JKSimMet模拟软件在某金矿磨矿分级系统多目标协同优化中的应用  

The Application of JKSimMet Software in the Multi-objective Collaborative Optimization of the Grinding and Classification System at a Gold Mine

作　　者：龚道振[1,2] 王培龙 孙春宝[1,2] 寇珏 张瑞洋[1,2] 胡阳[1,2] GONG Daozhen;WANG Peilong;SUN Chunbao;KOU Jue;ZHANG Ruiyang;HU Yang(Key Laboratory of Ministry of Education of China for Efficient Mining and Safety of Metal Mines,University of Science and Technology Beijing,Beijing 100083,China;School of Civil and Resource Engineering,University of Science and Technology Beijing,Beijing 100083,China)

机构地区：[1]北京科技大学金属矿山高效开采与安全教育部重点试验室,北京100083 [2]北京科技大学土木与资源工程学院,北京100083

出　　处：《矿产保护与利用》2020年第1期99-104,共6页Conservation and Utilization of Mineral Resources

基　　金：矿物加工科学与技术国家重点试验室开放研究基金资助项目(BGRIMM-KJSKL-2015-05)。

摘　　要：为了实现某金矿选厂的提产增效和节能降耗,采用JKSimMet模拟软件对该金矿的磨矿分级系统进行了多目标协同优化。采取的优化措施包括降低磨矿分级系统给矿粒度,调整球磨机和旋流器的关键工艺参数和增加粗磨旋流器底流给入再磨球磨机的比例。JKSimMet模拟结果显示,优化后磨矿分级系统的处理能力由35 t/h提升至44 t/h;粗磨比能耗从11.09 kWh/t降低至9.94 kWh/t,中矿再磨比能耗从9.93 kWh/t降低至7.23 kWh/t;粗磨产品细度P80从86μm减小至80μm。通过对整个磨矿分级系统各工艺参数的协同优化,增加了磨矿分级系统的处理能力,降低了磨矿比能耗,并且提高了磨矿产品的质量,达到了多目标优化的目的。The grinding and classification system at a gold mine was optimized using JKSimMet software in order to increase the throughput and reduce the energy consumption of the concentrator.The optimization measures taken include reducing the feed size of the grinding circuit,adjusting the key process parameters of the ball mill and cyclone,and increasing the proportion from the coarse grinding circuit to the regrinding mill.The simulation results showed that some indicators had been improved after optimization.The processing capacity of the grinding classification system was increased from 35 t/h to 44 t/h.The specific energy consumption of the coarse grinding circuit reduced from 11.09 kWh/t to 9.94 kWh/t.The specific energy consumption of the middling regrinding circuit reduced from 9.93 kWh/t to 7.23 kWh/t,and the P80 of the coarse grinding product reduced from 86μm to 80μm.The multi-objective optimization of the grinding products which included the improvement of processing capacity of the grinding classification system as well as the quality of the grinding products and the reduction of grinding specific energy consumption were achieved by the collaborative optimization of various process parameters of the entire grinding and the classification system.

关 键 词：JKSimMet 磨矿分级 金矿 多目标协同优化 

分 类 号：TD921.4[矿业工程—选矿]