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Design and simulation for seeding performance of high-speed inclined corn metering device based on discrete element method (DEM)
Mechanical precision corn seed-metering planter has a compact structure, missed and repeated seeding advantages during high-speed operation. In this regard, the current research study focuses on the development of a corn seed planter that features an inclined seed-metering device. The spatial layout...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653446/ https://www.ncbi.nlm.nih.gov/pubmed/36371456 http://dx.doi.org/10.1038/s41598-022-23993-1 |
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author | Jun, Guo Yue, Yang Memon, Muhammad Sohail Chuang, Tan Linyu, Wang Pei, Tang |
author_facet | Jun, Guo Yue, Yang Memon, Muhammad Sohail Chuang, Tan Linyu, Wang Pei, Tang |
author_sort | Jun, Guo |
collection | PubMed |
description | Mechanical precision corn seed-metering planter has a compact structure, missed and repeated seeding advantages during high-speed operation. In this regard, the current research study focuses on the development of a corn seed planter that features an inclined seed-metering device. The spatial layout of the seed-metering device is optimized to change the seed-filling mode to meet the needs of high-speed operation. Firstly, the mechanical characteristics and seeds in the metering device chamber were analyzed, and then the seed-filling stress model was established. Secondly, a mechanical model for corn seed particles was developed for virtual simulation tests and numerical analysis using the discrete element method (DEM) and EDEM software. Moreover, a quadratic rotating orthogonal center combination test was implemented by setting the inclination angle of seed-metering device θ(A), machine ground speed v(B), and rotation speed of metering disc n(C) as the influence factors, with the missed seeding rate M and the seed-filling stress S as the evaluation indices. The results indicated that the most significant factors affecting the missed seeding rate, seed-filling stress, S, were the rotation speed of the metering disc (n) > machine ground speed (v) > inclination angle of the metering disc (θ) and inclination angle of the metering device (θ) > rotation speed of the metering disc (n) > machine ground speed (v), respectively. However, the field verification test shows that the optimized corn seed-metering planter achieved mean values of M = 4.33, Q(qualified seeding rate) = 92.83%, and R(repeated seeding rate) = 2.84%, with average relative errors of 1.17% compared to the simulation tests and the accuracy and effectiveness of the DEM simulation model was verified. Therefore, the developed corn seed-metering device meets the industry standards and operation requirements for precise corn sowing, and technical support can be given for future studies of similar precision seeding equipment. |
format | Online Article Text |
id | pubmed-9653446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96534462022-11-15 Design and simulation for seeding performance of high-speed inclined corn metering device based on discrete element method (DEM) Jun, Guo Yue, Yang Memon, Muhammad Sohail Chuang, Tan Linyu, Wang Pei, Tang Sci Rep Article Mechanical precision corn seed-metering planter has a compact structure, missed and repeated seeding advantages during high-speed operation. In this regard, the current research study focuses on the development of a corn seed planter that features an inclined seed-metering device. The spatial layout of the seed-metering device is optimized to change the seed-filling mode to meet the needs of high-speed operation. Firstly, the mechanical characteristics and seeds in the metering device chamber were analyzed, and then the seed-filling stress model was established. Secondly, a mechanical model for corn seed particles was developed for virtual simulation tests and numerical analysis using the discrete element method (DEM) and EDEM software. Moreover, a quadratic rotating orthogonal center combination test was implemented by setting the inclination angle of seed-metering device θ(A), machine ground speed v(B), and rotation speed of metering disc n(C) as the influence factors, with the missed seeding rate M and the seed-filling stress S as the evaluation indices. The results indicated that the most significant factors affecting the missed seeding rate, seed-filling stress, S, were the rotation speed of the metering disc (n) > machine ground speed (v) > inclination angle of the metering disc (θ) and inclination angle of the metering device (θ) > rotation speed of the metering disc (n) > machine ground speed (v), respectively. However, the field verification test shows that the optimized corn seed-metering planter achieved mean values of M = 4.33, Q(qualified seeding rate) = 92.83%, and R(repeated seeding rate) = 2.84%, with average relative errors of 1.17% compared to the simulation tests and the accuracy and effectiveness of the DEM simulation model was verified. Therefore, the developed corn seed-metering device meets the industry standards and operation requirements for precise corn sowing, and technical support can be given for future studies of similar precision seeding equipment. Nature Publishing Group UK 2022-11-12 /pmc/articles/PMC9653446/ /pubmed/36371456 http://dx.doi.org/10.1038/s41598-022-23993-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Jun, Guo Yue, Yang Memon, Muhammad Sohail Chuang, Tan Linyu, Wang Pei, Tang Design and simulation for seeding performance of high-speed inclined corn metering device based on discrete element method (DEM) |
title | Design and simulation for seeding performance of high-speed inclined corn metering device based on discrete element method (DEM) |
title_full | Design and simulation for seeding performance of high-speed inclined corn metering device based on discrete element method (DEM) |
title_fullStr | Design and simulation for seeding performance of high-speed inclined corn metering device based on discrete element method (DEM) |
title_full_unstemmed | Design and simulation for seeding performance of high-speed inclined corn metering device based on discrete element method (DEM) |
title_short | Design and simulation for seeding performance of high-speed inclined corn metering device based on discrete element method (DEM) |
title_sort | design and simulation for seeding performance of high-speed inclined corn metering device based on discrete element method (dem) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653446/ https://www.ncbi.nlm.nih.gov/pubmed/36371456 http://dx.doi.org/10.1038/s41598-022-23993-1 |
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