基于蒙特卡罗模拟的选矿水力旋流器性能敏感性分析

Sidney Viana
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摘要

水力旋流分离器是一种用于矿浆中固体颗粒粒度分离的选矿设备。它也是一种低关注其控制的设备,以获得有效的性能。传统上,水力旋流器的监测和控制是通过水力旋流器进料浆流的流量Q、密度r和压力P等操作变量来实现的。然而,水力旋流器的主要结果变量是它的“截止尺寸”d50,在这个尺寸下,平均50%的固体颗粒进入水力旋流器的粗出口(底流),其余50%平均进入其细出口(溢流)。绝大多数水力旋流器在选矿中的应用都不能在线测量d50,因为这需要使用非常昂贵的粒度分析仪。因此,水力旋流器的截止尺寸d50通常是开环运行,而影响d50的操作变量如进料浆流的流量Q和密度r则是在闭环控制下运行的。然而,由于缺乏对操作变量对主要结果变量(截止尺寸d50)的定量影响的理解,大多数水力旋流器应用的性能都很差。在这种情况下,本文打算通过对水力旋流器的数学模型进行蒙特卡罗模拟来量化流量Q和密度r对截止尺寸d50的相对影响。所得结果为水力旋流器性能的合理控制提供了有用的知识。
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Sensitivity Analysis of Hydrocyclone Performance in Mineral Processing Using Monte Carlo Simulation
The hydrocyclone separator is a processing equipment very used in the mineral industry for size separation of solid particles in ore slurries. It is also an equipment with low concerns about its control for an efficient performance. Traditionally, the monitoring and control of hydrocyclone is done by means of its operational variables as the flowrate Q, the density r, and the pressure P of the feed slurry stream of the hydrocyclone. However, the main outcome variable of interest in a hydrocyclone is its “cut-off size”, d50, which is the size at which 50% of the solids particles, in average, go to the coarse output (underflow) of the hydrocyclone, and the remaining 50%, in average, go to its fine output (overflow). The vast majority of hydrocyclone applications in mineral processing do not measure d50 on-line, because this requires the use of very expensive particle size analyzers. Because of this, hydrocyclones are usually operated in open loop with regards to its cut-off size d50, yet under closed loop control of the operational variables that affect d50 as the flowrate Q and the density r of the feed slurry stream. Nevertheless, most hydrocyclone applications suffer from bad performance due to the lack of understanding about the quantitative impact of the operational variables on the main outcome variable, the cut-off size d50. In this context, this article intends to quantify the relative impact of the flowrate Q and the density r on the cut-off size d50 by running Monte Carlo simulation on a mathematical model of the hydrocyclone. The results obtained provide useful knowledge for proper control of hydrocyclone performance.
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