基于RF的振动筛颗粒松散与分层分析  被引量:2

Analysis of vibrating screen particle looseness and stratification based on RF

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作  者:赵嘉乐 童昕[1,2] 李占福[2,3] 崔德海 ZHAO Jiale;TONG Xin;LI Zhanfu;CUI Dehai(College of Mechanical Engineening and Automation, Huaqiao University, Xiamen 361021, China;Fujian Province CNC Equipment Industry Research Institute, Fujian University of Technology, Fuzhou 350118, China;CSCES strait Constraction and Developmand Co., Ltd., Fuzhou 350000, China)

机构地区:[1]华侨大学机电及自动化学院,福建厦门361021 [2]福建工程学院福建省数控装备产业研究院,福建福州350118 [3]中建海峡建设发展有限公司,福建福州350000

出  处:《福建工程学院学报》2022年第3期244-250,共7页Journal of Fujian University of Technology

基  金:福建省自然基金面上项目(2020J01870);福州市科技局项目(2020-GX-16)。

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。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.

关 键 词:振动筛 随机森林算法 松散 分层 参数优化 

分 类 号:TD452[矿业工程—矿山机电]

 

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