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矿冶:2023,32(6):-
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半自磨机磨矿过程的模拟研究进展
(1.东北大学;2.矿冶过程自动控制技术国家重点实验室;3.CSIRO)
Research Progress on Simulation of Grinding Process of Semi-autogenous Mill
Rong Wenjie1, Jia Pengcheng1, Li Baokuan1, Song Tao2,3, Zhou Junwu2,3, Yuqing Feng4
(1.Northeastern University;2.State Key Laboratory of Process Automation in Mining &3.Metallurgy;4.Commonwealth Scientific and Industrial Research Organisation)
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投稿时间:2023-05-05    修订日期:2023-05-12
中文摘要: 半自磨机(SAG)凭借流程短、易操作和成本低的优势,近年来在一些大型选矿厂的磨矿环节得到了广泛应用。半自磨机磨矿过程由于矿料之间复杂的相互作用而表现出广泛的动力学特性和流体特性。 利用工业试验对磨矿过程开展研究成本高且难度大,而模拟方法能够可视化分析矿料运动特点,便于揭示并掌握磨矿过程规律。离散单元法(DEM)、光滑粒子流体动力学(SPH)和计算流体动力学(CFD)是目前主要的半自磨机磨矿过程研究方法。本文介绍了三种方法的基本原理及模型耦合过程,对比并总结了不同方法的适用性。在此基础上重点回顾了不同模拟方法对半自磨机磨矿过程中矿料运动状态和衬板磨损及优化两个方面的研究进展,并展望了未来可能的研究方向。
Abstract:Semi-autogenous mill (SAG) has been widely used in the grinding process of some large mineral processing plant in recent years due to the advantages of short flow, easy operation and low cost. The grinding process of SAG shows a wide range of dynamic and fluid characteristics due to the complex interaction between minerals. It is costly and difficult to investigate the grinding process by industrial experiment, but the simulation method can analyze the movement characteristics of ore material visually, which is convenient to reveal and master the rules of grinding process. Discrete Element Method (DEM), Smoothed Particle Hydrodynamics (SPH) and Computational Fluid Dynamics (CFD) are widely used to study the grinding process of SAG. In this paper, the basic principles and model coupling process of the three simulation methods are introduced, and the applicability of different methods is compared and summarized. On this basis, the research progress of different models on the movement state of minerals and the wear and optimization of liners in the grinding process of SAG is reviewed, and the potential research direction in the future is considered.
文章编号:20230505001     中图分类号:    文献标志码:
基金项目:国家重点研发计划项目(编号:2021YFC2902700);甘肃省科技计划项目(编号:20ZD7WC010);矿冶过程自动控制技术国家重点实验室开放基金(编号:BGRIMM-KZSKL-2020-10)。
引用文本:
荣文杰,贾鹏程,李宝宽,宋涛,周俊武,Yuqing Feng.半自磨机磨矿过程的模拟研究进展[J].矿冶,2023,32(6):.

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