Simulation and Optimization of a Rotary Cotton Precision Dibbler Using DEM and MBD Coupling

Long Wang, Xuyang Ran, Lu Shi, Jianfei Xing, Xufeng Wang, Shulin Hou and Hong Li ()
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Long Wang: College of Mechanical and Electronic Engineering, Tarim University, Alar 843300, China
Xuyang Ran: College of Mechanical and Electronic Engineering, Tarim University, Alar 843300, China
Lu Shi: College of Mechanical and Electronic Engineering, Tarim University, Alar 843300, China
Jianfei Xing: College of Mechanical and Electronic Engineering, Tarim University, Alar 843300, China
Xufeng Wang: College of Mechanical and Electronic Engineering, Tarim University, Alar 843300, China
Shulin Hou: College of Engineering, China Agricultural University, Beijing 100083, China
Hong Li: College of Mechanical and Electronic Engineering, Tarim University, Alar 843300, China

Agriculture, 2024, vol. 14, issue 8, 1-21

Abstract: Investigating the seeding mechanism of precision seeders is of great significance for improving the quality of cotton sowing operations. This paper designs a rotary type-hole cotton precision mulching dibbler. The main factors influencing the entry of cotton seeds into the seed wheel holes during the seeding process are then theoretically analyzed. Following this, an accurate discrete element model of coated cotton seeds is established and combined with a discrete element method (DEM) and multi-body dynamics (MBD)-coupled simulation model of the seed drill for seed picking and planting. Simulation experiments on the seeding performance of the precision dibbler were performed to study the influence of the seed wheel structure and motion parameters on the picking and planting performance under different speeds. The optimal parameter combination for the seed wheel is obtained through optimization experiments, and a precision dibbler is manufactured for bench testing. The bench test results are consistent with the simulation test results. At the precision dibbler rotation speed of 16 r/min, the qualified index reaches a maximum value of 93.28%, the skip sowing index increases with the precision dibbler rotation speed, and the re-sowing index decreases as the speed increases. These optimization results significantly improved seeding precision and efficiency and are of great significance for the reliability and effectiveness of cotton sowing operations.

Keywords: discrete element method; multi-body dynamics; coupling simulation; dibbler (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
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