A Test Work Approach Aimed at Maximising Data Generation for Fine Screening Circuit Design and Simulation

摘要

There has in recent years been a renewed interest in the use of screens for fine particle classification in minerals processing circuits. Published case studies has shown that fine screening technology could provide better classification efficiency as compared to hydrocyclones, Dundar et al (2014). Especially in comminution circuits the incorporation of fine screens to replace cyclones has shown benefits in terms of energy efficiency and downstream recovery. Improved circuit throughput associated with the introduction of screens into existing milling circuits has been discussed in numerous publications, Valine et al (2009), Albuquerque (2015), Barkhuysen (2011). The performance of a classifier is often represented by an efficiency curve, alternatively called a partition curve; that describes the fractional recovery for a given particle size to the oversize product, Napier-Munn (2005). The partition curve for a screen is not constant but is affected by feed conditions. The main factors that has an influence on wet fine screening efficiency is the screen feed rate, feed density, and feed particle size distribution, Valine & Wenner (2002). In order to accurately model and predict the performance of a fine screening operation it is therefore required to adjust the partition based on the characteristics of the feed to the screen.