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作 者:袁程方 赖俊全 余超 黄伟生[3] 谢加文 吴彩斌[1,2] YUAN Chengfang;LAI Junquan;YU Chao;HUANG Weisheng;XIE Jiawen;WU Caibin(School of Resource and Environmental Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,Jiangxi,China;Jiangxi Provincial Key Laboratory of Mining Engineering,Ganzhou 341000,Jiangxi,China;Hunan Shizhuyuan Nonferrous Metal Co.,Ltd.,Chenzhou 423037,Hunan,China)
机构地区:[1]江西理工大学资源与环境工程学院,江西赣州341000 [2]江西省矿业工程重点实验室,江西赣州341000 [3]湖南柿竹园有色金属有限责任公司,湖南郴州423037
出 处:《中国钨业》2022年第5期32-37,共6页China Tungsten Industry
基 金:国家十四五重点研发计划子课题(2022YFC2905103)。
摘 要:本文以湖南柿竹园公司钨矿石为研究对象,计算其实验室批次瓷球和钢球磨矿产品动力学模型,与钢球进行比较并验证该预测模型的准确性。试验结果表明,瓷球磨矿与钢球磨矿相比,粒度较大颗粒(+0.15 mm)破碎速率明显低于钢球,对粗粒级钨矿石的破碎具有局限性;细粒级的零阶产出特征结果表明,瓷球磨矿已经改变了钨矿石碎裂特征,a值较钢球磨矿降低0.15,其破碎主要作用力由法向冲击力改为切向研磨力,可以有效避免贯穿破碎,降低次生细泥生成;钨矿石瓷球磨矿动力学特征趋向于一阶磨矿动力学模型,其模型方程式为R=R_(0)e(-(0.027+11.85d^(1.93)))t分布,试验结果说明该模型对钨矿石的动力学模拟较为准确,可以用来预测各磨矿时间下磨矿产品的粒度特性。In this paper,the kinetic models of the ceramic ball and steel ball grinding products in the laboratory batch were calculated for Hunan Shizhuyuan Company's tungsten ore,compared with steel balls and verified the accuracy of this prediction model.The test results show that compared with steel ball grinding,the breakage rate of larger particle size(+0.15 mm)in ceramic ball grinding is significantly lower,which has limitations on the crushing of coarse tungsten ore.The results of the zero-order output characteristics of the fine-grained tungsten ore show that ceramic ball grinding has changed the tungsten ore fragmentation characteristics,with“a value”0.15 lower than that of steel ball grinding.The main force of its crushing is changed from normal impact force to tangential grinding force,which can effectively avoid penetration crushing and reduce secondary fine mud generation.The dynamic characteristics of ceramic ball grinding for tungsten ore tend to be the first-order grinding kinetic model,whose model equation is𝑅=𝑅0𝑒−(0.027+11.85𝑑1.93)𝑡distribution.The epperimental results indicate that the model is more accurate for the dynamic simulation of tungsten ore and can be used to predict the particle size characteristics of the grinding products under different grinding time.
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