nav emailalert searchbtn searchbox tablepage yinyongbenwen piczone journalimg journalInfo journalinfonormal searchdiv searchzone qikanlogo popupnotification paper paperNew
2026, 02, 64-72
基于DEM-RSM的可变振频筛机细粒分级优化及机理研究
基金项目(Foundation): 贵州工业职业技术学院博士科研启动基金资助项目(2025-rc-04);贵州工业职业技术学院校级项目(2025ZK04); 中央引导地方科技发展资金项目(2022128); 河北省高等学校科学技术研究项目(E2025209056)
邮箱(Email):
DOI: 10.20239/j.issn.1671-9492.2026.02.008
摘要:

本文采用数值计算的离散元法对可变振频的新型筛机进行了仿真分析,通过对现场筛分平台进行合理简化的建模,使用EDEM软件对颗粒微观受力变化与宏观粒群运移进行实时检测,完成了新型可变振频的筛分平台搭建与现场应用。基于Box-Behnken试验设计,采用响应曲面分析法探究了振频差、振幅和激振角三大关键参数对筛分效果的交互影响,以3D响应曲面的形式对不同参数的显著性进行了表征。通过模型显著性检验,得到各因素对筛机筛分效果的影响关系为:振频差>振幅>激振角。以筛分效率为响应值建立了可变振频筛机的回归系数方程,结合筛机在不同场景下粒群运移分布的规律,完善了物料在强振动梯度场间的透筛机理,表明了筛分参数与筛分性能存在的内部关键联系。经数值模拟与现场筛分试验验证后发现:在筛机变频差为10.07 Hz,振幅为2.53 mm,激振角为47.01°时,筛机性能最优,筛分效率可达到90.40%。本文通过对筛机各参数间的协同作用分析,重点聚焦可变频筛机在细粒物料的分级机理与粒群迁移规律分析,结合参数智能预测与现场筛分验证,为矿产资源的精深加工与利用提供了新方法。

Abstract:

In this paper,the discrete element method of numerical calculation was used to simulate and analyze the new-type screening machine with variable vibration frequency. Through the reasonable and simplified modeling of the on-site screening platform,the microscopic force change of particles and the macroscopic particle movement were detected in real time by using EDEM software,and the construction and field application of the new-type screening platform with variable vibration frequency were completed. Based on the Box-Behnken experimental design,the interaction of three key parameters,namely vibration frequency difference,amplitude and excitation angle,on the screening effect was explored by response surface analysis,and the significance of different parameters was characterized in the form of 3D response surface. Through the significance test of the model,it was found that the influence relationship of various factors on the screening effect of the screening machine was:vibration frequency difference>amplitude>excitation angle. The regression coefficient equation of variable vibration frequency screening machine was established with screening efficiency as the response value. Combining with the law of particle movement and distribution in different scenes,the screening mechanism of materials between strong vibration gradient fields was improved,which showed the internal key relationship between screening parameters and screening performance. After verification by numerical simulation and field screening test,it was found that when the frequency conversion difference of the screen was 10. 07 Hz,the amplitude was 2. 53 mm and the excitation angle was 47. 01°,the screen performance was the best,and the screening efficiency could reach 90. 40%. This paper focused on the classification mechanism and particle migration law of variable frequency screen in fine-grained materials by analyzing the synergistic effect of various parameters of the screen,and provided a new method for the deep processing and utilization of mineral resources by combining intelligent prediction of parameters and on-site screening verification.

参考文献

[1]赵环帅,唐建华,李瑞乐,等.我国振动筛智能化技术研究进展[J].化工矿物与加工,2022,51(11):38-45.ZHAO Huanshuai,TANG Jianhua,LI Ruile,et al.Research progress of vibrating screen intelligent technology in China[J]. Industrial Minerals&Processing,2022,51(11):38-45.

[2]张晋霞,王研,牛福生,等.基于EDEM与BP神经网络的平-摆筛参数化研究[J].有色金属(选矿部分),2024(1):132-142.ZHANG Jinxia,WANG Yan,NIU Fusheng,et al.Research on flat-pendulum sieve parameterization based on EDEM and BP neural network[J]. Nonferrous Metals(Mineral Processing Section),2024(1):132-142.

[3]ZHANG J X,WANG Y,NIU F S,et al. Parameterization of multi-angle shaker based on PSO-BP neural network[J]. Minerals,2023,13(7):929. DOI:10. 3390/min13070929.

[4]周治国.非均衡激振刚柔耦合弹性筛分机理与协同优化研究[D].徐州:中国矿业大学,2019.ZHOU Zhiguo. Research on mechanism and cooptimization of rigid-flexible coupling elastic screening under disequilibrium excitation[D]. Xuzhou:China University of Mining and Technology,2019.

[5]刘初升,赵跃民.弛张筛筛面动态特性及其筛分理论研究[J].煤炭学报,1998,23(4):426-430.LIU Chusheng,ZHAO Yuemin. Dynamic characteristics of flip flow screen and screening theory[J]. Journal of China Coal Society,1998,23(4):426-430.

[6]王新文,庞锟锋,于驰.改革开放以来我国振动筛分设备的发展[J].选煤技术,2019(1):37-42.WANG Xinwen,PANG Kunfeng,YU Chi.Development of the domestic vibrating screening equipment since the inception of reform and opening up[J]. Coal Preparation Technology,2019(1):37-42.

[7]武继达,刘初升,王振乾,等.弛张筛面动态特性数值模拟及参数优化[J].中南大学学报(自然科学版),2019,50(2):311-320.WU Jida,LIU Chusheng,WANG Zhenqian,et al.Numerical simulation of dynamic characteristics and parameter optimization of flip-flow screen surface[J].Journal of Central South University(Science and Technology),2019,50(2):311-320.

[8]张晋霞,牛福生.响应曲面法优化赤铁矿絮凝体浮选行为研究[J].矿产综合利用,2021,42(3):22-26,38.ZHANG Jinxia,NIU Fusheng. Optimization of flotation behavior of hematite flocs in sodium oleate system using response surface methodology[J]. Multipurpose Utilization of Mineral Resources,2021,42(3):22-26,38.

[9]黄龙.多段变倾角等厚筛运动学特性及筛分过程协同优化[D].徐州:中国矿业大学,2020.HUANG Long. Kinematic characteristics of multi stage equal thickness screen with variable inclination and cooptimization of screening process[D]. Xuzhou:China University of Mining and Technology,2020.

[10]赵啦啦.振动筛分过程的三维离散元法模拟研究[D].徐州:中国矿业大学,2010.ZHAO Lala. Simulation study on vibration screening process using 3D discrete element method[D]. Xuzhou:China University of Mining and Technology,2010.

[11]于晓东.小于6 mm细粒煤复合式干法分选特性研究[D].徐州:中国矿业大学,2017.YU Xiaodong. Study on composite dry separation characteristics of fine coal less than 6 mm[D]. Xuzhou:China University of Mining and Technology,2017.

基本信息:

DOI:10.20239/j.issn.1671-9492.2026.02.008

中图分类号:TD452

引用信息:

[1]张红梅,王研,黎春燕,等.基于DEM-RSM的可变振频筛机细粒分级优化及机理研究[J].有色金属(选矿部分),2026(02):64-72.DOI:10.20239/j.issn.1671-9492.2026.02.008.

基金信息:

贵州工业职业技术学院博士科研启动基金资助项目(2025-rc-04);贵州工业职业技术学院校级项目(2025ZK04); 中央引导地方科技发展资金项目(2022128); 河北省高等学校科学技术研究项目(E2025209056)

发布时间:

2026-01-28

出版时间:

2026-01-28

网络发布时间:

2026-01-28

检 索 高级检索

引用

GB/T 7714-2015 格式引文
MLA格式引文
APA格式引文