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Simulation Analysis of a Mineral Liberation Estimator for Control Purposes

机译：用于控制目的的矿物质释放估算器的仿真分析

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In the past few decades, extensive and intensive work has been done in the field of optimisation and control for mineral processing plants. As the valuable minerals have to be separated from the gangue through grinding, one of the most crucial process variables to monitor is the particle size. Although great advances have been accomplished, the vast majority of the proposed strategies relies on the control of a given product size index. The ultimate goal of comminution is mineral liberation, and it is not exclusively dependent on particle dimensions. Approaches focusing on liberation control rather than particle size could thus provide significant advantages. However, online measurement or estimation of mineral liberation is challenging to say the least. In this regard, there is still no work reported in the literature on the use of mineral liberation for online optimisation and control. This article explores the use of a mineral liberation distribution estimator for process control by investigating the effect of changing material properties and plant operating conditions. First, ore characteristics such as size distribution, mineral grades and grain sizes are varied to assess their impact. Then, the estimator is implemented as a liberation sensor in a simulated grinding circuit to observe the effect of modifying operating conditions. The results give a preliminary insight on the possibilities of using mineral liberation information for process control and optimisation purposes.
机译：在过去的几十年中，在选矿厂的优化和控制领域已经进行了广泛而深入的工作。由于必须通过磨碎将有价值的矿物与煤ue石分离，因此要监控的最关键的工艺变量之一是粒径。尽管已经取得了很大的进步，但是大多数提议的策略都依赖于对给定产品尺寸指数的控制。粉碎的最终目的是矿物的释放，并且它不仅取决于颗粒的尺寸。因此，着重于解放控制而不是粒度的方法可以提供明显的优势。但是，至少可以说，在线测量或估算矿物质的释放是一项挑战。在这方面，关于使用矿物释放进行在线优化和控制的文献中仍没有文献报道。本文通过研究改变材料特性和工厂运行条件的影响，探索了将矿物质释放分布估算器用于过程控制的方法。首先，改变矿石的特性，例如粒度分布，矿物等级和粒度，以评估其影响。然后，将估算器实现为模拟磨削回路中的解放传感器，以观察修改工作条件的效果。结果提供了关于将矿物释放信息用于过程控制和优化目的的可能性的初步见解。

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