Parameter Calibration of Discrete Element Model for Cotton Rootstalk–Soil Mixture at Harvest Stage in Xinjiang Cotton Field

Deli Jiang, Xuegeng Chen, Limin Yan (), Haixiao Gou, Jiacheng Yang and Ying Li
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Deli Jiang: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, China
Xuegeng Chen: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, China
Limin Yan: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, China
Haixiao Gou: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, China
Jiacheng Yang: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, China
Ying Li: College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, China

Agriculture, 2023, vol. 13, issue 7, 1-17

Abstract: Due to the lack of accurate discrete element simulation model parameters in the design optimization process of key agricultural machinery components in the whole mechanization technology system of cotton generation, the optimization and improvement of the machine is restricted to a certain extent. Taking a cotton rootstalk–soil mixture at harvest stage in a Xinjiang cotton field as the research object, the discrete element simulation model of a cotton rootstalk–soil mixture was constructed, and the contact parameters of discrete element simulation were calibrated by combining simulation analysis with a physical test. The discrete element significant-influence parameters of cotton rootstalk–soil mixture were screened by Placket–Burman test, and the optimal range of significant-influence parameters was determined by the steepest climbing test. According to the principle of Box–Behnken test, the quadratic regression model of repose angle and significant parameters was established with repose angle as the response value. Taking the actual repose angle as the target, the Design-Expert software was used to optimize the parameters with significant influence and obtain the optimal combination of parameters. The optimal parameter combination was compared and verified by simulation experiments. The relative error between the simulated repose angle and the physical test was 2.36%. The results showed that the calibrated parameters were true and reliable, which could provide a theoretical reference for the discrete element simulation of cotton rootstalk–soil mixture in a Xinjiang cotton field.

Keywords: cotton rootstalk–soil mixture; repose angle; discrete element; parameter calibration (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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