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Using mineralogical characterisation and process modelling to simulate the gravity recovery of ferrochrome fines

机译:使用矿物学表征和过程建模来模拟铬铁粉的重力恢复

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The recovery of ferrochrome (FeCr) alloy from fine (<600 mu m) ferrochrome slag typically involves the use of gravity concentration, amongst other physical separation techniques. This study demonstrates the value of utilising mineralogical methods both to determine alloy composition and liberation and to assist in setting up partition surface models for a shaking table. A Mineral Liberation Analyser (MLA) was used to measure size, density, shape and liberation data of each alloy and mineral in a set of shaking table products. The amount of detailed data gathered by the MLA was sufficient to generate particle tracking analysis (PTA) data in order to simulate the recovery of alloy and mineral phases. Two flowsheet configurations were evaluated to ascertain the possibility of producing a high grade product (>97.5% metal content) comparing shaking table and Reflux Classifier performance. The results of this study show that an approach of using particle characterisation by MLA, coupled with surface partition modelling, may be a useful technique to model gravity separation of fine particles, especially where both valuable and gangue phases contain common elements in their composition. (C) 2016 Elsevier Ltd. All rights reserved.
机译:来自细小(<600μm)的铬铁(FECROME)合金的回收率通常涉及重力浓度,在其他物理分离技术中。该研究表明,利用矿物学方法来确定合金组成和解放的价值,并有助于设定振动台的分隔板模型。矿物解放分析仪(MLA)用于测量一组振动台产品中每种合金和矿物的尺寸,密度,形状和解放数据。 MLA收集的详细数据量足以产生粒子跟踪分析(PTA)数据,以模拟合金和矿物相的回收率。评估了两个流程配置,以确定产生高档产品(> 97.5%金属含量)的可能性比较振动台和回流分类器性能。该研究的结果表明,使用MLA与表面分区建模的MLA使用颗粒表征的方法可以是用于模拟细颗粒的重力分离的有用技术,尤其是有价值和膨胀阶段在其组合物中含有共同的元素。 (c)2016 Elsevier Ltd.保留所有权利。

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