Model Study on the Combination of Operating Parameters of Corn Kernel Harvesters
This study analyzed the engine operating condition curve of the corn kernel harvester. Field experiments identified the feed rate, concave clearance, and cylinder speed as the main factors affecting operating quality and efficiency. A ternary quadratic regression orthogonal center-of-rotation combin...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/21/10328 |
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| author | Deyi Zhou Chongbin Xu Yuelin Xin Pengfei Hou Baoguang Wu Haiye Yu Jinsong Zhang Qiang Zhang |
| author_facet | Deyi Zhou Chongbin Xu Yuelin Xin Pengfei Hou Baoguang Wu Haiye Yu Jinsong Zhang Qiang Zhang |
| author_sort | Deyi Zhou |
| collection | DOAJ |
| description | This study analyzed the engine operating condition curve of the corn kernel harvester. Field experiments identified the feed rate, concave clearance, and cylinder speed as the main factors affecting operating quality and efficiency. A ternary quadratic regression orthogonal center-of-rotation combined optimization test method was used to determine the feed rate, cylinder speed, and concave clearance as the influencing factors, and the engine speed variation rate, crushing rate, impurity rate, loss rate, and cylinder speed variation rate as the objective functions. A mathematical regression model was developed for the combination of operating quality indicators, efficiency indicators, and operating parameters of the corn kernel harvester. A non-linear optimization method was used to optimize the parameters of each influencing factor. The results showed that with a feed rate of 12 kg/s, a forward speed of 5 km/h, a cylinder speed of 360 r/min, and a concave clearance of 30 mm, the average crushing rate was 3.91%, the average impurity rate was 1.71%, and the kernel loss rate was 3.1%. This model could be used for the design and development of intelligent control systems. |
| first_indexed | 2024-03-10T06:06:45Z |
| format | Article |
| id | doaj.art-a221f24de0fb45baaa36c8688cd62b86 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T06:06:45Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-a221f24de0fb45baaa36c8688cd62b862023-11-22T20:31:09ZengMDPI AGApplied Sciences2076-34172021-11-0111211032810.3390/app112110328Model Study on the Combination of Operating Parameters of Corn Kernel HarvestersDeyi Zhou0Chongbin Xu1Yuelin Xin2Pengfei Hou3Baoguang Wu4Haiye Yu5Jinsong Zhang6Qiang Zhang7The College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130025, ChinaThe College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130025, ChinaThe College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130025, ChinaThe College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130025, ChinaThe College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130025, ChinaThe College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130025, ChinaThe College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130025, ChinaThe College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130025, ChinaThis study analyzed the engine operating condition curve of the corn kernel harvester. Field experiments identified the feed rate, concave clearance, and cylinder speed as the main factors affecting operating quality and efficiency. A ternary quadratic regression orthogonal center-of-rotation combined optimization test method was used to determine the feed rate, cylinder speed, and concave clearance as the influencing factors, and the engine speed variation rate, crushing rate, impurity rate, loss rate, and cylinder speed variation rate as the objective functions. A mathematical regression model was developed for the combination of operating quality indicators, efficiency indicators, and operating parameters of the corn kernel harvester. A non-linear optimization method was used to optimize the parameters of each influencing factor. The results showed that with a feed rate of 12 kg/s, a forward speed of 5 km/h, a cylinder speed of 360 r/min, and a concave clearance of 30 mm, the average crushing rate was 3.91%, the average impurity rate was 1.71%, and the kernel loss rate was 3.1%. This model could be used for the design and development of intelligent control systems.https://www.mdpi.com/2076-3417/11/21/10328corn kernel harvestersparameter combination modeloperating qualityoperating efficiency |
| spellingShingle | Deyi Zhou Chongbin Xu Yuelin Xin Pengfei Hou Baoguang Wu Haiye Yu Jinsong Zhang Qiang Zhang Model Study on the Combination of Operating Parameters of Corn Kernel Harvesters Applied Sciences corn kernel harvesters parameter combination model operating quality operating efficiency |
| title | Model Study on the Combination of Operating Parameters of Corn Kernel Harvesters |
| title_full | Model Study on the Combination of Operating Parameters of Corn Kernel Harvesters |
| title_fullStr | Model Study on the Combination of Operating Parameters of Corn Kernel Harvesters |
| title_full_unstemmed | Model Study on the Combination of Operating Parameters of Corn Kernel Harvesters |
| title_short | Model Study on the Combination of Operating Parameters of Corn Kernel Harvesters |
| title_sort | model study on the combination of operating parameters of corn kernel harvesters |
| topic | corn kernel harvesters parameter combination model operating quality operating efficiency |
| url | https://www.mdpi.com/2076-3417/11/21/10328 |
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