Application of Automated Quantitative Mineral Analysis System in Process Mineralogy of Low-grade Copper Slag
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摘要:
矿产资源高效综合利用是目前全球矿业发展的主要方向。传统的光学显微镜和扫描电镜等技术在查明许多低品位矿石的元素赋存状态等方面具有局限性，且无法提供定量化的矿物学信息，制约了对这些金属矿石选矿工艺的提升。近年来，基于扫描电镜和X射线能谱仪的矿物自动定量分析系统越来越多地应用到复杂矿石和工艺矿物学的研究中。为了进一步丰富和拓展该类系统在工艺矿物学领域的应用研究，本文利用矿物自动定量分析系统TIMA（TESCAN Integrated Mineral Analyzer）对中国某矿山低品位铜矿渣样品进行矿物学测试分析，展示其在提取多种工艺矿物学参数研究中的具体应用。分析结果表明：该铜矿渣中铜元素含量（0.08%）很低，主要赋存在黄铜矿中，该矿物含量为0.21%；脉石矿物含有大量石英（47.46%）、白云母（10.10%）和方解石（9.88%）等；黄铜矿连生关系复杂，主要以连生体形式呈不规则粒状零散分布在石英和方解石等脉石矿物中，粒度小且分布极不均匀，其中11～76μm颗粒占比较大；解离度低于30%的黄铜矿颗粒质量占全部的85%左右，整体解离度较低，因而需要进一步磨矿来提升黄铜矿回收率。以上研究表明，对于有用矿物含量低、粒度细小且嵌布关系复杂的矿石样品，包括TIMA在内的矿物分析系统能够提供快速、定量、全面且准确的工艺矿物学参数信息，有利于优化选冶流程，在提高矿产资源的综合利用方面具有非常广阔的应用前景。
Abstract:BACKGROUND The high-efficient utilization of mineral resources is the leading research aspect of global mining development. Traditional optical and scanning electron microscopy have limitations in identifying the occurrence of elements in many low-grade ores and usually cannot provide quantitative mineralogy information, hindering the improvement of mineral processing of these ores. In recent years, automated mineral quantitative analysis systems based on scanning electron microscope and X-ray energy spectrometer have been increasingly applied to study complex ore formation and process mineralogy.
OBJECTIVES To enrich and expand the application of an automated quantitative mineral analysis system in process mineralogy.
METHODS The low-grade copper slag from a copper mine in China is analyzed using the TESCAN Integrated Mineral Analyzier (TIMA).
RESULTS The results show that the content of the copper element (0.08%) in the copper slag is very low, and it is mainly distributed in chalcopyrite, which accounts for 0.21%. Gangue minerals include quartz (47.6%), muscovite (10.10%), and calcite (9.88%). Chalcopyrite usually occurs in irregular granular form and shows complex associations with the above gangue minerals. The particle size is small and variable, and the particles of 10-76μm occupy a large proportion. The mass of chalcopyrite with a liberation degree below 30% accounts for 85% of the total mass, and the overall liberation degree is low, so further grinding is needed to improve chalcopyrite recovery.
CONCLUSIONS Research shows that for the ore samples with low content of useful minerals, small particle size, and complex mineralogical associations, the automated mineral analysis system, including TIMA, can provide rapid, quantitative, comprehensive, and accurate process mineralogy parameter information, which is conducive to optimizing the ore extraction and smelting process, and has an extensive application prospect in improving the comprehensive utilization of mineral resources.
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Key words:
- TIMA /
- automated mineral quantitative analysis /
- process mineralogy /
- copper slag /
- liberation degree
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