Efficiency of automated sorter performance based on particle proximity information

Pascoe, R.D.; Udoudo, Ofonime; Glass, Hylke J.

doi:10.1016/j.mineng.2010.05.021

Cited by 16 publications

(17 citation statements)

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“…The particle bottom size is limited by the computational power required to analyse, and the ability to efficiently separate, the high fragment count rates encountered with small particles. These operational challenges also ultimately limit the throughput that can be achieved for a given size class through industrial sorters (Pascoe et al, 2010;Udoudo, 2010). The combined size range of -76.2+12.7mm has a top size to bottom size ratio of 6:1, which is also similar to a ratio of 4:1 that is typically considered the range for optimum performance of industrial sorting equipment.…”

Section: Ore Characterisation Particle Size Requirements and Sample mentioning

confidence: 99%

Pilot scale microwave sorting of porphyry copper ores: Part 1 – Laboratory investigations

Ferrari

Katrib

Udoudo

et al. 2016

Minerals Engineering

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Section: Ore Characterisation Particle Size Requirements and Sample mentioning

confidence: 99%

Pilot scale microwave sorting of porphyry copper ores: Part 1 – Laboratory investigations

Ferrari

Katrib

Udoudo

et al. 2016

Minerals Engineering

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“…Feed was introduced to the conveyor via a chute that is fed from a storage bin and variable speed vibrating feeder (width 12 cm). The narrow feeding width contributes to the relatively high throughput measured at the centre of the belt compared to the edges (Pascoe et al, 2010).…”

Section: Automated Sorter Operationmentioning

confidence: 99%

“…When particles are touching (or too close together) in the identification zone the co-deflection of unwanted particles increases. In a recent study by Pascoe et al (2010) it was shown that co-deflection increased when the following occurred;…”

Section: Introductionmentioning

confidence: 96%

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Prediction of automated sorter performance utilising a Monte Carlo simulation of feed characteristics

Pascoe

Fitzpatrick

Garratt

2015

Minerals Engineering

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a b s t r a c tTo evaluate the performance of an automated sorter typically requires testing of the material to be separated on a full-scale device. In many cases limitations on the quantity of material available for testing, and the costs of the test programme, may limit the range of operating conditions examined. In this paper we propose a method for prediction of automated sorter performance, based on material and machine characteristics, which can be used to evaluate how changes to these characteristics affect performance.The distribution of particles at the point of identification is a key parameter in determining sorter efficiency. A Monte Carlo simulation was used to predict the position of particles on a feed conveyor used to deliver particles to the identification zone. The results produced show that this technique can be used to simulate the particle distribution achieved by an operating automated sorter (TiTech Combisense).Sorter efficiency depends on firstly accurate identification of the target product (typically deflected) and secondly the precision of selective deflection, using compressed air jets or mechanical actuators. A reduction of deflection efficiency is generally caused by the co-deflection of ''non-target'' particles resulting from their close proximity to particles being deflected. In order to fine tune the sorter model data from automated sorting experiments were analysed to provide information on deflection efficiency over a wide range of operating conditions. The sorter model developed for the À10 + 6 mm size fraction was shown to provide a realistic prediction for coarser (À15 + 10 mm) particles.The sorter model was used to demonstrate that sorter performance could be significantly improved by improved particle feed distribution. When a high separation efficiency is required for a sorting application a 3 stage process was predicted to have a higher separation efficiency than a single stage process using the same number of sorters.

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“…Such separators are used not only to separate many types of plastics and paper or to clean organic fractions, but they are also applied for natural raw materials, and recycling of glass, timber, or other materials as presented in publications [3][4][5][6][7][8].…”

mentioning

confidence: 99%

Sorting Tests of Unsorted Municipal Solid Waste from Germany for a Selected Opto-Pneumatic Sorting Machine

Hryb¹

2015

Pol. J. Environ. Stud.

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Efficiency of automated sorter performance based on particle proximity information

Cited by 16 publications

References 0 publications

Pilot scale microwave sorting of porphyry copper ores: Part 1 – Laboratory investigations

Pilot scale microwave sorting of porphyry copper ores: Part 1 – Laboratory investigations

Prediction of automated sorter performance utilising a Monte Carlo simulation of feed characteristics

Sorting Tests of Unsorted Municipal Solid Waste from Germany for a Selected Opto-Pneumatic Sorting Machine

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