ISSN 1008-5548

CN 37-1316/TU

Journal Online  2021 Vol.27
<Go BackNo.2

Optimal grain size based on broken Markov chain model

JIANG Zhihong1, LI Heng1, JIANG Xiaofeng1, LIU Gangxiang2

(1. School of Mechanical and Electrical Engineering, Jiangxi University of Science and Technology,Ganzhou 341000, China;2.Chalco Mining Henan Branch, Zhengzhou 450000, China)

Abstract: According to the working condition requirements of the crushing and grinding stage in the sample preparation, which the particle size of the original ore was between 10~<50 mm, the final particle size of the grinding is <0.074 mm, and the pass rate P0.074 must reach more than 90%, combined with the traditional 2C-HPGRB and Markov theory, a two-stage fully closed circuit broken Markov chain model was established, and then the crushing process program was optimized, taking tungsten sample as an example.The results show that 3 jaw breaks, 2 roll breaks return to ore and 40 min ore grinding are the best way to prepare a kind of tungsten ore sample, and the corresponding optimal grinding particle size is <0.5 mm.

Keywords: crushing; grinding size; sample preparation process; Markov chain; Markov theory; jaw break; roll break

中图分类号:TD95

文献标志码:A

文章编号:1008-5548(2021)02-0009-08

DOI:10.13732/j.issn.1008-5548.2021.02.002

收稿日期: 2020-09-07, 修回日期:2020-10-06,在线出版时间:2020-12-22 16:09。

基金项目:国家自然科学基金项目,编号:51464017。

第一作者简介:姜志宏(1977—),男,副教授,硕士生导师,研究方向为机械系统动力学。E-mail: 272235681@qq.com。

通信作者简介:李恒(1995—),男,硕士研究生,研究方向为矿山机械矿物加工。E-mail: 841878546@qq.com。