2022},\n keywords = {discrete element method,granular material,gravity flow,mining,stockpile},\n pages = {12449},\n volume = {12},\n websites = {https://www.mdpi.com/2076-3417/12/23/12449},\n month = {12},\n day = {5},\n id = {ac5de77d-e832-3e42-a844-def0d6995b7a},\n created = {2022-12-27T21:12:15.718Z},\n file_attached = {true},\n profile_id = {3ce6d30a-4f36-3006-98de-efe7539a843c},\n last_modified = {2022-12-27T21:13:22.107Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Gomez2022},\n private_publication = {false},\n abstract = {During stockpile feeding, the small particles migrate to the center of the stock while large particles end up around the edges. This phenomenon influences how the mineral is fragmented in the subsequent stages of size reduction. In this study, the primary variables involved in this phenomenon were studied using the discrete element to simulate particle segregation. Results show that the ratio between coarse and fine particles strongly affects particle segregation. The segregation phenomenon was not observed when there were fewer coarse particles in the mix. The feeding height was also found to influence segregation and to affect the angles of repose and dumping. Finally, the rounded polyhedral shape of particles generated the simulation performance most similar to actual particle segregation based on a case study analyzed.},\n bibtype = {article},\n author = {Gómez, René and Skrzypkowski, Krzysztof and Moncada, Manuel and Castro, Raúl and Lazo, Rodrigo},\n doi = {10.3390/app122312449},\n journal = {Applied Sciences},\n number = {23}\n}
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\n During stockpile feeding, the small particles migrate to the center of the stock while large particles end up around the edges. This phenomenon influences how the mineral is fragmented in the subsequent stages of size reduction. In this study, the primary variables involved in this phenomenon were studied using the discrete element to simulate particle segregation. Results show that the ratio between coarse and fine particles strongly affects particle segregation. The segregation phenomenon was not observed when there were fewer coarse particles in the mix. The feeding height was also found to influence segregation and to affect the angles of repose and dumping. Finally, the rounded polyhedral shape of particles generated the simulation performance most similar to actual particle segregation based on a case study analyzed.\n
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\n  \n 2021\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Torque Analysis of a Gyratory Crusher with the Discrete Element Method.\n \n \n \n \n\n\n \n Moncada, M.; Toledo, P.; Betancourt, F.; and Rodríguez, C., G.\n\n\n \n\n\n\n Minerals, 11(8): 878. 8 2021.\n \n\n\n\n
\n\n\n\n \n \n \"TorquePaper\n  \n \n \n \"TorqueWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{\n title = {Torque Analysis of a Gyratory Crusher with the Discrete Element Method},\n type = {article},\n year = {2021},\n keywords = {Comminution,Discrete element method,Gyratory crusher,Particle breakage,Torque},\n pages = {878},\n volume = {11},\n websites = {https://www.mdpi.com/2075-163X/11/8/878},\n month = {8},\n day = {13},\n id = {11a2ce9e-c83f-328e-8b78-f4c4e79f1acb},\n created = {2021-09-01T07:04:19.428Z},\n file_attached = {true},\n profile_id = {3ce6d30a-4f36-3006-98de-efe7539a843c},\n last_modified = {2022-03-28T22:04:32.619Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Moncada2021},\n source_type = {article},\n folder_uuids = {677777f2-1c9e-4bc1-bad8-6d4a6a2e09cd},\n private_publication = {false},\n abstract = {Comminution by gyratory crusher is the first stage in the size reduction operation in mineral processing. In the copper industry, these machines are widely utilized, and their reliability has become a relevant aspect. To optimize the design and to improve the availability of gyratory crushers, it is necessary to calculate their power and torque accurately. The discrete element method (DEM) has been commonly used in several mining applications and is a powerful tool to predict the necessary power required in the operation of mining machines. In this paper, a DEM model was applied to a copper mining gyratory crusher to perform a comprehensive analysis of the loads in the mantle, the crushing torque, and crushing power. A novel polar representation of the radial forces is proposed that may help designers, engineers, and operators to recognize the distribution of force loads on the mantle in an easier and intuitive way. Simulations with different operational conditions are presented and validated through a comparison with nominal data. A calculation procedure for the crushing power of crushers is presented, and recommendations for the selection of the minimum resolved particle size are given.},\n bibtype = {article},\n author = {Moncada, Manuel and Toledo, Patricio and Betancourt, Fernando and Rodríguez, Cristian G.},\n doi = {10.3390/min11080878},\n journal = {Minerals},\n number = {8}\n}
\n
\n\n\n
\n Comminution by gyratory crusher is the first stage in the size reduction operation in mineral processing. In the copper industry, these machines are widely utilized, and their reliability has become a relevant aspect. To optimize the design and to improve the availability of gyratory crushers, it is necessary to calculate their power and torque accurately. The discrete element method (DEM) has been commonly used in several mining applications and is a powerful tool to predict the necessary power required in the operation of mining machines. In this paper, a DEM model was applied to a copper mining gyratory crusher to perform a comprehensive analysis of the loads in the mantle, the crushing torque, and crushing power. A novel polar representation of the radial forces is proposed that may help designers, engineers, and operators to recognize the distribution of force loads on the mantle in an easier and intuitive way. Simulations with different operational conditions are presented and validated through a comparison with nominal data. A calculation procedure for the crushing power of crushers is presented, and recommendations for the selection of the minimum resolved particle size are given.\n
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\n \n\n \n \n \n \n \n \n Comparison of normalized and non-normalized block caving comminution models.\n \n \n \n \n\n\n \n Gómez, R.; Castro, R.; Betancourt, F.; and Moncada, M.\n\n\n \n\n\n\n Journal of the Southern African Institute of Mining and Metallurgy, 121(11): 1-8. 11 2021.\n \n\n\n\n
\n\n\n\n \n \n \"ComparisonPaper\n  \n \n \n \"ComparisonWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {Comparison of normalized and non-normalized block caving comminution models},\n type = {article},\n year = {2021},\n pages = {1-8},\n volume = {121},\n websites = {http://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S2225-62532021001100006&lng=en&nrm=iso},\n month = {11},\n day = {30},\n id = {eead9dfc-658d-3e81-b0a4-032b70d72ddf},\n created = {2021-11-19T19:38:04.101Z},\n file_attached = {true},\n profile_id = {3ce6d30a-4f36-3006-98de-efe7539a843c},\n last_modified = {2023-11-14T14:14:22.944Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Gomez2021},\n private_publication = {false},\n abstract = {<p>In block cave mining, rock fragmentation is a key parameter that influences the production level design and mine planning. Fragmentation occurs mainly by natural breakage during the caving process and in the draw column. The breakage that occurs within the column is known as secondary fragmentation. Secondary fragmentation has been successfully described using the block caving comminution model, which replicates the fragmentation mechanics between particles under drawn and vertical loads in a draw column. This model is based on a kinetic and population balance approach, in which non-normalized and normalized assumptions can be used depending on material and comminution system behaviour. In this paper, the non-normalized and normalized approaches are applied and compared to laboratory data to determine which assumption should be used for secondary breakage in block caving. Approaches are compared graphically, with the mean square error and the Fisher test with a false-rejection probability of 0.05. Based on a statistical analysis, the results show that the normalized model can be applied to all the rock types tested.</p>},\n bibtype = {article},\n author = {Gómez, R. and Castro, R. and Betancourt, F. and Moncada, M.},\n doi = {10.17159/2411-9717/1150/2021},\n journal = {Journal of the Southern African Institute of Mining and Metallurgy},\n number = {11}\n}
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In block cave mining, rock fragmentation is a key parameter that influences the production level design and mine planning. Fragmentation occurs mainly by natural breakage during the caving process and in the draw column. The breakage that occurs within the column is known as secondary fragmentation. Secondary fragmentation has been successfully described using the block caving comminution model, which replicates the fragmentation mechanics between particles under drawn and vertical loads in a draw column. This model is based on a kinetic and population balance approach, in which non-normalized and normalized assumptions can be used depending on material and comminution system behaviour. In this paper, the non-normalized and normalized approaches are applied and compared to laboratory data to determine which assumption should be used for secondary breakage in block caving. Approaches are compared graphically, with the mean square error and the Fisher test with a false-rejection probability of 0.05. Based on a statistical analysis, the results show that the normalized model can be applied to all the rock types tested.

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\n  \n 2018\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Dynamic Modeling of a Vibrating Screen Considering the Ore Inertia and Force of the Ore over the Screen Calculated with Discrete Element Method.\n \n \n \n \n\n\n \n Moncada M., M.; and Rodríguez, C., G.\n\n\n \n\n\n\n Shock and Vibration, 2018: 1-13. 12 2018.\n \n\n\n\n
\n\n\n\n \n \n \"DynamicPaper\n  \n \n \n \"DynamicWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{\n title = {Dynamic Modeling of a Vibrating Screen Considering the Ore Inertia and Force of the Ore over the Screen Calculated with Discrete Element Method},\n type = {article},\n year = {2018},\n pages = {1-13},\n volume = {2018},\n websites = {https://www.hindawi.com/journals/sv/2018/1714738/},\n month = {12},\n day = {4},\n id = {ca7454d1-ab2a-3e12-a297-23ef22e9fc6a},\n created = {2018-12-05T01:31:23.179Z},\n file_attached = {true},\n profile_id = {3ce6d30a-4f36-3006-98de-efe7539a843c},\n last_modified = {2019-04-01T18:43:23.837Z},\n read = {true},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Moncada2018},\n folder_uuids = {a8eddf97-3f12-41d8-900d-850b1222c6e3},\n private_publication = {false},\n abstract = {Vibrating screens are critical machines used for size classification in mineral processing. Their proper operation, including accurate vibration movement and slope angle, can provide the benefits of energy savings and cost reductions in the screening process and the whole mining process. Dynamic models of the vibrating screen movement available in the literature do not simulate ore motion or its interaction with screen decks. The discrete element method (DEM) allows for the calculation of the dynamic of the ore. In this paper, two 2D three-degrees-of-freedom dynamic models for a vibrating screen are tested, using linear and nonlinear approaches for angular displacement. These models consider the inertia of the ore and the ore force calculated with DEM. A double-deck linear motion vibrating screen is simulated using the DEM software LIGGGTHS. DEM is used to obtain the ore parameters in the steady state and the force on the screen decks. Two cases are compared: Case 1 considers the ore as moving together with the vibrating screen, and Case 2 considers the ore force on the screen deck as calculated by DEM. Simulations are carried out with data for an industrial vibrating screen used in copper mining. The force over the screen is significantly different between the cases. Case 1 produces a force that is unrealistic because the ore cannot produce a high-amplitude adhesion force over the screen decks. In Case 2, no adhesion force acts between the ore and deck. It is concluded that the linear dynamic model used in Case 2 is adequate to evaluate the influence of the ore on the movement of the vibrating screen. The linear dynamic model considering the force as in Case 1 can be used to simulate a vibrating screen, as long as a correct calibration parameter is included to obtain an accurate motion amplitude.},\n bibtype = {article},\n author = {Moncada M., Manuel and Rodríguez, Cristian G.},\n doi = {10.1155/2018/1714738},\n journal = {Shock and Vibration}\n}
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\n Vibrating screens are critical machines used for size classification in mineral processing. Their proper operation, including accurate vibration movement and slope angle, can provide the benefits of energy savings and cost reductions in the screening process and the whole mining process. Dynamic models of the vibrating screen movement available in the literature do not simulate ore motion or its interaction with screen decks. The discrete element method (DEM) allows for the calculation of the dynamic of the ore. In this paper, two 2D three-degrees-of-freedom dynamic models for a vibrating screen are tested, using linear and nonlinear approaches for angular displacement. These models consider the inertia of the ore and the ore force calculated with DEM. A double-deck linear motion vibrating screen is simulated using the DEM software LIGGGTHS. DEM is used to obtain the ore parameters in the steady state and the force on the screen decks. Two cases are compared: Case 1 considers the ore as moving together with the vibrating screen, and Case 2 considers the ore force on the screen deck as calculated by DEM. Simulations are carried out with data for an industrial vibrating screen used in copper mining. The force over the screen is significantly different between the cases. Case 1 produces a force that is unrealistic because the ore cannot produce a high-amplitude adhesion force over the screen decks. In Case 2, no adhesion force acts between the ore and deck. It is concluded that the linear dynamic model used in Case 2 is adequate to evaluate the influence of the ore on the movement of the vibrating screen. The linear dynamic model considering the force as in Case 1 can be used to simulate a vibrating screen, as long as a correct calibration parameter is included to obtain an accurate motion amplitude.\n
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\n  \n 2017\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Modelación dinámica no lineal de harnero vibratorio considerando inercia del mineral y fuerza del mineral sobre el harnero calculada con elementos discretos.\n \n \n \n \n\n\n \n Moncada, M.\n\n\n \n\n\n\n 2017.\n \n\n\n\n
\n\n\n\n \n \n \"ModelaciónWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{\n title = {Modelación dinámica no lineal de harnero vibratorio considerando inercia del mineral y fuerza del mineral sobre el harnero calculada con elementos discretos},\n type = {misc},\n year = {2017},\n websites = {http://repositorio.udec.cl/handle/11594/2656},\n institution = {Universidad de Concepción},\n department = {Departamento de Ingeniería Mecánica},\n id = {ee1aba9f-b2ce-3956-91fe-366da1beab1e},\n created = {2018-06-27T20:58:14.675Z},\n file_attached = {false},\n profile_id = {3ce6d30a-4f36-3006-98de-efe7539a843c},\n last_modified = {2018-12-04T23:33:27.771Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {true},\n citation_key = {Moncada2017},\n user_context = {Tesis de Magíster},\n private_publication = {false},\n bibtype = {misc},\n author = {Moncada, Manuel}\n}
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\n  \n 2016\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Nonlinear Model of Vibrating Screen to Determine Permissible Spring Deterioration for Proper Separation.\n \n \n \n \n\n\n \n Rodríguez, C., G.; Moncada M., M.; Dufeu, E.; and Razeto, M.\n\n\n \n\n\n\n Shock and Vibration, 2016: 1-7. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"NonlinearPaper\n  \n \n \n \"NonlinearWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@article{\n title = {Nonlinear Model of Vibrating Screen to Determine Permissible Spring Deterioration for Proper Separation},\n type = {article},\n year = {2016},\n keywords = {vib},\n pages = {1-7},\n volume = {2016},\n websites = {http://www.hindawi.com/journals/sv/2016/4028583/},\n id = {5c0a70f4-2e3a-339e-8d7f-14a984995c1e},\n created = {2016-08-16T19:13:38.000Z},\n file_attached = {true},\n profile_id = {3ce6d30a-4f36-3006-98de-efe7539a843c},\n last_modified = {2020-09-04T07:09:27.638Z},\n read = {true},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Rodriguez2016},\n folder_uuids = {f5735446-5715-44e5-996a-777e1d7f1110},\n private_publication = {false},\n abstract = {Springs of vibrating screens are prone to fatigue induced failure because they operate in a heavy duty environment, with abrasive dust and under heavy cyclic loads. If a spring breaks, the stiffness at supporting positions changes, and therefore the amplitude of motion and the static and dynamic angular inclination of deck motion also change. This change in the amplitude and in the inclination of motion produces a reduction in separation efficiency. Available models are useful to determine motion under nominal operating conditions when angular displacement is not significant. However in practice there is significant angular motion during startup, during shutdown, or under off-design operating conditions. In this article, a two-dimensional three-degree-of-freedom nonlinear model that considers significant angular motion and damping is developed. The proposed model allows the prediction of vibrating screen behavior when there is a reduction in spring stiffness. Making use of this model for an actual vibrating screen in operation in industry has permitted determining a limit for spring’s failure before separation efficiency is affected. This information is of practical value for operation and maintenance staff helping to determine whether or not it is necessary to change springs, and hence optimizing stoppage time.},\n bibtype = {article},\n author = {Rodríguez, Cristian G. and Moncada M., Manuel and Dufeu, Emilio and Razeto, Mario},\n doi = {10.1155/2016/4028583},\n journal = {Shock and Vibration}\n}
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\n Springs of vibrating screens are prone to fatigue induced failure because they operate in a heavy duty environment, with abrasive dust and under heavy cyclic loads. If a spring breaks, the stiffness at supporting positions changes, and therefore the amplitude of motion and the static and dynamic angular inclination of deck motion also change. This change in the amplitude and in the inclination of motion produces a reduction in separation efficiency. Available models are useful to determine motion under nominal operating conditions when angular displacement is not significant. However in practice there is significant angular motion during startup, during shutdown, or under off-design operating conditions. In this article, a two-dimensional three-degree-of-freedom nonlinear model that considers significant angular motion and damping is developed. The proposed model allows the prediction of vibrating screen behavior when there is a reduction in spring stiffness. Making use of this model for an actual vibrating screen in operation in industry has permitted determining a limit for spring’s failure before separation efficiency is affected. This information is of practical value for operation and maintenance staff helping to determine whether or not it is necessary to change springs, and hence optimizing stoppage time.\n
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\n \n\n \n \n \n \n \n \n Respuesta de un harnero vibratorio ante la pérdida de rigidez en los apoyos.\n \n \n \n \n\n\n \n Moncada, M.; and Rodríguez, C., G.\n\n\n \n\n\n\n Ingeniare. Revista chilena de ingeniería, 24(Especial): 25-31. 8 2016.\n \n\n\n\n
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@article{\n title = {Respuesta de un harnero vibratorio ante la pérdida de rigidez en los apoyos},\n type = {article},\n year = {2016},\n keywords = {harnero vibratorio,modelo dinámico,no lineal,pérdida de rigidez},\n pages = {25-31},\n volume = {24},\n websites = {http://www.ingeniare.cl/index.php?option=com_ingeniare&view=d&doc=89/art04.pdf&aid=514&vid=89&lang=es,http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052016000500004&lng=en&nrm=iso&tlng=en},\n month = {8},\n id = {f4edb125-651c-398d-876c-93bcb0dffd0d},\n created = {2017-11-13T04:44:38.517Z},\n file_attached = {true},\n profile_id = {3ce6d30a-4f36-3006-98de-efe7539a843c},\n last_modified = {2020-09-04T07:09:27.530Z},\n read = {true},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Moncada2016},\n folder_uuids = {f5735446-5715-44e5-996a-777e1d7f1110},\n private_publication = {false},\n abstract = {Vibrating screens are critical machines in the mining industry. The screen movement is mainly defined by its inclination and vibration amplitude. A proper movement allows correct operation of the screen. Available models cannot simulate motion with high angular displacement, as a startup, shutdown and under loss of stiffness in supporting positions, because these models linearize angular displacement. In this article a 2D 3DOF nonlinear model is proposed, presenting its development, solution and numerical simulations. Simulations deliver how much the direction of each orbit and magnitude of the natural frequency change, with respect to the supports's stiffness. This makes it possible to evaluate the state of the springs to keep the design conditions to ensure high efficiency and detect changes required of them to increase the mean operation time for replacement of the springs.},\n bibtype = {article},\n author = {Moncada, Manuel and Rodríguez, Cristián G.},\n doi = {10.4067/S0718-33052016000500004},\n journal = {Ingeniare. Revista chilena de ingeniería},\n number = {Especial}\n}
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\n Vibrating screens are critical machines in the mining industry. The screen movement is mainly defined by its inclination and vibration amplitude. A proper movement allows correct operation of the screen. Available models cannot simulate motion with high angular displacement, as a startup, shutdown and under loss of stiffness in supporting positions, because these models linearize angular displacement. In this article a 2D 3DOF nonlinear model is proposed, presenting its development, solution and numerical simulations. Simulations deliver how much the direction of each orbit and magnitude of the natural frequency change, with respect to the supports's stiffness. This makes it possible to evaluate the state of the springs to keep the design conditions to ensure high efficiency and detect changes required of them to increase the mean operation time for replacement of the springs.\n
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