中国农机化学报2026,Vol.47Issue(9):53-59,68,8.DOI:10.13733/j.jcam.issn.2095-5553.2026.09.007
牵引式方捆收获设备性能参数优化与试验
Optimization and experiment of performance parameters for traction type square bundle harvester
摘要
Abstract
To address the challenges associated with straw collection,storage,and utilization,as well as the low operating efficiency and poor field adaptability of small-sized harvesting machinery in China,a traction-type square baler harvester integrating straw pickup,feeding,pre-compression,and baling operations was designed and developed.The kinetic characteristics of key components,including the pickup system and the feeding precompression mechanism,were analyzed to identify the main factors influencing machine performance and operational efficiency.A quadratic orthogonal rotational combination experiment based on RSM was conducted to optimize the operating parameters of the harvester.The machine forward speed,linear speed of spring rulers,linear speed of the rotor cutter,and speed of the feeding fork were selected as influencing factors.The missed pickup rate,conveying failure rate,and comprehensive performance score were used as performance evaluation indices.Experimental data were analyzed and optimized using Design—Expert software.The results showed that the optimal operating parameter combination consisted of a machine forward speed of 2.52 m/s,a pickup spring ruler linear speed of 3.68 m/s,a rotor cutter linear speed of 4.69 m/s,and a feeding fork speed of 190 r/min.Under these conditions,the comprehensive performance score reached its minimum value,indicating the best overall operating performance.Field validation tests further demonstrated that the missed pickup rate and conveying failure rate were reduced to 1.38%and 1.21%,respectively,while the comprehensive performance score was 1.32%.关键词
秸秆/捡拾/打捆/运动学/参数优化Key words
straw harvesting/pickup mechanism/square baling/Kinematic analysis/parameter optimization分类
农业科技引用本文复制引用
文世昌,伍涛,孙奎,李景彬,王寒磊..牵引式方捆收获设备性能参数优化与试验[J].中国农机化学报,2026,47(9):53-59,68,8.基金项目
新疆生产建设兵团"天山英才"青年科技拔尖人才培养计划项目(2022TSYCCX0117) (2022TSYCCX0117)