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...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
|
Series: | Processes |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-9717/9/4/605 |
id |
doaj-0e88599eaa8e4d2fb2f5ca8b75a478eb |
---|---|
record_format |
Article |
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 |
_version_ |
1724178799409496064 |