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Auto-SEM particle shape characterization: Investigating fine grinding of UG2 ore

机译:自动扫描颗粒形状:研究UG2 ORE的精细研磨

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摘要

For processing low grade complex ores there is a need to improve operation efficiency to maintain profitability. This may be done by introducing more efficient equipment or improving the understanding and modelling of minerals processing circuits. Particle shape can have an impact on numerous processes through its effect on drag coefficients, rheology, and particle bubble interactions. Understanding these effects in greater detail could significantly improve model capabilities. Auto-SEM can provide 2D particle shape measurements for thousands of particles, complemented by mineralogical information. These measurements are readily available from previous mineralogical studies and have the potential to be very useful.This study focuses on the dependence of QEMSCAN angularity measurements on image resolution and particle size, and why roundness is a better descriptor for a case study comparing shape characteristics of the major components of UG2 platinum ore when comminuted with different mill types. Alternative methods for characterizing shape are presented and discussed.
机译:对于加工低等级复杂矿石,需要提高运行效率以维持盈利能力。这可以通过引入更有效的设备或改善矿物处理电路的理解和建模来完成。颗粒形状可以通过其对拖曳系数,流变学和颗粒泡相互作用的影响产生多种方法。更详细地了解这些效果可以显着提高模型能力。 Auto-SEM可以为数千个粒子提供2D粒子形状测量,由矿物学信息辅成。这些测量可从先前的矿物学研究中获得,并且具有非常有用的可能性。本研究侧重于QEMSCAN角度测量对图像分辨率和粒度的依赖性,以及圆度是用于案例研究的更好描述符比较形状特征用不同的磨坊类型粉碎时UG2铂矿石的主要成分。呈现和讨论了表征形状的替代方法。

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