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A dynamic model of fluidized-bed flotation

机译：流化床浮选动力学模型

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摘要

The concept of fluidized-bed flotation (FBF) (e.g. HydroFloatTM) was recently introduced to improve the recovery of coarse particles (425 to 1180 μm). In spite of encouraging results from the first industrial applications dating back more than a decade, FBF still remains an emerging technology in the global mining industry. This paper presents a dynamic model of a FBF cell based on first principles describing volume conservation balances and macro hydrodynamic conditions. It was specifically developed to address process design, monitoring, and control problems. The model relies on the drift-flux theory to predict the flow of three populations (free particles, attached particles and bubbles) throughout the proposed vertical mixer-in-series framework. A calibration of empirical parameters on literature data demonstrates the ability to reproduce the effect of operating parameters (airflow rate, fluidization water flow rate and bed height) on steady-state recovery as long as the equipment operates at low turbulence.
机译：最近引入了流化床浮选（FBF）（例如HydroFloatTM）的概念，以提高粗颗粒（425至1180μm）的回收率。尽管十多年来的第一批工业应用取得了令人鼓舞的结果，但FBF仍然是全球采矿业中的一项新兴技术。本文基于描述体积守恒平衡和宏观水动力条件的第一个原理，提出了FBF电池的动力学模型。它是专门为解决过程设计，监视和控制问题而开发的。该模型基于漂移通量理论来预测整个拟议的立式混频器框架中三个总体（自由粒子，附着的粒子和气泡）的流量。在文献数据上对经验参数进行校准表明，只要设备在低湍流下运行，就能够再现稳态运行条件（气流速率，流化水流量和床高度）对稳态恢复的影响。

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