ZHAN Luxin1,HE Fuqiang1,CHEN Fajiang2,TIAN Xiangzhou1,HUANG Yizhou1
(1.School of Mechanical Engineering,Guizhou University,Guiyang 550025,China; 2.Guizhou Jingmu Building Materials Co.,Ltd.,Guiyang 550025,China)
Abstract:In the production and processing of high-density wood-based fiberboards,there are problems such as unevenness,edge collapse,and material agglomeration during the laying,which result in substandard quality of the board after subsequent pressing and molding,and low production efficiency for enterprises.In order to improve the uniformity of particle mixing during the laying of the board,reduce the scrap rate of products,enhance the strength of the board,and improve production efficiency and processing quality,the discrete element simulation method is adopted,taking the laying device as the carrier,and simulating by changing three single variables,respectively,the height difference of the roller installation,the density of the comb teeth on the roller,and the number of rollers.Observing the dynamic laying effect of the material,optimizing the structural parameters of the laying device.The results show that when the height difference of the roller installation is 123 mm,the comb tooth number is 25,and the number of rollers is 6,the laying effect is the best.Through mechanical testing,it is verified that the simulation laying effect corresponds to the compressive strength of the board.After structural optimization,the strength of the board produced by the laying device can reach the highest 21 MPa,and the elastic modulus can reach the highest 6 523.22 Pa.
Keywords:discrete element simulation;paving device;structure optimization
Get Citation: ZHAN L X,HE F Q,CHEN F J,et al.Structure optimization of wood fiber paving device based on EDEM[J].China Powder Science and Technology,2023,29(3):63-71.
Received: 2022-08-27,Revised:2022-09-20,Online:2023-04-20 14:21。
Funding Project:贵州省科技计划项目,编号:[2020]2Y067。
First Author:詹璐歆(1999—),男,硕士研究生,研究方向为多体动力学。E-mail:zlx6952@163.com。
Corresponding Author:贺福强(1975—),男,副教授,硕士生导师,研究方向为多体动力学及机器视觉。E-mail:308070086@qq.com。
DOI:10.13732/j.issn.1008-5548.2023.03.006
CLC No:TU7
Type Code:A
Serial No:1008-5548(2023)03-0063-09