Simulation Parameter Calibration and Experimental Study of a Discrete Element Model of Cotton Precision Seed Metering

Shenghe Bai, Yanwei Yuan, Kang Niu, Liming Zhou, Bo Zhao, Liguo Wei, Lijing Liu, Shi Xiong, Zenglu Shi, Yihua Ma, Yuankun Zheng and Gaoyong Xing
Additional contact information
Shenghe Bai: College of Engineering, China Agricultural University, Beijing 100083, China
Yanwei Yuan: College of Engineering, China Agricultural University, Beijing 100083, China
Kang Niu: The State Key Laboratory of Soil, Plant and Machine System Technology, Beijing 100083, China
Liming Zhou: The State Key Laboratory of Soil, Plant and Machine System Technology, Beijing 100083, China
Bo Zhao: The State Key Laboratory of Soil, Plant and Machine System Technology, Beijing 100083, China
Liguo Wei: The State Key Laboratory of Soil, Plant and Machine System Technology, Beijing 100083, China
Lijing Liu: College of Engineering, China Agricultural University, Beijing 100083, China
Shi Xiong: College of Engineering, China Agricultural University, Beijing 100083, China
Zenglu Shi: College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China
Yihua Ma: The State Key Laboratory of Soil, Plant and Machine System Technology, Beijing 100083, China
Yuankun Zheng: College of Engineering, China Agricultural University, Beijing 100083, China
Gaoyong Xing: College of Engineering, China Agricultural University, Beijing 100083, China

Agriculture, 2022, vol. 12, issue 6, 1-20

Abstract: To improve the accuracy of the parameters used in the discrete element simulation test, this study calibrated the simulation parameters of cotton seeds by combining a physical test and simulation test. Based on the intrinsic parameters used for the physical test of cotton seed, according to the freefall collision method, inclined plane sliding method, and inclined plane rolling method, the contact parameters of cotton seeds and cotton seeds, stainless steel, and nylon were measured, respectively. The physical test of the accumulation angle and angle of repose of the cotton seeds was conducted. It was obtained to process the image of the seed pile with Matrix Laboratory software. The Plackett–Burman test was used to screen the significance of the simulation parameters. The optimal value range of the significant parameters was determined according to the steepest climbing test. The second-order regression model of the significant parameters, the stacking-angle error, and the angle-of-repose error were obtained according to the Box–Behnken design test. Taking the minimum stacking-angle error and angle-of-repose error as the optimization target values, the following optimal parameter combination was obtained: the interspecies collision recovery coefficient was 0.413, the interspecies static friction coefficient was 0.695, and the interspecies rolling friction coefficient was 0.214. Three repetitive simulation experiments were conducted to prove the reliability of the calibration results. The research results can be used for discrete element simulation experiments for cotton precision seed metering.

Keywords: parameter; stacking angle; angle of repose; discrete element; seeding; cotton seeds (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: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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