Measurement and Calibration of the Parameters for Discrete Element Method Modeling of Rapeseed

The discrete element method (DEM) for modeling the behavior of particulate material is highly dependent on the use of appropriate and accurate parameters. In this study, a seed metering DEM simulation was used to measure, calibrate, and verify the physical and interactional parameters of rapeseed. T...

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Main Authors: Xiulong Cao, Zehua Li, Hongwei Li, Xicheng Wang, Xu Ma
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Processes
Subjects:
DEM
Online Access:https://www.mdpi.com/2227-9717/9/4/605
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spelling doaj-0e88599eaa8e4d2fb2f5ca8b75a478eb2021-03-30T23:05:40ZengMDPI AGProcesses2227-97172021-03-01960560510.3390/pr9040605Measurement and Calibration of the Parameters for Discrete Element Method Modeling of RapeseedXiulong Cao0Zehua Li1Hongwei Li2Xicheng Wang3Xu Ma4College of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Mathematic and Information, South China Agricultural University, Guangzhou 510642, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaThe discrete element method (DEM) for modeling the behavior of particulate material is highly dependent on the use of appropriate and accurate parameters. In this study, a seed metering DEM simulation was used to measure, calibrate, and verify the physical and interactional parameters of rapeseed. The coefficients of restitution and static friction between rapeseeds and three common materials (aluminum alloy, acrylic, and high-density polyethylene) were measured using free drop and sliding ramp tests, respectively. The angle of repose was determined using a hollow cylinder experiment, which was duplicated using a DEM simulation, to examine the effects of static and rolling friction coefficients on the angle of repose. Response surface optimization was performed to determine the optimized model parameters using a Box–Behnken design test. A metering device was made with three materials, and rapeseed seeding was simulated at different working speeds to verify the calibrated parameters. The validation results showed that the relative errors between the seed metering model and experiments for the single qualified seeding, missed seeding, and multiple seeding rates were -0.15%, 3.29%, and 5.37%, respectively. The results suggest that the determined physical and interactional parameters of rapeseed can be used as references for future DEM simulations.https://www.mdpi.com/2227-9717/9/4/605rapeseedDEMinteraction propertiessimulationresponse surface methodology
collection DOAJ
language English
format Article
sources DOAJ
author Xiulong Cao
Zehua Li
Hongwei Li
Xicheng Wang
Xu Ma
spellingShingle Xiulong Cao
Zehua Li
Hongwei Li
Xicheng Wang
Xu Ma
Measurement and Calibration of the Parameters for Discrete Element Method Modeling of Rapeseed
Processes
rapeseed
DEM
interaction properties
simulation
response surface methodology
author_facet Xiulong Cao
Zehua Li
Hongwei Li
Xicheng Wang
Xu Ma
author_sort Xiulong Cao
title Measurement and Calibration of the Parameters for Discrete Element Method Modeling of Rapeseed
title_short Measurement and Calibration of the Parameters for Discrete Element Method Modeling of Rapeseed
title_full Measurement and Calibration of the Parameters for Discrete Element Method Modeling of Rapeseed
title_fullStr Measurement and Calibration of the Parameters for Discrete Element Method Modeling of Rapeseed
title_full_unstemmed Measurement and Calibration of the Parameters for Discrete Element Method Modeling of Rapeseed
title_sort measurement and calibration of the parameters for discrete element method modeling of rapeseed
publisher MDPI AG
series Processes
issn 2227-9717
publishDate 2021-03-01
description The discrete element method (DEM) for modeling the behavior of particulate material is highly dependent on the use of appropriate and accurate parameters. In this study, a seed metering DEM simulation was used to measure, calibrate, and verify the physical and interactional parameters of rapeseed. The coefficients of restitution and static friction between rapeseeds and three common materials (aluminum alloy, acrylic, and high-density polyethylene) were measured using free drop and sliding ramp tests, respectively. The angle of repose was determined using a hollow cylinder experiment, which was duplicated using a DEM simulation, to examine the effects of static and rolling friction coefficients on the angle of repose. Response surface optimization was performed to determine the optimized model parameters using a Box–Behnken design test. A metering device was made with three materials, and rapeseed seeding was simulated at different working speeds to verify the calibrated parameters. The validation results showed that the relative errors between the seed metering model and experiments for the single qualified seeding, missed seeding, and multiple seeding rates were -0.15%, 3.29%, and 5.37%, respectively. The results suggest that the determined physical and interactional parameters of rapeseed can be used as references for future DEM simulations.
topic rapeseed
DEM
interaction properties
simulation
response surface methodology
url https://www.mdpi.com/2227-9717/9/4/605
work_keys_str_mv AT xiulongcao measurementandcalibrationoftheparametersfordiscreteelementmethodmodelingofrapeseed
AT zehuali measurementandcalibrationoftheparametersfordiscreteelementmethodmodelingofrapeseed
AT hongweili measurementandcalibrationoftheparametersfordiscreteelementmethodmodelingofrapeseed
AT xichengwang measurementandcalibrationoftheparametersfordiscreteelementmethodmodelingofrapeseed
AT xuma measurementandcalibrationoftheparametersfordiscreteelementmethodmodelingofrapeseed
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