Optimization of the Process Parameters of an Air-Screen Cleaning System for Frozen Corn Based on the Response Surface Method
The threshing of frozen corn is accompanied by breakage and adherence, which influence the cleaning performance when the corn-cleaning mixture is separated and cleaned. In order to reduce the impurity ratio and loss ratio during frozen corn cleaning and provide theoretical support for frozen corn co...
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| Format: | Article |
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MDPI AG
2021-08-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/11/8/794 |
| _version_ | 1797525043162382336 |
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| author | Ning Zhang Jun Fu Zhi Chen Xuegeng Chen Luquan Ren |
| author_facet | Ning Zhang Jun Fu Zhi Chen Xuegeng Chen Luquan Ren |
| author_sort | Ning Zhang |
| collection | DOAJ |
| description | The threshing of frozen corn is accompanied by breakage and adherence, which influence the cleaning performance when the corn-cleaning mixture is separated and cleaned. In order to reduce the impurity ratio and loss ratio during frozen corn cleaning and provide theoretical support for frozen corn combine harvesting, this study employed a self-made air-screen cleaning system with adjustable parameters. The optimal process parameters of frozen corn cleaning were determined by using the response surface method (RSM). The influences of the fan speed (FS), vibrational frequency (VF), and screen opening (SO) on the cleaning performance were explored. The results showed that all three process parameters had significant effects on the impurity ratio (IR) and loss ratio (LR). The fan speed had the most significant impact. The cleaning performance was optimal when the fan speed was 102.7 rad/s, the vibration frequency was 6.42 Hz, and the screen opening was 21.9 mm, corresponding to a 0.80% impurity ratio and a 0.61% loss ratio. The predicted values of the regression models were consistent with the experimental results with a relative error of less than 5%. The reliability and accuracy of regression models were established and confirmed. |
| first_indexed | 2024-03-10T09:06:12Z |
| format | Article |
| id | doaj.art-5548918f9fc649009aba33a98fac6d57 |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-10T09:06:12Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj.art-5548918f9fc649009aba33a98fac6d572023-11-22T06:23:48ZengMDPI AGAgriculture2077-04722021-08-0111879410.3390/agriculture11080794Optimization of the Process Parameters of an Air-Screen Cleaning System for Frozen Corn Based on the Response Surface MethodNing Zhang0Jun Fu1Zhi Chen2Xuegeng Chen3Luquan Ren4Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, ChinaKey Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, ChinaCollege of Biological and Agricultural Engineering, Jilin University, Changchun 130022, ChinaCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, ChinaKey Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, ChinaThe threshing of frozen corn is accompanied by breakage and adherence, which influence the cleaning performance when the corn-cleaning mixture is separated and cleaned. In order to reduce the impurity ratio and loss ratio during frozen corn cleaning and provide theoretical support for frozen corn combine harvesting, this study employed a self-made air-screen cleaning system with adjustable parameters. The optimal process parameters of frozen corn cleaning were determined by using the response surface method (RSM). The influences of the fan speed (FS), vibrational frequency (VF), and screen opening (SO) on the cleaning performance were explored. The results showed that all three process parameters had significant effects on the impurity ratio (IR) and loss ratio (LR). The fan speed had the most significant impact. The cleaning performance was optimal when the fan speed was 102.7 rad/s, the vibration frequency was 6.42 Hz, and the screen opening was 21.9 mm, corresponding to a 0.80% impurity ratio and a 0.61% loss ratio. The predicted values of the regression models were consistent with the experimental results with a relative error of less than 5%. The reliability and accuracy of regression models were established and confirmed.https://www.mdpi.com/2077-0472/11/8/794frozen cornfreeze adhesioncorn combine harvestercleaning performanceparameter optimization |
| spellingShingle | Ning Zhang Jun Fu Zhi Chen Xuegeng Chen Luquan Ren Optimization of the Process Parameters of an Air-Screen Cleaning System for Frozen Corn Based on the Response Surface Method Agriculture frozen corn freeze adhesion corn combine harvester cleaning performance parameter optimization |
| title | Optimization of the Process Parameters of an Air-Screen Cleaning System for Frozen Corn Based on the Response Surface Method |
| title_full | Optimization of the Process Parameters of an Air-Screen Cleaning System for Frozen Corn Based on the Response Surface Method |
| title_fullStr | Optimization of the Process Parameters of an Air-Screen Cleaning System for Frozen Corn Based on the Response Surface Method |
| title_full_unstemmed | Optimization of the Process Parameters of an Air-Screen Cleaning System for Frozen Corn Based on the Response Surface Method |
| title_short | Optimization of the Process Parameters of an Air-Screen Cleaning System for Frozen Corn Based on the Response Surface Method |
| title_sort | optimization of the process parameters of an air screen cleaning system for frozen corn based on the response surface method |
| topic | frozen corn freeze adhesion corn combine harvester cleaning performance parameter optimization |
| url | https://www.mdpi.com/2077-0472/11/8/794 |
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