Calibration of Contact Parameters for Particulate Materials in Residual Film Mixture after Sieving Based on EDEM

Pengfei Zhou, Yaping Li (), Rongqing Liang, Bingcheng Zhang and Za Kan
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Pengfei Zhou: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China
Yaping Li: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China
Rongqing Liang: College of Energy and Mechanical, Dezhou University, Dezhou 253023, China
Bingcheng Zhang: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China
Za Kan: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China

Agriculture, 2023, vol. 13, issue 5, 1-14

Abstract: In this study, to obtain the contact parameters of particulate materials accurately and quickly in residual film mixture after sieving, the contact parameters of particulate materials were calibrated via a physical test and simulation test. By using the self-made dynamic angle of a repose measurement test bench, the dynamic angle of repose of the particulate materials was measured at 41.32°, and the standard deviation was 1.33°. A discrete element simulation of the dynamic angle of the repose test was performed via an EDEM screening experiment design through a simulation of a combination of different parameters, with the dynamic angle of repose as the response value. Through simulation experiments, three significant influencing factors, as well as the level range of each factor, were confirmed. By using the response surface experiment, a mathematical model of the dynamic angle of repose and the three most influential parameters was created. The analysis of variance showed that the determination coefficient R 2 and the correction determination coefficient R 2 adj were 0.9824 and 0.9598, respectively. The model had a good fit. The variable coefficient was 2.06% and the lack of fit was non-significant, which showed that the regression model was very significant, and the dynamic angle of repose could be predicted according to the model. By solving the optimization for the mathematical model, the optimal combination of parameters with three important influencing factors were obtained. The results showed that the coefficient of the static friction between soil and soil was 0.38, the coefficient of the rolling friction between soil and soil was 0.08, and the coefficient of the static friction between cotton residue and cotton residue was 0.33. The relative error of the dynamic angle of repose between the simulation with the optimal parameter combination and the physical test value was 2.64%. The results could provide a reference for the calibration of the discrete element model parameters of other agricultural particulate material, as well as provide a theoretical basis for the design of related collecting and conveying machinery.

Keywords: discrete element method; particulate materials in residual film mixture; dynamic angle of repose; contact parameter; response surface methodology (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: 2023
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