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基于离散元的SGJL型滚轴筛优化设计 被引量:1

Optimized Design of SGJL Roller Sieves Based on Discrete Elements
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摘要 基于离散元法研究滚轴筛设备参数对筛分过程的影响,构建离散元仿真模型,采用控制变量法研究筛片结构、筛轴转速、筛面倾角对筛分效率和设备生产能力的影响规律;采用正交实验优化滚轴筛设备参数,以筛分效率为实验指标,设计筛片结构、筛轴转速、筛面倾角和颗粒含水率的3水平4因素的正交实验。研究结果表明:椭圆形筛片结构的筛分效率最高,筛分效率随筛轴转速的增加逐渐降低,随筛面倾角的增加小幅度降低;筛片结构椭圆形、筛面倾角8°、筛轴转速70 r/min、颗粒含水率10%的参数组合为筛分效率最高的组合。对筛分效率最高的组合进行实际筛分试验,提高了滚轴筛筛分效率。 Based on the discrete element method,the influenceofroller screen equipment parameters on the screening process was studied.A discrete element simulation model is constructed,and the influence of sieve structure,sieve shaft speed and sieve inclination angle on sieve efficiency and equipment production capacity is studied by using control variable method.The orthogonal experiment is used to optimize the parameters of the roller sieve equipment,and the sieve efficiency is taken as the experimental index,and the orthogonal experiment of three levels and four factors of sieve structure,sieve shaft speed,sieve surface inclination and particle moisture content is designed.The results show that the screening efficiency of the elliptical sieve structure is the highest,and the sieve efficiency gradually decreases with the increase of the sieve shaft speed,and decreases slightly with the increase of the inclination angle of the sieve surface.The combination of the parameters of the elliptical structure of the sieve piece,the inclination angle of the sieve surface of 8°,the speed of the sieve shaft of 70 r/min,and the moisture content of the particles is 10%for the highest sieving efficiency.The actual screening test is carried out on the combination with the highest screening efficiency,which improves the screening efficiency of the roller screen.
作者 于涛 陈宝鑫 朱宁伟 张启明 张鑫 YU Tao;CHEN Baoxin;ZHU Ningwei;ZHANG Qiming;ZHANG Xin(School of Mechanical and Electronic Engineering,Shandong University of Science and Technology,Qingdao 266590,China)
出处 《煤炭技术》 CAS 北大核心 2023年第9期203-206,共4页 Coal Technology
基金 国家自然科学基金项目(52174146)。
关键词 滚轴筛 优化设计 离散元 roller screens optimize the design discrete elements
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