Transactions of Nonferrous Metals Society of China The Chinese Journal of Nonferrous Metals

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中国有色金属学报

ZHONGGUO YOUSEJINSHU XUEBAO

第31卷    第8期    总第269期    2021年8月

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文章编号:1004-0609(2021)-08-2258-11
基于落重试验的离散元多颗粒黏结建模技术
王 晓1, 2,薛玉君1, 2,刘 俊3,杨纪昌3,邹声勇3,Zhiqiang GUAN4,李济顺1, 2

(1. 河南科技大学 机电工程学院,洛阳 471003;
2. 河南省机械设计及传动系统重点实验室(河南科技大学),洛阳 471003;
3. 矿山重型装备国家重点实验室(中信重工机械股份有限公司),洛阳 471003;
4. School of Mechanical and Mining Engineering, University of Queensland, Brisbane 4072, Australia
)

摘 要: 确定磨矿工艺参数以保证最佳的物料粒度分布是近年来矿物加工研究的热点,而矿物加工过程的物料粒度控制是提高选矿效率的关键。离散元法(DEM)仿真是研究物料破碎过程的有效方法,物料模型的构建对离散元仿真结果有显著影响。本文基于物料落重试验,提出了离散元仿真用多颗粒黏结模型关键参数颗粒组成和颗粒间黏结键参数值的设置方法。应用该方法对单块矿石进行了多颗粒黏结建模,通过离散元仿真冲击破碎过程,得到了单块矿石的破碎粒度分布。离散元仿真结果与落重试验得到的破碎粒度分布具有良好的一致性,表明该建模技术可以表征矿石物料的破碎特性,为破磨过程仿真提供了一种有效的物料建模方法。

 

关键字: 物料破碎;落重试验;颗粒粒度;离散元仿真;多颗粒黏结模型

DEM multi-particle bonding modeling based on drop weight test
WANG Xiao1, 2, XUE Yu-jun1, 2, LIU Jun3, YANG Ji-chang3, ZOU Sheng-yong3,Zhiqiang GUAN4, LI Ji-shun1, 2

1. School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, China;
2. Henan Key Laboratory for Machinery Design and Transmission System, Henan University of Science and Technology, Luoyang 471003, China;
3. State Key Laboratory of Mining Heavy Equipment, CITIC Heavy Industries CO., LTD., Luoyang 471003, China;
4. School of Mechanical and Mining Engineering, University of Queensland, Brisbane 4072, Australia

Abstract:In recent years, research has been focused on the proper parameter selection of ore grinding technology to achieve an optimal distribution of particle size. The control of particle size in mineral processing plays a significant role in improving mineral separation efficiency. Discrete element method (DEM) has been approved to be an effective numerical simulation to study the process of mineral crushing. However, the accuracy of the DEM simulation is highly depended on the mathematical models used. In this paper, methodologies of predicting particle sizes and inter-particle bond energy were proposed based on the drop weight test carried in the laboratory. Particle sizes and inter-particle bond energy are the key parameters for multi-particle bonding model used in discrete element simulation. The predicted results were applied to construct the multi-particle bonding model for a single block of ore, and its particle size distribution was obtained by simulating the impact crushing process with discrete elements method. The particle size distributions from both the DEM simulation and the falling weight test are in good agreement, which indicates that the modeling technique proposed in this paper can represent the crushing characteristics of ore materials.

 

Key words: particle breakage; drop weight test; particle size; discrete element simulation; multi-particle bonding model

ISSN 1004-0609
CN 43-1238/TG
CODEN: ZYJXFK

ISSN 1003-6326
CN 43-1239/TG
CODEN: TNMCEW

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