Calibration of Simulation Parameters for Fresh Tea Leaves Based on the Discrete Element Method

Dongdong Li, Rongyang Wang (), Yingpeng Zhu, Jianneng Chen (), Guofeng Zhang and Chuanyu Wu
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Dongdong Li: College of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China
Rongyang Wang: College of Intelligent Manufacturing and Elevator Technology, Huzhou Vocational and Technical College, Huzhou 313000, China
Yingpeng Zhu: College of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China
Jianneng Chen: College of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China
Guofeng Zhang: College of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China
Chuanyu Wu: College of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China

Agriculture, 2024, vol. 14, issue 1, 1-14

Abstract: To address the problem of a lack of accurate parameters in the discrete element simulation study of the machine-picked fresh tea leaf mechanized-sorting process, this study used machine-picked fresh tea leaves as the research object, established discrete element models of different fresh tea leaf components in EDEM software version 7.0.0. based on the bonded particle model using three-dimensional scanning inverse-modeling technology, and calibrated the simulation parameters through physical tests and virtual simulation tests. Firstly, the intrinsic parameters of machine-picked tea leaves were measured using physical tests; the physical-stacking tea leaf test was conducted using the cylinder lifting method, the tea leaf repose angle being 32.62° as measured from the stacking images using CAD. With the physical repose angle as the target value, the Plackeet–Burman test, the steepest-ascent test and the Box–Behnken optimization test were conducted in turn, and the results showed that the static friction coefficient between tea leaves, the rolling friction coefficient between tea leaves and the static friction coefficient between tea leaves and PVC have a major effect on the repose angle, and the optimal combination of the three significant parameters was determined. Finally, five simulations were conducted using the optimal combination of parameters, the relative error between the repose angle measured by the simulation test and the physical repose angle being just 0.28%. Moreover, the t -test obtained p > 0.05, indicating that there was no significant difference between the simulation test results and the physical test results. The results showed that the calibrated discrete element simulation parameters obtained could provide a reference for the discrete element simulation study of fresh tea leaves.

Keywords: fresh tea leaves; parameter calibration; repose angle; discrete element method; three-dimensional scanning (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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