Effect of operating conditions on the particle size distribution and specific energy input of fine grinding in a stirred mill: Modeling cumulative undersize distribution

被引:8
|
作者
Guo, Wang [1 ]
Han, Yuexin [2 ,3 ]
Gao, Peng [2 ,3 ]
Tang, Zhidong [2 ,3 ]
机构
[1] China Univ Min & Technol, Natl Engn Res Ctr Coal Preparat & Purificat, Xuzhou 221116, Jiangsu, Peoples R China
[2] Northeastern Univ, Sch Resources & Civil Engn, Shenyang 110819, Peoples R China
[3] Natl Local Joint Engn Res Ctr High Efficient Expl, Shenyang 110819, Peoples R China
基金
中国国家自然科学基金;
关键词
Fine grinding; Stirred mill; Specific energy input; Cumulative undersize distribution; Prediction; STRESS INTENSITY; MEDIA MILLS; BREAKAGE; DRY; PREDICTION; PARAMETERS; IMPACT; WET; PERFORMANCE; MOTION;
D O I
10.1016/j.mineng.2021.107347
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Simulation of the fine or ultra-fine grinding process by Population Balance Model (PBM) has its restrictions because some coarse particles maybe disappear or the breakage rate exhibits complex non-first-order breakage kinetics during the grinding process. In this study, the influence of grinding media diameter, stirrer tip speed, media fulling rate, and powder filling rate on the uniformity of particle size distribution and specific energy input were studied in a stirred mill. The cumulative undersize distribution of ground products was simulated by the Rosin-Rammler-Benne (RRB) function, from which the parameter k and characteristic particle x(e) of the RRB function were obtained. The time-dependence of the parameter k was investigated. And, the Walker model for describing the reduction in characteristic particle x(e) with specific energy input was examined. Based on these results, combining the Walker model with the RRB function to simulate the cumulative undersize distribution of ground products. Thereby, a new cumulative undersize distribution of the prediction model was developed, which was successfully validated by the experimental data against predicted data.
引用
收藏
页数:9
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