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Developing a particle-based process model for a dry magnetic separator

机译:开发用于干磁分离器的基于颗粒的过程模型

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Mineral processing unit models require information on particle size, solids flowrate and mineralogical composition to model unit operations. Particle based modelling describes a modelling approach where mineral composition, mineral liberation and textural information of particles making up the process streams is used in modelling. The advantage of this approach is that all model streams carry particle level information. The objective of this study was to develop a particle based model for a dry magnetic separator. Magnetic separation tests were carried out on high, medium and low grade magnetite ores using a laboratory magnetic separator. Streams from the separator were sampled and sized for chemical and mineralogical analyses. A particle based model was developed that calculates the trajectory of a single particle based on its mineral composition and textural properties. The model was tested on experimental data and was able to predict the effect of variation in process feed stream mineralogical attributes on magnetic separation performance. This study highlights the benefits of the particle based modelling approach.
机译:矿物加工单元模型需要有关粒度,固体流量和矿物学组合物的信息,以模拟单元操作。基于颗粒的建模描述了构成工艺流的颗粒的矿物成分,矿物质解放和纹理信息的建模方法。这种方法的优点是所有模型流携带粒子级信息。该研究的目的是开发一种用于干磁分离器的基于颗粒模型。使用实验室磁性分离器在高,中和低级磁铁矿矿石上进行磁性分离试验。将来自隔膜的溪流被取样和大小用于化学和矿物学分析。开发了一种基于颗粒的模型,其基于其矿物成分和纹理性质来计算单个粒子的轨迹。该模型在实验数据上测试,能够预测过程进料流矿物学属性变化对磁分离性能的影响。本研究突出了基于粒子的建模方法的益处。

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