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Hydrocyclone classification optimization using real-time coarse particles detection in the overflow stream

机译:水力旋流分类优化在溢出流中使用实时粗粒粒子检测

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This work presents a new instrument for non-invasive, real-time detection of excessively coarse particles in the overflow pipes of individual hydrocyclones. It enables operators to identify poorly performing hydrocyclones in need of maintenance and remove them from service. It also enables a reduction in coarse particles arriving to flotation that causes: cell maintenance for cleanout of this material, unplanned row shutdown due to blocked dart valves, and damage to cell components such as rotors. The hydrocyclone is an important device used in mineral processing beneficiation circuits for classification of mineral slurries by particle size. One input stream is separated into two output streams; an underflow of coarse particles that undergo additional grinding, and an overflow stream of finer particles that typically goes directly into a flotation circuit for recovery of the desired mineral. However, the hydrocyclone has no instrumentation for directly measuring its performance. The parameters currently measured -inlet pressure, feed flow rate, feed flow density- are common to the entire hydrocyclone cluster which has many hydrocyclones. Thus, no information is available to detect individual hydrocyclones that are operating poorly. The system described here detects the presence of unwanted excessively coarse particles in the overflow stream of a hydrocyclone using sensors mounted to the exterior pipe surface. It provides real-time monitoring, trending, and alarming of the coarse particle level. This enables operators to identify poorly performing hydrocyclones and take corrective action to reduce or eliminate the coarse particle discharge, enabling a general improvement in flotation recovery. Additionally the system enables reductions in maintenance costs. The system development, operating principle, and in-plant operating data will be presented.
机译:这项工作提出了一种用于单个氢旋流器溢流管中过度粗颗粒的非侵入性的实时检测的新仪器。它使运营商能够识别需要维护并从服务中删除它们的性能不良的氢旋流币。它还能够降低到达浮选的粗粒颗粒,导致:细胞维护进行这种材料的清洁,由于堵塞的阀门,由于堵塞的飞镖阀而导致的行关断,以及诸如转子的细胞部件的损坏。水力旋流器是一种用于矿物加工受益电路的重要装置,用于通过粒度进行矿物浆料进行分类。一个输入流分为两个输出流;经历额外的研磨的粗颗粒的底部,以及通常直接进入浮选电路以回收所需矿物的溢流颗粒的溢流流。然而,水力旋流器没有直接测量其性能的仪器。目前测量的参数 - 压力,进给流速,进料流密 - 对于具有许多氢旋流器的整个水力旋流簇是常见的。因此,没有任何信息可用于检测运行不良的单独氢旋流器。这里描述的系统通过安装到外管表面的传感器检测水力旋流器溢流流中的不需要过粗颗粒的存在。它提供粗略粒度的实时监控,趋势和报警。这使得运营商能够识别性能不良的氢旋流器,并采取纠正措施以减少或消除粗颗粒放电,从而实现浮选回收的一般性改善。此外,该系统可以降低维护成本。系统开发,操作原理和工厂运行数据将被呈现。

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