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Design and Experiment of a Vertical Cotton Stalk Crushing and Returning Machine with Large and Small Dual-Blade Discs

文献类型： 外文期刊

作者： Guo, Xiaohu 1 ; Li, Bin 1 ; Liu, Yang 1 ; Wang, Shiguo 1 ; Tang, Zhong 2 ; Dong, Yuncheng 1 ; Liu, Xiangxin 1 ;

作者机构： 1.Xinjiang Acad Agr & Reclamat Sci, Shihezi 832000, Peoples R China

2.Jiangsu Univ, Coll Agr Engn, Zhenjiang 212013, Peoples R China

关键词： cotton stalks; straw shredding; discrete element method; response surface methodology; parameter optimization study

期刊名称：AGRICULTURE-BASEL （ 影响因子：3.6； 五年影响因子：3.8 ）

ISSN：

年卷期： 2025 年 15 卷 15 期

页码：

收录情况： SCI

摘要： To address the problems of low crushing efficiency and uneven distribution in traditional straw crushing and returning machines for cotton stalk return operations in Xinjiang, a vertical straw crushing and returning machine with large and small dual-blade discs was designed, adapted to Xinjiang's cotton planting model. The machine employs a differentiated configuration of large and small blade discs corresponding to four and two rows of cotton stalks, respectively, effectively reducing tool workload while significantly improving operational efficiency. A simulation model of the crushing and returning machine was developed using the discrete element method (DEM), and a flexible cotton stalk model was established to systematically investigate the effects of machine forward speed, crushing blade rotational speed, and knife tip-to-ground clearance on operational performance. Single-factor simulation experiments were conducted using crushing qualification rate and broken stalk drop rate as evaluation indicators. Subsequently, a multi-factor orthogonal field experiment was designed with Design-Expert software (13.0.1.0, Stat-Ease Inc, Minneapolis, MN, USA). The optimal working parameters were determined to be machine forward speed of 3.5 m/s, crushing blade shaft speed of 1500 r/min, and blade tip ground clearance of 60 mm. Verification tests demonstrated that under these optimal parameters, the straw crushing qualification rate reached 95.9% with a broken stalk drop rate of 15.5%. The relative errors were less than 5% compared to theoretical optimization values, confirming the reliability of parameter optimization. This study provides valuable references for the design optimization and engineering application of straw return machinery.

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