Optimization of the Fluted Force-Feed Seeder Meter with the Helical Roller Using the Discrete Element Method and Response Surface Analysis
The seed metering process of a fluted force-feed seeder was simulated using the Discrete Element Method and its parameters optimized using the Box–Behnken Design of Experiments and the Response Surface Method. The rotational speed of the feed roller, the lead (helix) angle of the flutes, and the num...
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MDPI AG
2023-07-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/13/7/1400 |
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| author | Jianxiao Wang Wei Sun Petru Aurelian Simionescu Yuanjin Ju |
| author_facet | Jianxiao Wang Wei Sun Petru Aurelian Simionescu Yuanjin Ju |
| author_sort | Jianxiao Wang |
| collection | DOAJ |
| description | The seed metering process of a fluted force-feed seeder was simulated using the Discrete Element Method and its parameters optimized using the Box–Behnken Design of Experiments and the Response Surface Method. The rotational speed of the feed roller, the lead (helix) angle of the flutes, and the number of flutes were the independent variables, while the response value was the seeding uniformity index. Two regression models were investigated, and the following conclusions drawn. For the flute lead angle between 0 and 10 degrees, and the number of flutes between 10 and 14, it was found that the number of flutes and the lead angle influenced the seeding performance the most, with the order of importance being the (i) number of flutes, (ii) lead angle and (iii) roller speed. For the flute lead angle between 5 and 15 degrees, and the number of flutes between 12 and 16, it was found that the roller speed and the number of flutes influenced the seeding performance the most, with the order of importance being the (i) roller speed, (ii) number of flutes and (iii) flute lead angle. The two regression models were then minimized for the seeding uniformity index and the corresponding optima verified experimentally on a conveyor belt test stand fitted with an image recognition system. |
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| id | doaj.art-646e80f50a5c4014a4095a0a2852c93f |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-11T01:24:28Z |
| publishDate | 2023-07-01 |
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| series | Agriculture |
| spelling | doaj.art-646e80f50a5c4014a4095a0a2852c93f2023-11-18T17:53:19ZengMDPI AGAgriculture2077-04722023-07-01137140010.3390/agriculture13071400Optimization of the Fluted Force-Feed Seeder Meter with the Helical Roller Using the Discrete Element Method and Response Surface AnalysisJianxiao Wang0Wei Sun1Petru Aurelian Simionescu2Yuanjin Ju3College of Mechano-Electronic Engineering, Gansu Agricultural University, Lanzhou 730070, ChinaCollege of Mechano-Electronic Engineering, Gansu Agricultural University, Lanzhou 730070, ChinaCollege of Engineering, Texas A&M University Corpus Christi, Corpus Christi, TX 78412, USACollege of Mechano-Electronic Engineering, Gansu Agricultural University, Lanzhou 730070, ChinaThe seed metering process of a fluted force-feed seeder was simulated using the Discrete Element Method and its parameters optimized using the Box–Behnken Design of Experiments and the Response Surface Method. The rotational speed of the feed roller, the lead (helix) angle of the flutes, and the number of flutes were the independent variables, while the response value was the seeding uniformity index. Two regression models were investigated, and the following conclusions drawn. For the flute lead angle between 0 and 10 degrees, and the number of flutes between 10 and 14, it was found that the number of flutes and the lead angle influenced the seeding performance the most, with the order of importance being the (i) number of flutes, (ii) lead angle and (iii) roller speed. For the flute lead angle between 5 and 15 degrees, and the number of flutes between 12 and 16, it was found that the roller speed and the number of flutes influenced the seeding performance the most, with the order of importance being the (i) roller speed, (ii) number of flutes and (iii) flute lead angle. The two regression models were then minimized for the seeding uniformity index and the corresponding optima verified experimentally on a conveyor belt test stand fitted with an image recognition system.https://www.mdpi.com/2077-0472/13/7/1400wheat seederfluted force-feed seederdiscrete element methodresponse surface analysisnumerical optimization |
| spellingShingle | Jianxiao Wang Wei Sun Petru Aurelian Simionescu Yuanjin Ju Optimization of the Fluted Force-Feed Seeder Meter with the Helical Roller Using the Discrete Element Method and Response Surface Analysis Agriculture wheat seeder fluted force-feed seeder discrete element method response surface analysis numerical optimization |
| title | Optimization of the Fluted Force-Feed Seeder Meter with the Helical Roller Using the Discrete Element Method and Response Surface Analysis |
| title_full | Optimization of the Fluted Force-Feed Seeder Meter with the Helical Roller Using the Discrete Element Method and Response Surface Analysis |
| title_fullStr | Optimization of the Fluted Force-Feed Seeder Meter with the Helical Roller Using the Discrete Element Method and Response Surface Analysis |
| title_full_unstemmed | Optimization of the Fluted Force-Feed Seeder Meter with the Helical Roller Using the Discrete Element Method and Response Surface Analysis |
| title_short | Optimization of the Fluted Force-Feed Seeder Meter with the Helical Roller Using the Discrete Element Method and Response Surface Analysis |
| title_sort | optimization of the fluted force feed seeder meter with the helical roller using the discrete element method and response surface analysis |
| topic | wheat seeder fluted force-feed seeder discrete element method response surface analysis numerical optimization |
| url | https://www.mdpi.com/2077-0472/13/7/1400 |
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