| 基于RF的振动筛颗粒松散与分层分析 |
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| 引用本文： | 赵嘉乐,童昕,李占福,崔德海.基于RF的振动筛颗粒松散与分层分析[J].福建工程学院学报,2022,0(3):244-250. |
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| 作者姓名： | 赵嘉乐 童昕 李占福 崔德海 |
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| 作者单位： | 华侨大学 |
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| 摘 要： | 分别定义了松散指数和分层指数描述物料松散和分层的优劣情况，并与筛机参数进行建模分析，得到振动参数对物料的松散和分层具有较大的影响权重，分析了振动参数对松散指数和分层指数的影响规律。利用布谷鸟寻优算法对松散指数和分层指数进行双目标优化，寻求能同时满足较优松散效果和分层效果的参数组合。寻优所得的筛机参数组合为:振动频率20 Hz，振动幅度2.5 mm，振动方向角18°，筛网倾角18°，筛网长度160 mm，筛孔尺寸1.0 mm，筛丝直径0.8 mm。
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| 关 键 词： | 振动筛 随机森林算法 松散 分层 参数优化 |
Analysis of vibrating screen particle looseness and stratification based on RF |
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| ZHAO Jiale,TONG Xin,LI Zhanfu,CUI Dehai.Analysis of vibrating screen particle looseness and stratification based on RF[J].Journal of Fujian University of Technology,2022,0(3):244-250. |
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| Authors: | ZHAO Jiale TONG Xin LI Zhanfu CUI Dehai |
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| Institution: | College of Mechanical Engineening and Automation, Huaqiao University |
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| Abstract: | The looseness index and stratification index were defined respectively to describe the advantages and disadvantages of the looseness and stratification of materials, and modeling analysis was conducted for these indexes together with the vibration screen parameters. Results show that the vibration parameters have a greater influence on the looseness index and stratification index. The influence of vibration parameters on the looseness index and stratification index was analyzed. The cuckoo search algorithm was used to optimize both the looseness index and the stratification index, so as to find a parameter combination that can satisfy a better looseness effect and stratification effect at the same time. Optimization of the screen machine parameters are: vibration frequency is 20Hz, vibration amplitude is 2.5mm, vibration direction angle is 18°, screen surface inclination angle is 18°, screen length is 160mm, screen hole size is 1.0mm, screen diameter is 0.8mm. |
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| Keywords: | vibrating screen random forest algorithm loosening stratification parameter optimization |
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