Development of a rapid particle breakage characterisation device – The JKRBT

Shi, Fengnian; Kojovic, T.; Larbi-Bram, Stephen; Manlapig, E.

doi:10.1016/j.mineng.2009.05.001

Cited by 73 publications

(66 citation statements)

References 8 publications

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“…The standard A*b for the 5 ores were 64, 25, 30, 71 and 32 respectively, representing a range of competence from very hard to soft. For particles greater than 4.75 mm, the Julius Kruttschnitt Rotary Breakage Tester (JKRBT) (Shi et al, 2009) was used; and the "Schönert breakage device" was used for finer particles (Ballantyne et al, 2015). The only appreciable difference between the devices are the rotor diameter and the air pressure.…”

Section: Methodsmentioning

confidence: 99%

Evolution of impact breakage characterisation: Re-defining t-family relationship

Ballantyne

Bonfils

Powell

2017

International Journal of Mineral Processing

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HIGHLIGHTS A new two-parameter model is presented to fully describe the progeny size resulting from single sided impact breakage.  The model provides an accurate fit over a wide range of sizes and energies -tested on 5 ores from 37.5 mm to 250 µm and energies from 0.02 to 3.5 kWh/t.  This approach provides a link between low energy, probability of breakage and high energy, t 10 models.  This technique reduced the number of model parameters from 18 to 2 or 3 and reduced the average standard error 6.3% to 3.6%. GRAPHICAL ABSTRACTExample of the model relationship between feed particle size and percentage passing t 1.2 (probability of breakage) and t 10 (traditional degree of breakage). ABSTRACTAccurate characterisation of ore competence through controlled single particle impact can enable improved modelling of comminution process response to ore variability. A simple relationship is presented to relate the energy input and feed particle size to the breakage progeny with two fitting parameters. Previous techniques have focused either on low energy repeated impacts or high energy single impacts and have been applied over relatively small ACCEPTED MANUSCRIPTA C C E P T E D M A N U S C R I P T ranges of particle sizes. The method presented builds on previous understanding to unite these two disparate fields on feed particle sizes over more than two orders of magnitude. The method has been tested on 5 ores from 37.5 mm to 250 μm over energies from 0.02 to 3.5 kWh/t. The resultant standard error of 3.6% is lower than other benchmarked models, with considerably fewer fitting parameters and no use of splining functions required. The direct calculation of appearance function for any feed size and input energy renders the proposed model well suited to incorporation in comminution process models. Further testing is required on additional ores, and further interpretation is required to obtain mechanistic explanations for the empirical fits to the model parameters.

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Section: Methodsmentioning

confidence: 99%

Evolution of impact breakage characterisation: Re-defining t-family relationship

Ballantyne

Bonfils

Powell

2017

International Journal of Mineral Processing

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“…This can be achieved either by accelerating the sample against a plate using gravitational forces or the acceleration forces from a gun, or by advancing the sample with a fast moving tool, commonly realized in a rotor-stator impact system. Such a rotary impact tester design was first presented by Schönert et al [33] and has meanwhile been commercially adapted also for ore testing by Kojovic et al [34][35][36]. Figure 10 shows a schematic of the rotor-stator impacting system.…”

Section: Rotary Single Impact Testermentioning

confidence: 99%

Testing of Ore Comminution Behavior in the Geometallurgical Context—A Review

2015

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Abstract:Comminution tests are an important element in the proper design of ore beneficiation plants. In the past, test work has been conducted for particular representative reference samples. Within geometallurgy the entire ore body is explored in order to further identify the variation within the resource and to establish spatial geometallurgical domains that show the differential response to mineral processing. Setting up a geometallurgical program for an ore deposit requires extensive test work. Methods for testing the comminution behavior must therefore be more efficient in terms of time and cost but also with respect to sample requirements. The integration of the test method into the geometallurgical modeling framework is also important. This paper provides an overview of standard comminution test methods used for the investigation of ore comminution behavior and evaluates their applicability and potential in the geometallurgical context. Keywords: geometallurgy; comminution behavior; metallurgical testing BackgroundBefore concentration, metal ores have to be crushed and ground in order for the metal bearing minerals to be liberated. Sufficient size reduction by comminution is not only a prerequisite for any downstream physical separation, but is also the processing step within mineral processing that has the highest energy demand, and which, in practice, is often the limiting factor for plant capacity. Reliable OPEN ACCESS

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“…Tester (JK-RBT) (Shi et al, 2009) at the JKMRC. Impact breakage was chosen as the breakage method as it is one of the major modes of breakage in comminution devices.…”

Section: Multiple Particles Breakage Testsmentioning

confidence: 99%

Measurement and modelling of the liberation and distribution of minerals in comminuted ores

Mariano¹

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There is a need to develop a model to predict the liberation of minerals in breakage products as this is a key step in linking comminution and separation models in an integrated mineral processing simulator. Such a model would allow metallurgists to optimise grinding operations in response to changes in ore characteristics. This thesis aims to predict mineral liberation using a model based on random breakage of a measured texture, and to validate the model prediction against actual experimental breakage tests. A published, texture-based model of mineral liberation that uses the assumption of random breakage of the mineral texture to generate product particles called the JK Gaudin Random Liberation Model (JK-GRLM) (Evans et al. 2013) has been used as the basis of this study.In earlier empirical work a number of researchers (Berube and Marchand (1984), Manlapig et al. (1985), Wightman et al. (2008) and Vizcarra (2010)) observed the heuristic model that the degree of liberation in a given size fraction is the same regardless of where in the comminution circuit a sample is collected. This behaviour was observed for various ore types and was found to be independent of the mode of breakage. However, the published research does not explicitly consider the effect of amount of energy applied to break the ore on the distribution of the mineral across liberation and particle size classes.Two ore types were used in this study, namely ores from Kanowna Belle (KB) and Kennecott Utah Copper Corporation (KUCC). The original JK-GRLM was applied to simulate the product particle liberation distribution from breakage of the two ores. Experimental validation of the JK-GRLM was conducted by comparing the simulated and measured liberation distribution results. In this study, three different impact breakage energies were applied to samples of each ore to investigate whether the amount of breakage energy input affects the liberation behaviour of the ore. The particulate products of these three impact breakage energies were analysed using the MLA to measure the cross-sectional area liberation that was then compared to equivalent areal liberation data from the simulated results.Comparison of the simulated and measured results for the KB and KUCC ores showed that the simulated cross-sectional area particle composition distributions using the original JK-GRLM did not predict the measured values accurately. While non-random breakage of the ore was recognised as one possible cause of the differences between the simulated and measured liberation, it was ii postulated that another potential reason for the inaccurate predictions is the way in which texture is represented in the original JK-GRLM. Specifically the representation of texture using an average grain size distribution, cubic grains and random spatial distribution of the mineral grains to create the feed ore texture in the breakage simulation rather than in the actual spatial arrangement and grain shape of the measured ore. Therefore, the JK-GRLM was extended to assess the eff...

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Development of a rapid particle breakage characterisation device – The JKRBT

Cited by 73 publications

References 8 publications

Evolution of impact breakage characterisation: Re-defining t-family relationship

Evolution of impact breakage characterisation: Re-defining t-family relationship

Testing of Ore Comminution Behavior in the Geometallurgical Context—A Review

Measurement and modelling of the liberation and distribution of minerals in comminuted ores

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