Hongsheng Li, Li Yang, Dongxing Zhang, Cui Tao, Xiantao He, Chunji Xie, Chuan Li, Zhaohui Du, Tianpu Xiao, Zhimin Li, Haoyu Wang
{"title":"基于 DEM-CFD 耦合方法的玉米种子高速导向装置的设计与优化","authors":"Hongsheng Li, Li Yang, Dongxing Zhang, Cui Tao, Xiantao He, Chunji Xie, Chuan Li, Zhaohui Du, Tianpu Xiao, Zhimin Li, Haoyu Wang","doi":"10.1016/j.compag.2024.109604","DOIUrl":null,"url":null,"abstract":"<div><div>This study designs a pneumatic seed delivery system for a high-speed corn planter based on the Venturi effect, aimed at improving seeding uniformity and efficiency. By utilizing an external blower to generate airflow, the seeds are accelerated within the seed tube, reducing collisions between seeds and achieving stable seed transport. The research adopts a gas–solid two-phase method to explore the effects of airflow rate and pressure on seed acceleration and delivery, revealing the principles of gas dynamics in seed transportation. DEM-CFD simulation technology, which integrates Discrete Element Method and Computational Fluid Dynamics, is employed to more accurately simulate the physical processes within the granular-fluid system, ensuring rapid acceleration and stable transport of seeds. Through response surface methodology (RSM), the structural parameters of the seed tube were optimized, identifying the main factors and optimal levels influencing seed delivery performance. Experimental results demonstrate that the newly designed seed tube significantly enhances seed movement speed and seeding uniformity under high-speed seeding conditions, confirming its potential application in high-precision planting.</div></div>","PeriodicalId":50627,"journal":{"name":"Computers and Electronics in Agriculture","volume":"227 ","pages":"Article 109604"},"PeriodicalIF":7.7000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and optimization of a high-speed maize seed guiding device based on DEM-CFD coupling method\",\"authors\":\"Hongsheng Li, Li Yang, Dongxing Zhang, Cui Tao, Xiantao He, Chunji Xie, Chuan Li, Zhaohui Du, Tianpu Xiao, Zhimin Li, Haoyu Wang\",\"doi\":\"10.1016/j.compag.2024.109604\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study designs a pneumatic seed delivery system for a high-speed corn planter based on the Venturi effect, aimed at improving seeding uniformity and efficiency. By utilizing an external blower to generate airflow, the seeds are accelerated within the seed tube, reducing collisions between seeds and achieving stable seed transport. The research adopts a gas–solid two-phase method to explore the effects of airflow rate and pressure on seed acceleration and delivery, revealing the principles of gas dynamics in seed transportation. DEM-CFD simulation technology, which integrates Discrete Element Method and Computational Fluid Dynamics, is employed to more accurately simulate the physical processes within the granular-fluid system, ensuring rapid acceleration and stable transport of seeds. Through response surface methodology (RSM), the structural parameters of the seed tube were optimized, identifying the main factors and optimal levels influencing seed delivery performance. Experimental results demonstrate that the newly designed seed tube significantly enhances seed movement speed and seeding uniformity under high-speed seeding conditions, confirming its potential application in high-precision planting.</div></div>\",\"PeriodicalId\":50627,\"journal\":{\"name\":\"Computers and Electronics in Agriculture\",\"volume\":\"227 \",\"pages\":\"Article 109604\"},\"PeriodicalIF\":7.7000,\"publicationDate\":\"2024-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers and Electronics in Agriculture\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0168169924009955\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Electronics in Agriculture","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168169924009955","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
Design and optimization of a high-speed maize seed guiding device based on DEM-CFD coupling method
This study designs a pneumatic seed delivery system for a high-speed corn planter based on the Venturi effect, aimed at improving seeding uniformity and efficiency. By utilizing an external blower to generate airflow, the seeds are accelerated within the seed tube, reducing collisions between seeds and achieving stable seed transport. The research adopts a gas–solid two-phase method to explore the effects of airflow rate and pressure on seed acceleration and delivery, revealing the principles of gas dynamics in seed transportation. DEM-CFD simulation technology, which integrates Discrete Element Method and Computational Fluid Dynamics, is employed to more accurately simulate the physical processes within the granular-fluid system, ensuring rapid acceleration and stable transport of seeds. Through response surface methodology (RSM), the structural parameters of the seed tube were optimized, identifying the main factors and optimal levels influencing seed delivery performance. Experimental results demonstrate that the newly designed seed tube significantly enhances seed movement speed and seeding uniformity under high-speed seeding conditions, confirming its potential application in high-precision planting.
期刊介绍:
Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.