LAPSE:2023.0965
Published Article
LAPSE:2023.0965
Calibration of Discrete Element Parameters of Maize Root and Its Mixture with Soil
Shilin Zhang, Feifei Yang, Jianxin Dong, Xuhui Chen, Yan Liu, Guopeng Mi, Tao Wang, Xian Jia, Yuxiang Huang, Xuezhen Wang
February 21, 2023
Abstract
Discrete element simulation is an effective method to reveal the interaction between tillage components and work objects. However, due to the lack of discrete element modelling parameters of maize root and its mixture with soil, existing tillage models cannot accurately simulate the farmland environment under a no-tillage system. This study developed single maize root (SMR) with different diameters and maize root-soil mixture (MRSM) DEM models based on calibrated parameters through the angle of repose (AOR) tests. First, the Plackett−Burman and the steepest climb tests were performed to identify the range of essential parameters for the AOR of the SMR. Then, the optimal parameters for the SMR and MRSR models were obtained by Box−Behnken design (BBD) testing. The results showed that the static friction coefficient of SMR-SMR and the rolling friction coefficient of SMR-SMR and SMR-steel significantly affected the AOR. In addition, the AOR of MRSM was extremely sensitive to the restitution coefficient and surface energy coefficient of root soil. Based on optimal parameters, the relative errors between the simulated and measured AOR and pixel peak values of the piles’ contour curve were less than 5% for SMR and MRSM. The error of the dynamic AOR of the measured and simulated MSRM was less than 10%. These results indicate that the parameter calibration method and the developed models can be valuable references for DEM simulation for maize stubble and tillage.
Keywords
angle of repose, discrete element method, maize root, parameter calibration, root-soil mixture
Suggested Citation
Zhang S, Yang F, Dong J, Chen X, Liu Y, Mi G, Wang T, Jia X, Huang Y, Wang X. Calibration of Discrete Element Parameters of Maize Root and Its Mixture with Soil. (2023). LAPSE:2023.0965
Author Affiliations
Zhang S: College of Mechanical and Electronic Engineering, Northwest A & F University, Xianyang 712100, China
Yang F: College of Mechanical and Electronic Engineering, Northwest A & F University, Xianyang 712100, China
Dong J: College of Mechanical and Electronic Engineering, Northwest A & F University, Xianyang 712100, China
Chen X: College of Mechanical and Electronic Engineering, Northwest A & F University, Xianyang 712100, China
Liu Y: College of Mechanical and Electronic Engineering, Northwest A & F University, Xianyang 712100, China
Mi G: College of Mechanical and Electronic Engineering, Northwest A & F University, Xianyang 712100, China
Wang T: College of Mechanical and Electronic Engineering, Northwest A & F University, Xianyang 712100, China
Jia X: College of Mechanical and Electronic Engineering, Northwest A & F University, Xianyang 712100, China
Huang Y: College of Mechanical and Electronic Engineering, Northwest A & F University, Xianyang 712100, China [ORCID]
Wang X: College Agricultural Equipment Engineering, Henan University of Science & Technology, Luoyang 471003, China
Journal Name
Processes
Volume
10
Issue
11
First Page
2433
Year
2022
Publication Date
2022-11-17
ISSN
2227-9717
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Original Submission
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PII: pr10112433, Publication Type: Journal Article
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LAPSE:2023.0965
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https://doi.org/10.3390/pr10112433
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