摘要
我国钨矿资源具有优质资源消耗快、低品位矿石占比多的特点。近几年,随着优质钨矿资源储量的日益减少,低品位和复杂难选矿石的经济开发和高效利用愈发迫切。如何合理选择和利用预选抛废技术是实现钨矿绿色开发、高效分选的关键。分析了钨矿预选抛废的必要性,详细阐述了人工拣选、重选法预选、磁选法预选以及智能光电预选的技术原理和特点,总结了钨预选抛废的研究与应用进展。分析认为,矿石性质、粒度分布等条件是选择适宜预选方法的关键;工艺及设备的优化和改进是今后传统预选方法的重要研究方向;智能光电预选会成为未来钨矿预选的热门选择。最后对钨矿预选未来的发展进行了总结和展望,以期为未来钨矿预选抛废技术的研究和应用提供参考。
Tungsten ore resources in China are characterized by the rapid consumption of high-quality resources and the high proportion of low-grade ores.In recent years,with the decrease in high-quality tungsten ore resources,it becomes more and more urgent to economically explore the low-grade and refractory ores.How to preconcentrate and discard waste is the key to realizing efficient beneficiation of tungsten ores.To this end,the necessity of preconcentration and waste disposal was first addressed,then the principles and characteristics of hand sorting,gravity preconcentration,magnetic separation,and sensor-based sorting were recognized.Also,the development of preconcentration and waste disposal of tungsten ores was summarized.Results indicated that ore properties and particle size distribution played crucial roles when selecting suitable preconcentration methods,an important trend was to optimize and improve the traditional technologies,and intelligent sensor-based sorting would be a promising option in the preconcentration of tungsten ores in the future.Finally,the development of tungsten preconcentration was summarized and outlooked,providing a reference for the research and application of the preconcentration technologies of tungsten ores.
作者
李思佑
李丽匣
张宏亮
晏丽鑫
张晨
LI Siyou;LI Lixia;ZHANG Hongliang;YAN Lixin;ZHANG Chen(College of Resources and Civil Engineering,Northeastern University,Shenyang 110819,Liaoning,China;Ganzhou Best Friend Technology Co.,LTD.,Ganzhou 341000,Jiangxi,China;Beijing Research Institute of Chemical Engineering and Metallurgy,Beijing 101149,China)
出处
《矿产保护与利用》
2023年第3期89-95,共7页
Conservation and Utilization of Mineral Resources
基金
国家重点研发计划(2022YFC2903802)。
关键词
钨矿
预选抛废
重选
磁选
智能光电预选
tungsten ore
preconcentration and waste disposal
gravity
magnetic separation
intelligent photoelectric preconcentration