设计和测试了Nkana铜/钴选矿厂磨矿电路取样的代表性取样器

P. Chibwe, S. Simukanga, L. Witika, P. Chisanga, M. Powell
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引用次数: 1

摘要

任何矿石加工方法的首要目标都是为经济有效地提取有价矿物而准备矿石。铣削电路是非常能源密集型的,使得它们非常昂贵的操作,优化它们的操作是非常相关的,以经济上可行。因此,它们的设计是非常关键的,这只能通过采用新的控制策略来提高能源利用率来实现。赞比亚联合铜矿有限公司(ZCCM)的Nkana矿选矿厂一直在为各种矿石确定最佳磨矿网,以实现钴矿物与铜矿物的有效分离方面遇到问题。这促使设计和测试有代表性的取样器取样在Nkana选矿厂的磨粉电路。在采样器的设计中,使用了Gy公式来确定要从各种工艺流程中提取的样品的最小重量。对各流的粒径分布进行分析,确定各流中最大颗粒的粒径。在理论和实际应用的基础上设计了采样器,并在正常采样器宽度开度中建立了3个因子。这使得整个流有相同的机会进入采样器。进行取样活动的研磨回路包括一个2.7米× 3.6米(9英尺,12英尺)的开路棒磨机和一个760mm(30英寸)的水力旋流器,该旋流器在封闭回路中与一个与棒磨机相同尺寸的球磨机组成。采用适当的采样技术,以等间隔的间隔完成一个完整的班次,从进料到棒磨机、棒磨机出料、旋风下流(进料到球磨机)、球磨机出料和旋风溢流中采集样本。只有在确定工厂达到稳态运行时才开始取样。建立了重要的操作参数,包括物料到棒磨机的吞吐量,磨矿回路中流的纸浆密度,流的粒度分布,流的体积流速和加入稀释水的速率。这些参数随后被用来进行质量平衡,使用的是由澳大利亚昆士兰大学Julius Kruttschnitt矿物研究中心开发的一种名为JKSimMet的矿物加工模拟软件。模拟器可以用来预测可能的替代方案,以优化电路性能和物理修改,这可以自信地对工厂进行。测量参数与计算参数之间的相关性是相当令人满意的。这表明所设计的采样器和所采用的采样技术适合于从铣削电路中获得具有代表性的样品。本文介绍了采样器的设计方法、采用的采样技术以及JKSimMet软件的采样结果。
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Designing and testing the representative samplers for sampling a milling circuit at Nkana copper/cobalt concentrator
The primary objective in any ore processing method, is to prepare the ore for economical and effective extraction the valuable minerals. Milling circuits are extremely energy intensive, making them very expensive operations and it is very pertinent to optimise their operation to be economically viable. Therefore, their design is very critical and this can only be achieve by adopting new control strategies to improve energy utilisation. Nkana Mine concentrator of the Zambia Consolidated Copper Mines Limited (ZCCM) has been experiencing problems in establishing the optimum mesh of grind for the various ores, to achieve effective separation of the cobalt minerals from those of copper. This prompted the designing and testing of representative samplers for sampling the milling circuit at Nkana Concentrator. In the design of the samplers, use was made of the Gy’s formula to determine the minimum weight of the sample to be extracted from various process streams. The particle size distribution of the streams was conducted to determine the size of the largest particle in each stream. Samplers were designed on the basis of theoretical and practical applications and a factor of three was built in the normal sampler width opening. This enabled that the entire stream had equal chance of entering the sampler.The milling circuit on which a sampling campaign was conducted consisted of a 2.7m by 3.6m (9ft, 12ft) Rod Mill in open circuit with a 760mm (30inch) hydrocyclone which was in closed circuit with a Ball Mill of the same dimension as the Rod Mill. Samples were taken from the feed to the Rod Mill, Rod Mill discharge, Cyclone underflow( feed to the Ball Mill), Ball Mill discharge and the cyclone overflow using appropriate sampling techniques for a complete shift at equally spaced intervals. Sampling was only started when it was established that steady state operation of the plant was attained. Important operating parameters were established which included the throughput of the material to the Rod Mill, the pulp densities of the streams in the milling circuit, the particle size distribution of the streams, volumetric flow rates of the streams and the rate at which dilution water was added. These parameters were then used to carry out Mass balancing using a mineral processing simulation software called JKSimMet which has been developed by the Julius Kruttschnitt Mineral Research Centre at the University of Queensland in Australia. The simulator can be used to predict the possible alternatives to optimising the circuit performance and physical modifications which can be made to the plant with confidence. The correlation between the measured and the calculated parameters was found to be fairly satisfactorily. This showed that the designed samplers and the sampling techniques used were suitable for obtaining representative samples from the milling circuit. This paper describes the method used in designing the samplers, the sampling techniques used and the results obtained from the JKSimMet software.
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