1996
DOI: 10.1016/0301-7516(95)00076-3
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Use of grinding and liberation models to simulate tower mill circuit performance in a lead/zinc concentrator to increase flotation recovery

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Cited by 13 publications
(6 citation statements)
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“…It can be observed that the liberation in a given size class from -212+150 µm down to -38+20 µm is invariant of the particle size distribution, which conforms to the previous results of Vizcarra et al (2010), Wightman et al (2008), Weller et al (1996), Manlapig et al (1985), and Bérubé and Marchand (1984). An unusual behaviour in the liberation of chalcopyrite can be observed at the -20+10 µm for the feed and the 5-minute product where the liberation decreased with size.…”
Section: Mineral Liberation Distributionssupporting
confidence: 75%
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“…It can be observed that the liberation in a given size class from -212+150 µm down to -38+20 µm is invariant of the particle size distribution, which conforms to the previous results of Vizcarra et al (2010), Wightman et al (2008), Weller et al (1996), Manlapig et al (1985), and Bérubé and Marchand (1984). An unusual behaviour in the liberation of chalcopyrite can be observed at the -20+10 µm for the feed and the 5-minute product where the liberation decreased with size.…”
Section: Mineral Liberation Distributionssupporting
confidence: 75%
“… The effect of the breakage mechanism in stirred mills on the size-by-size liberation properties of the minerals has not been determined yet, since the earlier observations of Wightman et al (2008), Weller et al (1996), Manlapig et al (1985), Bérubé and Marchand (1984) were made on tumbling mills.…”
Section: (Equation 215)mentioning
confidence: 99%
“…Australian research groups such as the Julius Kruttschnitt Mineral Research Centre (JKMRC) have, for more than 50 years, been leaders in the development of comminution models and their application in simulation. JKSimMet [7][8][9][10][11], as one of the most widespread simulation softwares used over the world, has been normally used for cost-effective design prior to the construction of mineral processing plants or modification of the existing circuits to improve performance or adapt to the changed feeding conditions [9]. The specific energy of tumbling mills such as autogenous (AG), semi-autogenous (SAG), and ball mills have been successfully predicted by the Morrell model [12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%
“…0.295`6 500 1000000 q´1 10000´p 0.295`1 10000 1000000 q¯" 0.71 kWh{t (8) where K 3 is 0.19, x 1 is the P 80 (µm) of the circuit feed, x 2 is the P 80 (µm) of the circuit product, and M ia is the coarse ore work index and provided directly by the SMC Test. The specific energy consumptions of the jaw crusher, HPGR and ball mill circuits were calculated using Equations (9)- (12).…”
mentioning
confidence: 99%
“…A simplified method of modelling liberation was used in MINDRES to predict size and liberation changes in fine grinding devices (Weller, Morrell & Gottlieb, 1996). The methodology proved to be useful for ores where the liberation by size profiles were similar in the feed and product streams.…”
Section: Mindresmentioning
confidence: 99%