SIMULATION TEST FOR A PUSH-TYPE PRECISION METERING DEVICE BASED ON DISCRETE ELEMENT METHOD
ABSTRACT To solve the problem of slow seed filling of soybean seeds under their own gravity, this study presents the design of a push-type precision metering device. Through a theoretical analysis, the key components and working principle of the push-type precision metering device were determined. T...
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Sociedade Brasileira de Engenharia Agrícola
2024-11-01
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| Series: | Engenharia Agrícola |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162024000100339&lng=en&tlng=en |
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| _version_ | 1850251767449649152 |
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| author | Lingyu Liu Xiangcai Zhang Xiupei Cheng Zhongcai Wei Xianliang Wang |
| author_facet | Lingyu Liu Xiangcai Zhang Xiupei Cheng Zhongcai Wei Xianliang Wang |
| author_sort | Lingyu Liu |
| collection | DOAJ |
| description | ABSTRACT To solve the problem of slow seed filling of soybean seeds under their own gravity, this study presents the design of a push-type precision metering device. Through a theoretical analysis, the key components and working principle of the push-type precision metering device were determined. The operational process was divided into two stages: dropping of seeds, and pushing of seeds. The discrete element method and a regression analysis were used to optimize the working parameters during the seed dropping stage. The optimal combination was found by the response surface optimization method, and both the seed dropping module and the whole machine were tested on a test bench with this parameter combination. The results showed that the optimal solution was obtained with a seed stirring disk speed of 17.57 r min-1, 8.8 seed stirring rods (rounded to nine), and a central arc length proportion of 3.5% in the seed entry port. The predicted number of seeds dropped into the seed discharged cylinder (Y1) under this parameter combination was 678.96, with a coefficient of variation of seed dropping uniformity (Y2) of 6.33%. The experimental results gave values for Y1 of 691.37 seeds and Y2 of 6.93%, which were close to the predicted results. |
| format | Article |
| id | doaj-art-ac380729d8484f88bae6bbc87f3f12ac |
| institution | OA Journals |
| issn | 0100-6916 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Sociedade Brasileira de Engenharia Agrícola |
| record_format | Article |
| series | Engenharia Agrícola |
| spelling | doaj-art-ac380729d8484f88bae6bbc87f3f12ac2025-08-20T01:57:49ZengSociedade Brasileira de Engenharia AgrícolaEngenharia Agrícola0100-69162024-11-014410.1590/1809-4430-eng.agric.v44e20240102/2024SIMULATION TEST FOR A PUSH-TYPE PRECISION METERING DEVICE BASED ON DISCRETE ELEMENT METHODLingyu LiuXiangcai Zhanghttps://orcid.org/0009-0003-9053-4398Xiupei ChengZhongcai WeiXianliang WangABSTRACT To solve the problem of slow seed filling of soybean seeds under their own gravity, this study presents the design of a push-type precision metering device. Through a theoretical analysis, the key components and working principle of the push-type precision metering device were determined. The operational process was divided into two stages: dropping of seeds, and pushing of seeds. The discrete element method and a regression analysis were used to optimize the working parameters during the seed dropping stage. The optimal combination was found by the response surface optimization method, and both the seed dropping module and the whole machine were tested on a test bench with this parameter combination. The results showed that the optimal solution was obtained with a seed stirring disk speed of 17.57 r min-1, 8.8 seed stirring rods (rounded to nine), and a central arc length proportion of 3.5% in the seed entry port. The predicted number of seeds dropped into the seed discharged cylinder (Y1) under this parameter combination was 678.96, with a coefficient of variation of seed dropping uniformity (Y2) of 6.33%. The experimental results gave values for Y1 of 691.37 seeds and Y2 of 6.93%, which were close to the predicted results.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162024000100339&lng=en&tlng=enDEMsingle-seedmechanical meanregression analysis |
| spellingShingle | Lingyu Liu Xiangcai Zhang Xiupei Cheng Zhongcai Wei Xianliang Wang SIMULATION TEST FOR A PUSH-TYPE PRECISION METERING DEVICE BASED ON DISCRETE ELEMENT METHOD Engenharia Agrícola DEM single-seed mechanical mean regression analysis |
| title | SIMULATION TEST FOR A PUSH-TYPE PRECISION METERING DEVICE BASED ON DISCRETE ELEMENT METHOD |
| title_full | SIMULATION TEST FOR A PUSH-TYPE PRECISION METERING DEVICE BASED ON DISCRETE ELEMENT METHOD |
| title_fullStr | SIMULATION TEST FOR A PUSH-TYPE PRECISION METERING DEVICE BASED ON DISCRETE ELEMENT METHOD |
| title_full_unstemmed | SIMULATION TEST FOR A PUSH-TYPE PRECISION METERING DEVICE BASED ON DISCRETE ELEMENT METHOD |
| title_short | SIMULATION TEST FOR A PUSH-TYPE PRECISION METERING DEVICE BASED ON DISCRETE ELEMENT METHOD |
| title_sort | simulation test for a push type precision metering device based on discrete element method |
| topic | DEM single-seed mechanical mean regression analysis |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162024000100339&lng=en&tlng=en |
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