The Establishment of a Discrete Element Model of Wheat Grains with Different Moisture Contents: A Research Study

The high moisture content of wheat grains in extreme weather, such as continuous rain, can easily cause mildew, and we lack accurate discrete element parameters when conducting a simulation analysis of the rapid dehumidification of high-moisture grains. Based on the material characteristics of wheat...

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Main Authors: He Li, Guangmeng Guo, Lu Xun, Junhao Lu, Huanhuan Chen, Gongpei Cui
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Agriculture
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Online Access:https://www.mdpi.com/2077-0472/15/11/1232
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author He Li
Guangmeng Guo
Lu Xun
Junhao Lu
Huanhuan Chen
Gongpei Cui
author_facet He Li
Guangmeng Guo
Lu Xun
Junhao Lu
Huanhuan Chen
Gongpei Cui
author_sort He Li
collection DOAJ
description The high moisture content of wheat grains in extreme weather, such as continuous rain, can easily cause mildew, and we lack accurate discrete element parameters when conducting a simulation analysis of the rapid dehumidification of high-moisture grains. Based on the material characteristics of wheat grains with a moisture content ranging from 10.41% to 32.51%, the key parameters of discrete element simulation were calibrated. Firstly, the stacking angle under different moisture contents was determined by a physical experiment, and the regression equation was established as R<sup>2</sup> = 0.9981. Subsequently, three significant parameters, namely, the static friction coefficient between the grains and steel plates, the static friction coefficient between grains, and the rolling friction coefficient, were selected from nine parameters using the Plackett–Burman test and the steepest climbing test. Furthermore, the stacking angle–discrete element parameter model was established using the Box–Behnken test as R<sup>2</sup> = 0.98, with a relative error of less than or equal to 3.28%. Finally, the moisture content–discrete element parameter model was derived and constructed based on the moisture content–stacking angle model and the stacking angle–discrete element parameter model, with a relative error of less than or equal to 3.92%. The results indicate that the discrete element simulation parameters of wheat grains can be directly predicted by the moisture content and used for the discrete element simulation testing of high-moisture wheat grains. This universal calibration method not only provides convenient and reliable technical support for optimizing the emergency rapid dehumidification process for high-moisture wheat grains but also provides a reference method for the calibration of other grains.
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spelling doaj-art-57b6949d4d0d4b95b78ae59ccd6779a32025-08-20T03:46:38ZengMDPI AGAgriculture2077-04722025-06-011511123210.3390/agriculture15111232The Establishment of a Discrete Element Model of Wheat Grains with Different Moisture Contents: A Research StudyHe Li0Guangmeng Guo1Lu Xun2Junhao Lu3Huanhuan Chen4Gongpei Cui5College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, ChinaCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, ChinaCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, ChinaCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, ChinaCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, ChinaCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, ChinaThe high moisture content of wheat grains in extreme weather, such as continuous rain, can easily cause mildew, and we lack accurate discrete element parameters when conducting a simulation analysis of the rapid dehumidification of high-moisture grains. Based on the material characteristics of wheat grains with a moisture content ranging from 10.41% to 32.51%, the key parameters of discrete element simulation were calibrated. Firstly, the stacking angle under different moisture contents was determined by a physical experiment, and the regression equation was established as R<sup>2</sup> = 0.9981. Subsequently, three significant parameters, namely, the static friction coefficient between the grains and steel plates, the static friction coefficient between grains, and the rolling friction coefficient, were selected from nine parameters using the Plackett–Burman test and the steepest climbing test. Furthermore, the stacking angle–discrete element parameter model was established using the Box–Behnken test as R<sup>2</sup> = 0.98, with a relative error of less than or equal to 3.28%. Finally, the moisture content–discrete element parameter model was derived and constructed based on the moisture content–stacking angle model and the stacking angle–discrete element parameter model, with a relative error of less than or equal to 3.92%. The results indicate that the discrete element simulation parameters of wheat grains can be directly predicted by the moisture content and used for the discrete element simulation testing of high-moisture wheat grains. This universal calibration method not only provides convenient and reliable technical support for optimizing the emergency rapid dehumidification process for high-moisture wheat grains but also provides a reference method for the calibration of other grains.https://www.mdpi.com/2077-0472/15/11/1232wheat grainmoisture contentdiscrete element methodparameter calibrationstacking angle
spellingShingle He Li
Guangmeng Guo
Lu Xun
Junhao Lu
Huanhuan Chen
Gongpei Cui
The Establishment of a Discrete Element Model of Wheat Grains with Different Moisture Contents: A Research Study
Agriculture
wheat grain
moisture content
discrete element method
parameter calibration
stacking angle
title The Establishment of a Discrete Element Model of Wheat Grains with Different Moisture Contents: A Research Study
title_full The Establishment of a Discrete Element Model of Wheat Grains with Different Moisture Contents: A Research Study
title_fullStr The Establishment of a Discrete Element Model of Wheat Grains with Different Moisture Contents: A Research Study
title_full_unstemmed The Establishment of a Discrete Element Model of Wheat Grains with Different Moisture Contents: A Research Study
title_short The Establishment of a Discrete Element Model of Wheat Grains with Different Moisture Contents: A Research Study
title_sort establishment of a discrete element model of wheat grains with different moisture contents a research study
topic wheat grain
moisture content
discrete element method
parameter calibration
stacking angle
url https://www.mdpi.com/2077-0472/15/11/1232
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