中南大学学报（自然科学版）2025，Vol.56Issue(6)：2149-2156,8.DOI:10.11817/j.issn.1672-7207.2025.06.001
基于DEM-CFD的半自磨过程矿石碰撞能量分析
Analysis of collision energy of semi-autogenous mills with different ore grades based on DEM-CFD
摘要
Abstract
To explore the energy utilization patterns of different grade ores under dry and wet grinding conditions in semi-autogenous mills,a coupled simulation model of wet semi-autogenous grinding processes was established based on the discrete element method(DEM)and computational fluid dynamics(CFD).The motion states and collision energy distributions of different grade ores under dry and wet grinding conditions were compared and analyzed.The results show that at ore grades of 30％,35％,and 40％,the tangential and normal energy utilization rates of wet and dry semi-autogenous grinding processes show a downward trend as the grade increases.In wet semi-autogenous grinding,due to the presence of a liquid medium,the grinding and peeling action between particles is reduced,while the impact force transmission effect is enhanced,at ore grades of 30％,35％,and 40％,resulting in the tangential energy utilization rate being 2.30％,2.87％,and 3.51％lower than that of dry grinding,respectively.The normal energy utilization rate increases by 2.08％,2.42％,and 2.68％,respectively.This paper reveals the mechanism of interaction between ore grade,liquid medium,and ore energy utilization,and provides theoretical basis for process optimization and energy conservation in semi-autogenous grinding production.关键词
半自磨机/离散元法/计算流体力学/矿石品位/碰撞能量分布Key words
semi-autogenous mill/discrete element method/computational fluid dynamics/ore grade/collision energy distribution分类
矿业与冶金引用本文复制引用
丁文浩,李卓睿,曾尧,马军,粟立静..基于DEM-CFD的半自磨过程矿石碰撞能量分析[J].中南大学学报（自然科学版）,2025,56(6):2149-2156,8.基金项目
云南省重大科技专项项目(202202AD080005) （202202AD080005）
云南省基础研究计划项目(202401AW070014,202401BN070001-007)(Project(202202AD080005)supported by the Science and Technology Major Program of Yunnan Province （202401AW070014,202401BN070001-007）
Projects(202401 AW070014,202401BN070001-007)supported by the Basic Research Program of Yunnan Province) （202401 AW070014,202401BN070001-007）
