Breakage Function for HPGR: Mineral and Mechanical Characterization of Tantalum and Tungsten Ores

Anticoi, Hernan; Guasch, Eduard; Hamid, Sarbast Ahmad; Oliva, Josep; Alfonso, Pura; Garcı́a-Vallés, Maite; Bascompta, Marc; Pera, Lluís Sanmiquel; Escobet, Teresa; Argelaguet, Rosa; Escobet, Antoni; Felipe, J. J. de; Parcerisa, David; Pitarch, Esteban Peña

doi:10.3390/min8040170

Cited by 18 publications

(29 citation statements)

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“…n 3 and Y 0 are the parameters when the breakage distribution behaves as a bimodal function. This is the case for the altered granite (Table 3) as is explained in previous studies [24]. All these parameters k, n 1 , n 2 , n 3 and Y 0 can also vary when the function is used under single particle compression and bed particle compression.…”

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confidence: 60%

“…The breakage distribution function parameters should have different values when running under single particle compression compared to running under bed compression. A previous work investigating these materials [24] showed clear differences when the particles were under single particle compression or when they were under the bed compression condition.…”

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confidence: 95%

“…The situation is similar when the solution for bed compression is solved by the batch grinding equation: a single particle compression breakage function uses the same parameters for bed compression [8]. Later, researchers took a different approach to these parameters and described those using different values [21,22].Taking into account these facts, in this study an improved Austin model is presented based on three main considerations: (1) the hypothesis of having a non-normalized breakage function when it is run under different conditions of single particle or bed compression condition, (2) the new approach for determining the breakage function parameters in a high pressure environment by means of piston-die methodology [24], and (3) the consideration of the comminution of the particles as a simultaneous process when they are under single particle compression and under bed compression. For this model, when the particles are large enough to be nipped by the roll surface, the single-particle compression effect is described using the breakage function parameters values obtained in a single compression approach.…”

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confidence: 99%

“…However, undersized particles that are not under the nipping effect could interact with other small particles, or even with the large particles, producing the bed-compression effect. They are described by the breakage distribution function using values from the bed compression piston test [24]. The main objective of this research work was to obtain a robust model to predict the particle size distribution of tantalum and tungsten ores and to probe the consistency of the new approach to determine the breakage distribution function parameters presented in Anticoi et al [24].…”

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“…In order to obtain disaggregated material, the calibration indicated 15 min dry-sieving. The specific pressing force (Fsp) for all tests was determined based on a compression strength test for both material types [24] (Figure 2). The aim was to test the material in the optimal pressure condition.…”

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An Improved High-Pressure Roll Crusher Model for Tungsten and Tantalum Ores

et al. 2018

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An improved approach is presented to model the product particle size distribution resulting from grinding in high-pressure roll crusher with the aim to be used in standard high-pressure grinding rolls (HPGR). This approach uses different breakage distribution function parameter values for a single particle compression condition and a bed compression condition. Two materials were used for the experiments; altered Ta-bearing granite and a calc-silicate tungsten ore. A set of experiments was performed with constant operative conditions, while varying a selected condition to study the influence of the equipment set-up on the model. The material was comminuted using a previously determined specific pressing force, varying the feed particle size, roll speed and the static gap. A fourth group of experiments were performed varying the specific pressing force. Experimental results show the high performance of the comminution in a high-pressure environment. The static gap was the key in order to control the product particle size. A mathematical approach to predict the product particle size distribution is presented and it showed a good fit when compared to experimental data. This is the case when a narrow particle size fraction feed is used, but the fit became remarkably good with a multi-size feed distribution. However, when varying the specific pressing force in the case of the calc-silicate material, the results were not completely accurate. The hypothesis of simultaneous single particle compression and bed compression for different size ranges and with different parameters of the distribution function was probed and reinforced by various simulations that exchanged bed compression parameters over the single particle compression distribution function, and vice versa.The main advantages of HPGR lie in energy savings and the simplicity of the process [7]. However, the particle size reduction ratio is lower than that in some other types of mills, such as ball and rod mills. HPGR are used in various configurations such as pre-grinding, hybrid grinding and finish grinding, among others [4]. This is mainly due to the comminution effect under the action of high-pressure rolls, which generates many more internal fractures of particles than other devices [13][14][15], and also generates material with latent cracks for a second stage of milling or even enough to liberate the ore [4,16]. The favourable influence of HPGR performance on downstream beneficiation operations has also been proved, for example, in the ore flotation process [17]. HPGR also appears to have a less negative impact on the environment in terms of lower dust and noise emissions [18].With regard to the description of the model, the mechanism of breakage by compression and shear is dominant in roll crushers [19]. In HPGR, two main breakage mechanisms are observed: single particle compression and bed compression [20][21][22]. Single particle compression is more efficient, but larger particles cause unnecessary liner wear issues [21] and also result in the separatio...

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