Peanut Pickup Combine Harvester Seedling Vines Crushing Mechanism Performance Enhancement and Pilot Studies

Jinbiao Zhang, Zhuang Zhao, Zenghui Gao, Yu Tian, Dongwei Wang () and Nan Xu ()
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Jinbiao Zhang: College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
Zhuang Zhao: Yellow River Delta Intelligent Agricultural Machinery Equipment Industry Research Institute, Qingdao 257300, China
Zenghui Gao: Yellow River Delta Intelligent Agricultural Machinery Equipment Industry Research Institute, Qingdao 257300, China
Yu Tian: Yellow River Delta Intelligent Agricultural Machinery Equipment Industry Research Institute, Qingdao 257300, China
Dongwei Wang: College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China
Nan Xu: College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China

Agriculture, 2024, vol. 14, issue 9, 1-24

Abstract: Aiming at the current peanut pickup combine harvester seedling vines crushing mechanism operation qualified seedling length rate is low, the impurity rate is high, and the seedling vines crushing mechanism is optimized design. On the basis of the material characteristics of peanut seedling vines, taking the crushing mechanism as the research carrier, the interaction mechanism of the seedling vine mechanism was analyzed. Establish the mechanical model and motion trajectory model in the crushing process, simulate the peanut seedling vines crushing process based on the discrete element method, analyze the influence of the cutter shaft rotational speed, movement speed, and bending angle on the crushing of peanut seedling vines, and establish the regression model, and the results of the research show that the influence factors in the main order of priority are: knife shaft speed > movement speed > bending angle The optimal parameter combination is knife shaft speed 2171.94 r/min, movement speed 0.79 m/s, and bending angle 45°. According to the field test conditions, it is determined that the knife shaft rotational speed of 2170 r/min, movement speed of 0.8 m/s, and bending angle of 45° can make the peanut seedling vines crushing mechanism of the work performance to achieve a qualified seedling length rate of 97.292%, the rate of impurity content of 2.746%, and the error with the predicted value is less than 2%, which indicates that this study can provide a reference for the optimal design of the seedling vines crushing mechanism of the peanut pickup combine harvester.

Keywords: peanut seedling vines; crushing; discrete element; simulation test (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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