A discrete element method model of corn stalk and its mechanical characteristic parameters
In a simulation model of the process of corn straw crushing, its physical parameters and the model itself influence the accuracy of the numerical calculations of the discrete element method. This study attempts to improve the simulation accuracy of the crushing process and to find the optimal combin...
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Veröffentlicht in: | Bioresources 2020-11, Vol.15 (4), p.9337-9350 |
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description | In a simulation model of the process of corn straw crushing, its physical parameters and the model itself influence the accuracy of the numerical calculations of the discrete element method. This study attempts to improve the simulation accuracy of the crushing process and to find the optimal combination of parameters. Based on the Hertz-Mindlin with Bonding contact model, multiple particle replacement and bonding programs written using Visual Studio were imported through the application programming interface (API) of a discrete element method (DEM) model to establish three particle-bonding materials for a numerical simulation of the crushing process. Using results of mechanical corn stalk tests, DEM simulations of impact fracture, compression fracture, and bending fracture were conducted to determine the optimal combination of parameters. The resultant DEM-parameter combination led to simulation errors of 3.83%, 5.95%, and 7.86% in numerical simulations of impact fracture, bending fracture, and compression fracture of corn stalks, respectively. The performance of the corn stalk DEM using the proposed optimal parameter combination was validated using a 9RS-60 corn stalk crusher, revealing that the numerical simulation error was 8.77%. This study can improve the accuracy of the discrete element method in the simulation of the corn straw breaking process. |
doi_str_mv | 10.15376/biores.15.4.9337-9350 |
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This study attempts to improve the simulation accuracy of the crushing process and to find the optimal combination of parameters. Based on the Hertz-Mindlin with Bonding contact model, multiple particle replacement and bonding programs written using Visual Studio were imported through the application programming interface (API) of a discrete element method (DEM) model to establish three particle-bonding materials for a numerical simulation of the crushing process. Using results of mechanical corn stalk tests, DEM simulations of impact fracture, compression fracture, and bending fracture were conducted to determine the optimal combination of parameters. The resultant DEM-parameter combination led to simulation errors of 3.83%, 5.95%, and 7.86% in numerical simulations of impact fracture, bending fracture, and compression fracture of corn stalks, respectively. The performance of the corn stalk DEM using the proposed optimal parameter combination was validated using a 9RS-60 corn stalk crusher, revealing that the numerical simulation error was 8.77%. This study can improve the accuracy of the discrete element method in the simulation of the corn straw breaking process.</description><identifier>ISSN: 1930-2126</identifier><identifier>EISSN: 1930-2126</identifier><identifier>DOI: 10.15376/biores.15.4.9337-9350</identifier><language>eng</language><publisher>Raleigh: North Carolina State University</publisher><subject>Bonding ; Compression ; Compression tests ; Corn ; Crushing ; Discrete element method ; Energy consumption ; Error analysis ; Feeds ; Mathematical models ; Mechanical properties ; Mindlin plates ; Model accuracy ; Parameters ; Physical properties ; Research methodology ; Shear stress ; Shear tests ; Simulation ; Straw ; Vegetables ; Visual programming languages</subject><ispartof>Bioresources, 2020-11, Vol.15 (4), p.9337-9350</ispartof><rights>2020. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms available at https://bioresources.cnr.ncsu.edu/about-the-journal/editorial-policies</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c331t-8e911ab2791bcac4190f6f63b2644a5d9af6b93db259e4d731cdc9c2572ea9813</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,27924,27925</link.rule.ids></links><search><creatorcontrib>Zhang, Tao</creatorcontrib><creatorcontrib>Zhao, Manquan</creatorcontrib><creatorcontrib>Liu, Fei</creatorcontrib><creatorcontrib>Tian, Haiqing</creatorcontrib><creatorcontrib>Wulan, Tuya</creatorcontrib><creatorcontrib>Yue, Yao</creatorcontrib><creatorcontrib>Li, Dapeng</creatorcontrib><title>A discrete element method model of corn stalk and its mechanical characteristic parameters</title><title>Bioresources</title><description>In a simulation model of the process of corn straw crushing, its physical parameters and the model itself influence the accuracy of the numerical calculations of the discrete element method. This study attempts to improve the simulation accuracy of the crushing process and to find the optimal combination of parameters. Based on the Hertz-Mindlin with Bonding contact model, multiple particle replacement and bonding programs written using Visual Studio were imported through the application programming interface (API) of a discrete element method (DEM) model to establish three particle-bonding materials for a numerical simulation of the crushing process. Using results of mechanical corn stalk tests, DEM simulations of impact fracture, compression fracture, and bending fracture were conducted to determine the optimal combination of parameters. The resultant DEM-parameter combination led to simulation errors of 3.83%, 5.95%, and 7.86% in numerical simulations of impact fracture, bending fracture, and compression fracture of corn stalks, respectively. The performance of the corn stalk DEM using the proposed optimal parameter combination was validated using a 9RS-60 corn stalk crusher, revealing that the numerical simulation error was 8.77%. This study can improve the accuracy of the discrete element method in the simulation of the corn straw breaking process.</description><subject>Bonding</subject><subject>Compression</subject><subject>Compression tests</subject><subject>Corn</subject><subject>Crushing</subject><subject>Discrete element method</subject><subject>Energy consumption</subject><subject>Error analysis</subject><subject>Feeds</subject><subject>Mathematical models</subject><subject>Mechanical properties</subject><subject>Mindlin plates</subject><subject>Model accuracy</subject><subject>Parameters</subject><subject>Physical properties</subject><subject>Research methodology</subject><subject>Shear stress</subject><subject>Shear tests</subject><subject>Simulation</subject><subject>Straw</subject><subject>Vegetables</subject><subject>Visual programming languages</subject><issn>1930-2126</issn><issn>1930-2126</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNkEtLAzEUhYMoWKt_QQKup-Y9zbIUX1Bwoxs3IZPcoakzk5qkC_-9qXXh6p4Dh3O4H0K3lCyo5K2670JMkKtZiIXmvG00l-QMzajmpGGUqfN_-hJd5bwjRCw5JTP0scI-ZJegAIYBRpgKHqFso8dj9DDg2GMX04RzscMntpPHoeQacVs7BWcHXEWyrkAKuQSH99XVAkj5Gl30dshw83fn6P3x4W393Gxen17Wq03jOKelWYKm1Has1bRz1gmqSa96xTumhLDSa9urTnPfMalB-JZT5512TLYMrF5SPkd3p959il8HyMXs4iFNddIwWf-WTCtdU-qUcinmnKA3-xRGm74NJeaXozlxrMYIc-Rojhz5D7E3aRc</recordid><startdate>20201101</startdate><enddate>20201101</enddate><creator>Zhang, Tao</creator><creator>Zhao, Manquan</creator><creator>Liu, Fei</creator><creator>Tian, Haiqing</creator><creator>Wulan, Tuya</creator><creator>Yue, Yao</creator><creator>Li, Dapeng</creator><general>North Carolina State University</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20201101</creationdate><title>A discrete element method model of corn stalk and its mechanical characteristic parameters</title><author>Zhang, Tao ; Zhao, Manquan ; Liu, Fei ; Tian, Haiqing ; Wulan, Tuya ; Yue, Yao ; Li, Dapeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c331t-8e911ab2791bcac4190f6f63b2644a5d9af6b93db259e4d731cdc9c2572ea9813</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Bonding</topic><topic>Compression</topic><topic>Compression tests</topic><topic>Corn</topic><topic>Crushing</topic><topic>Discrete element method</topic><topic>Energy consumption</topic><topic>Error analysis</topic><topic>Feeds</topic><topic>Mathematical models</topic><topic>Mechanical properties</topic><topic>Mindlin plates</topic><topic>Model accuracy</topic><topic>Parameters</topic><topic>Physical properties</topic><topic>Research methodology</topic><topic>Shear stress</topic><topic>Shear tests</topic><topic>Simulation</topic><topic>Straw</topic><topic>Vegetables</topic><topic>Visual programming languages</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Tao</creatorcontrib><creatorcontrib>Zhao, Manquan</creatorcontrib><creatorcontrib>Liu, Fei</creatorcontrib><creatorcontrib>Tian, Haiqing</creatorcontrib><creatorcontrib>Wulan, Tuya</creatorcontrib><creatorcontrib>Yue, Yao</creatorcontrib><creatorcontrib>Li, Dapeng</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Agricultural Science Database</collection><collection>Publicly Available Content Database</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 China</collection><jtitle>Bioresources</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Tao</au><au>Zhao, Manquan</au><au>Liu, Fei</au><au>Tian, Haiqing</au><au>Wulan, Tuya</au><au>Yue, Yao</au><au>Li, Dapeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A discrete element method model of corn stalk and its mechanical characteristic parameters</atitle><jtitle>Bioresources</jtitle><date>2020-11-01</date><risdate>2020</risdate><volume>15</volume><issue>4</issue><spage>9337</spage><epage>9350</epage><pages>9337-9350</pages><issn>1930-2126</issn><eissn>1930-2126</eissn><abstract>In a simulation model of the process of corn straw crushing, its physical parameters and the model itself influence the accuracy of the numerical calculations of the discrete element method. This study attempts to improve the simulation accuracy of the crushing process and to find the optimal combination of parameters. Based on the Hertz-Mindlin with Bonding contact model, multiple particle replacement and bonding programs written using Visual Studio were imported through the application programming interface (API) of a discrete element method (DEM) model to establish three particle-bonding materials for a numerical simulation of the crushing process. Using results of mechanical corn stalk tests, DEM simulations of impact fracture, compression fracture, and bending fracture were conducted to determine the optimal combination of parameters. The resultant DEM-parameter combination led to simulation errors of 3.83%, 5.95%, and 7.86% in numerical simulations of impact fracture, bending fracture, and compression fracture of corn stalks, respectively. The performance of the corn stalk DEM using the proposed optimal parameter combination was validated using a 9RS-60 corn stalk crusher, revealing that the numerical simulation error was 8.77%. This study can improve the accuracy of the discrete element method in the simulation of the corn straw breaking process.</abstract><cop>Raleigh</cop><pub>North Carolina State University</pub><doi>10.15376/biores.15.4.9337-9350</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Bonding Compression Compression tests Corn Crushing Discrete element method Energy consumption Error analysis Feeds Mathematical models Mechanical properties Mindlin plates Model accuracy Parameters Physical properties Research methodology Shear stress Shear tests Simulation Straw Vegetables Visual programming languages |
title | A discrete element method model of corn stalk and its mechanical characteristic parameters |
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