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Open AccessArticle
Discrete Element Model of Oil Peony Seeds and the Calibration of Its Parameters
by
Hao Zhou
Hao Zhou 1,2,3,*,
Kangtai Li
Kangtai Li 1,
Zhiyu Qin
Zhiyu Qin 1,
Shengsheng Wang
Shengsheng Wang 1,2,3,
Xuezhen Wang
Xuezhen Wang 1,2,3
and
Fengyun Sun
Fengyun Sun 1
1
College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China
2
Longmen Laboratory, Luoyang 471003, China
3
Henan Collaborative Creation Center for Advanced Manufacturing of Machinery and Equipment, Luoyang 471003, China
*
Author to whom correspondence should be addressed.
Agriculture 2024, 14(7), 1092; https://doi.org/10.3390/agriculture14071092 (registering DOI)
Submission received: 12 June 2024
/
Revised: 4 July 2024
/
Accepted: 4 July 2024
/
Published: 6 July 2024
Abstract
Abstract: Oil peony is an important oil crop that is primarily sown by using artificial methods at present. Its seeder encounters the problems of low efficiency of seeding that significantly limits the highly efficient mechanized production of high-quality peony oil. In this study, Fengdan white oil peony seeds were used as the research object and repose angle as the response value to establish a discrete element model (DEM) and parameter calibration. The range of parameters of oil peony seeds was first obtained through an experiment, and their repose angle was obtained by an inclinometer. A three-dimensional DEM of oil peony seeds was then established. The Plackett–Burman (PB) test was utilized to screen the parameters that had a significant influence on the repose angle, and the steepest ascent (SA) test was applied to determine their optimum range of testing. Following this, based on Box–Behnken (BBD) test results, a second-order regression model between the important parameters and the repose angle was constructed. Finally, the absolute minimum difference between simulated and measured repose angles was utilized as the objective of optimization to obtain the following optimum combination of parameters: The values of the seed–steel collision recovery coefficient (CRC), seed–seed static friction coefficient (SFC), seed–steel SFC, and seed–seed rolling friction coefficient (RFC) were 0.704, 0.324, 0.335, and 0.045, respectively. This optimal combination of parameters was confirmed through simulations, and the error between simulated and measured repose angles was only 0.67%, indicating that the calibrated DEM of oil peony seeds was reliable.
Share and Cite
MDPI and ACS Style
Zhou, H.; Li, K.; Qin, Z.; Wang, S.; Wang, X.; Sun, F.
Discrete Element Model of Oil Peony Seeds and the Calibration of Its Parameters. Agriculture 2024, 14, 1092.
https://doi.org/10.3390/agriculture14071092
AMA Style
Zhou H, Li K, Qin Z, Wang S, Wang X, Sun F.
Discrete Element Model of Oil Peony Seeds and the Calibration of Its Parameters. Agriculture. 2024; 14(7):1092.
https://doi.org/10.3390/agriculture14071092
Chicago/Turabian Style
Zhou, Hao, Kangtai Li, Zhiyu Qin, Shengsheng Wang, Xuezhen Wang, and Fengyun Sun.
2024. "Discrete Element Model of Oil Peony Seeds and the Calibration of Its Parameters" Agriculture 14, no. 7: 1092.
https://doi.org/10.3390/agriculture14071092
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