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首页> 外文期刊>Powder Technology: An International Journal on the Science and Technology of Wet and Dry Particulate Systems >A mineral liberation distribution estimator for monitoring and process control applications
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A mineral liberation distribution estimator for monitoring and process control applications

机译:用于监测和过程控制应用的矿物解放分配估算

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Particle size control in mineral processing is typically achieved using an index characterising the whole distribution, e.g. the sieve opening through which a given mass fraction of the population would pass. Although mineral liberation is the goal of size reduction, its use for monitoring and process control applications is not reported because its online measuring is currently not possible. This paper proposes to address this issue using a mineral liberation distribution estimator consisting in two models. The first one uses a polynomial expression to relate the size-by-size mineralogical distribution of every mineral species to that of the ore. The second model relies on a beta distribution function to sort the masses in every size fraction into liberation classes. The characteristic constants of the beta function are parameterised with the properties of the ore. Results demonstrate that the liberation estimator can represent liberation distributions of both fresh and processed comminution products. (C) 2020 Published by Elsevier B.V.
机译:矿物加工中的粒度控制通常使用表征整个分布的指数来实现,例如,筛网开口,通过该筛网通过该筛网通过该筛分群体的群体将通过。虽然矿物解放是减少规模的目标,但它没有报告其用于监测和过程控制应用的应用,因为目前无法进行在线测量。本文建议使用两种模型组成的矿物解放分配估算器来解决此问题。第一个使用多项式表达,将每种矿物质的典型型矿物分布与矿石的大小。第二种模型依赖于测试曲目分布函数,以将肿块分类为单个分数变成解放类。 Beta函数的特征常数以矿石的属性参数化。结果表明,解放估计器可以代表新鲜和加工粉碎产品的解放分布。 (c)2020由elsevier b.v发布。

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