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
Hauptverfasser: Zhang, Tao, Zhao, Manquan, Liu, Fei, Tian, Haiqing, Wulan, Tuya, Yue, Yao, Li, Dapeng
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container_end_page 9350
container_issue 4
container_start_page 9337
container_title Bioresources
container_volume 15
creator Zhang, Tao
Zhao, Manquan
Liu, Fei
Tian, Haiqing
Wulan, Tuya
Yue, Yao
Li, Dapeng
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%. 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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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