采棉机采头吹风管流动性能仿真分析与优化  

Simulation analysis and optimization of the flow performance of the air supply system for cotton picking machine header blowpipe

作　　者：凡遵金 Fan Zunjin(China Railway Construction Heavy Industry Corporation Limited,Changsha,410000,Hunan,China)

机构地区：[1]中国铁建重工集团股份有限公司,湖南长沙410000

出　　处：《新疆农机化》2025年第1期39-44,共6页Xinjiang Agricultural Mechanization

摘　　要：为避免采棉机输棉通道堵塞,提升风送系统输送效率,采用STAR-CCM+建立采头吹风管流动性能CFD仿真模型,通过风送系统测试试验,验证了仿真模型的精确度,确定仿真模型的相对误差小于5%;在此基础上搭建了采头仿真自动化集成流程,并基于优化拉丁方试验设计方法分析了吹风管出口结构参数对吹风速度的影响,然后应用神经网络模型构建采头流动性能降阶模型,对结构参数进行优化改进。优化结果表明:吹风管压力损失增加0.2%,前吹风口平均风速提高10.9%;研究结果为采头吹风管优化设计提供理论依据。To avoid blockages in the cotton conveying channel of the cotton picker and improve the conveying efficiency of the air delivery system,a CFD simulation model of the flow performance of the picking head blowing tube was established using STAR-CCM+.The accuracy of the simulation model was verified through testing of the air delivery system,and the relative error of the simulation model was determined to be less than 5%.On this basis,an automated integrated process for sampling head simulation was established,and the influence of the outlet structural parameters of the blowing pipe on the blowing speed was analyzed based on the optimized Latin square experimental design method.Then,a neural network model was applied to construct a reduced order model for the flow performance of the sampling head,and the structural parameters were optimized and improved.The optimization results show that the pressure loss of the blowing pipe increases by 0.2%,and that the average wind speed of the front blowing outlet increases by 10.9%.These results provide a theoretical basis for the optimized design of the header blowpipe.

关 键 词：采棉机 吹风管 CFD 降阶模型 优化 

分 类 号：S225.911[农业科学—农业机械化工程]