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...
Gespeichert in:
| Veröffentlicht in: | Minerals (Basel) 2023-01, Vol.13 (1), p.40 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 1 |
| container_start_page | 40 |
| container_title | Minerals (Basel) |
| container_volume | 13 |
| creator | Moncada, Manuel Betancourt, Fernando Rodríguez, Cristian G. Toledo, Patricio |
| 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. |
| doi_str_mv | 10.3390/min13010040 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2767264269</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2767264269</sourcerecordid><originalsourceid>FETCH-LOGICAL-c298t-99801912687e22f1f791bf807a52e06b73ef51019932c31813f5a4211f7eb6ce3</originalsourceid><addsrcrecordid>eNpNkE1LAzEQhoMoWGpP_oGAR1nNx26yOZZaP6BFQQVvSzZONGV3sybpwX9v2nroXGZ432dm4EXokpIbzhW57d1AOaGElOQETRiRVUEF_zg9ms_RLMYNyaUorys2QXZpLZiEvcUvOiRnOsCv33oE7IedontIEPBCd64NOrmsWh-wxncumpA9vOyghyHhtf-Ebm-u3eCGLzwfx86Z_U68QGdWdxFm_32K3u-Xb4vHYvX88LSYrwrDVJ0KpWpCFWWilsCYpVYq2tqaSF0xIKKVHGxFM6I4M5zWlNtKl4xmEFphgE_R1eHuGPzPFmJqNn4bhvyyYVJIJkomVKauD5QJPsYAthmD63X4bShpdlk2R1nyP1qmZX4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2767264269</pqid></control><display><type>article</type><title>Effect of Particle Shape on Parameter Calibration for a Discrete Element Model for Mining Applications</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>Moncada, Manuel ; Betancourt, Fernando ; Rodríguez, Cristian G. ; Toledo, Patricio</creator><creatorcontrib>Moncada, Manuel ; Betancourt, Fernando ; Rodríguez, Cristian G. ; Toledo, Patricio</creatorcontrib><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.</description><identifier>ISSN: 2075-163X</identifier><identifier>EISSN: 2075-163X</identifier><identifier>DOI: 10.3390/min13010040</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Angle of repose ; Calibration ; Coal ; Coefficient of friction ; Coefficients ; Design of experiments ; Discrete element method ; Friction ; Mass flow ; Mathematical models ; Measurement ; Mining ; Neural networks ; Optimization ; Parameters ; Particle shape ; Particle size ; Research methodology ; Restitution ; Shape ; Shape effects ; Simulation ; Software</subject><ispartof>Minerals (Basel), 2023-01, Vol.13 (1), p.40</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c298t-99801912687e22f1f791bf807a52e06b73ef51019932c31813f5a4211f7eb6ce3</citedby><cites>FETCH-LOGICAL-c298t-99801912687e22f1f791bf807a52e06b73ef51019932c31813f5a4211f7eb6ce3</cites><orcidid>0000-0001-5196-6727 ; 0000-0003-3154-9250</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Moncada, Manuel</creatorcontrib><creatorcontrib>Betancourt, Fernando</creatorcontrib><creatorcontrib>Rodríguez, Cristian G.</creatorcontrib><creatorcontrib>Toledo, Patricio</creatorcontrib><title>Effect of Particle Shape on Parameter Calibration for a Discrete Element Model for Mining Applications</title><title>Minerals (Basel)</title><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.</description><subject>Angle of repose</subject><subject>Calibration</subject><subject>Coal</subject><subject>Coefficient of friction</subject><subject>Coefficients</subject><subject>Design of experiments</subject><subject>Discrete element method</subject><subject>Friction</subject><subject>Mass flow</subject><subject>Mathematical models</subject><subject>Measurement</subject><subject>Mining</subject><subject>Neural networks</subject><subject>Optimization</subject><subject>Parameters</subject><subject>Particle shape</subject><subject>Particle size</subject><subject>Research methodology</subject><subject>Restitution</subject><subject>Shape</subject><subject>Shape effects</subject><subject>Simulation</subject><subject>Software</subject><issn>2075-163X</issn><issn>2075-163X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNkE1LAzEQhoMoWGpP_oGAR1nNx26yOZZaP6BFQQVvSzZONGV3sybpwX9v2nroXGZ432dm4EXokpIbzhW57d1AOaGElOQETRiRVUEF_zg9ms_RLMYNyaUorys2QXZpLZiEvcUvOiRnOsCv33oE7IedontIEPBCd64NOrmsWh-wxncumpA9vOyghyHhtf-Ebm-u3eCGLzwfx86Z_U68QGdWdxFm_32K3u-Xb4vHYvX88LSYrwrDVJ0KpWpCFWWilsCYpVYq2tqaSF0xIKKVHGxFM6I4M5zWlNtKl4xmEFphgE_R1eHuGPzPFmJqNn4bhvyyYVJIJkomVKauD5QJPsYAthmD63X4bShpdlk2R1nyP1qmZX4</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Moncada, Manuel</creator><creator>Betancourt, Fernando</creator><creator>Rodríguez, Cristian G.</creator><creator>Toledo, Patricio</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TN</scope><scope>7UA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>H96</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>K60</scope><scope>K6~</scope><scope>KB.</scope><scope>KR7</scope><scope>L.-</scope><scope>L.G</scope><scope>M0C</scope><scope>PCBAR</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0001-5196-6727</orcidid><orcidid>https://orcid.org/0000-0003-3154-9250</orcidid></search><sort><creationdate>20230101</creationdate><title>Effect of Particle Shape on Parameter Calibration for a Discrete Element Model for Mining Applications</title><author>Moncada, Manuel ; Betancourt, Fernando ; Rodríguez, Cristian G. ; Toledo, Patricio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c298t-99801912687e22f1f791bf807a52e06b73ef51019932c31813f5a4211f7eb6ce3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Angle of repose</topic><topic>Calibration</topic><topic>Coal</topic><topic>Coefficient of friction</topic><topic>Coefficients</topic><topic>Design of experiments</topic><topic>Discrete element method</topic><topic>Friction</topic><topic>Mass flow</topic><topic>Mathematical models</topic><topic>Measurement</topic><topic>Mining</topic><topic>Neural networks</topic><topic>Optimization</topic><topic>Parameters</topic><topic>Particle shape</topic><topic>Particle size</topic><topic>Research methodology</topic><topic>Restitution</topic><topic>Shape</topic><topic>Shape effects</topic><topic>Simulation</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moncada, Manuel</creatorcontrib><creatorcontrib>Betancourt, Fernando</creatorcontrib><creatorcontrib>Rodríguez, Cristian G.</creatorcontrib><creatorcontrib>Toledo, Patricio</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Materials Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ABI/INFORM Global</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Minerals (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Moncada, Manuel</au><au>Betancourt, Fernando</au><au>Rodríguez, Cristian G.</au><au>Toledo, Patricio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effect of Particle Shape on Parameter Calibration for a Discrete Element Model for Mining Applications</atitle><jtitle>Minerals (Basel)</jtitle><date>2023-01-01</date><risdate>2023</risdate><volume>13</volume><issue>1</issue><spage>40</spage><pages>40-</pages><issn>2075-163X</issn><eissn>2075-163X</eissn><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.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/min13010040</doi><orcidid>https://orcid.org/0000-0001-5196-6727</orcidid><orcidid>https://orcid.org/0000-0003-3154-9250</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2075-163X |
| ispartof | Minerals (Basel), 2023-01, Vol.13 (1), p.40 |
| issn | 2075-163X 2075-163X |
| language | eng |
| recordid | cdi_proquest_journals_2767264269 |
| source | MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Angle of repose Calibration Coal Coefficient of friction Coefficients Design of experiments Discrete element method Friction Mass flow Mathematical models Measurement Mining Neural networks Optimization Parameters Particle shape Particle size Research methodology Restitution Shape Shape effects Simulation Software |
| title | Effect of Particle Shape on Parameter Calibration for a Discrete Element Model for Mining Applications |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T05%3A37%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Effect%20of%20Particle%20Shape%20on%20Parameter%20Calibration%20for%20a%20Discrete%20Element%20Model%20for%20Mining%20Applications&rft.jtitle=Minerals%20(Basel)&rft.au=Moncada,%20Manuel&rft.date=2023-01-01&rft.volume=13&rft.issue=1&rft.spage=40&rft.pages=40-&rft.issn=2075-163X&rft.eissn=2075-163X&rft_id=info:doi/10.3390/min13010040&rft_dat=%3Cproquest_cross%3E2767264269%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2767264269&rft_id=info:pmid/&rfr_iscdi=true |