农机化研究2025，Vol.47Issue(4)：1-8,8.DOI:10.13427/j.issn.1003-188X.2025.04.001
基于CFD-DEM的种子联合收获机气流清种仿真分析
Simulation Analysis of Air Flow Seed Cleaning for Seed Combine Harvester Based on CFD-DEM
摘要
Abstract
In response to the problem of residual seeds in the transport and unloading augers of existing seed combine har-vesters after unloading,a seed cleaning jet was added to these areas.Analyze and study the feasibility of using airflow to clean residual seed particles within a spiral conveying structure.A study was conducted on the influence of two factors,the rotational speed of the spiral auger and the airflow velocity at the seed cleaning inlet,on the seed cleaning effect,and numerical simulation of the gas-solid two-phase flow inside the unloading auger structure was carried out.The numerical simulation was based on the coupled solution of Computational Fluid Dynamics Discrete Element Method(CFD-DEM),and the motion trajectories and distribution states of gas and particle phases under different operating parameters and air-flow conditions were obtained.The results showed that the motion state of the spiral auger had a significant impact on the passing ability of the seed cleaning airflow.When the spiral auger was in a high speed state,the seed cleaning airflow de-cays faster and the wind loss was greater,making it difficult to effectively clean the seeds through the airflow.The airflow speed had a significant impact on the seed cleaning effect.The number of remaining seeds and the time required for seed cleaning decrease with the increase of airflow speed.When the airflow speed was too fast,it will cause the seeds to collide with the blades of the spiral auger,resulting in flowing toward the opposite direction and affecting the seed cleaning effect.The optimal seed cleaning airflow speed was 50 m/s.关键词
种子联合收获机/气流清种/仿真分析/CFD-DEM/水稻种子Key words
seed combine harvester/air flow seed cleaning/simulation analysis/CFD-DEM/rice seeds分类
农业工程引用本文复制引用
夏圣博,李耀明,姬魁洲,杜拓,王法政..基于CFD-DEM的种子联合收获机气流清种仿真分析[J].农机化研究,2025,47(4):1-8,8.基金项目
国家自然科学基金项目(51975257) （51975257）
