Wet grindability of an industrial ore and its breakage parameters estimation using population balances

Wang, Xiaoli; Gui, Weihua; Yang, Chunhua; Wang, Yalin

doi:10.1016/j.minpro.2010.11.008

Cited by 25 publications

(6 citation statements)

References 15 publications

(18 reference statements)

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“…These functions provide the fundamental size-mass balance equation for fully mixed batch grinding operations. Many researchers have underlined the advantages of these functions (Ipek H. and Göktepe F., 2011;Wang X. et al, 2011;Gupta V.K. and Sharma S., 2014), while the scale-up from laboratory data to full-scale mills has also been discussed in a number of recent studies (Fuerstenau D.W. et al, 2003;Deniz V., 2013).…”

Section: Introductionmentioning

confidence: 99%

Identification of Optimal Mill Operating Parameters during Grinding of Quartz with the Use of Population Balance Modeling

Petrakis¹,

Stamboliadis²,

Komnitsas³

2017

KONA

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It is known that ball milling is an energy intensive process and great efforts have been made over the years to improve energy efficiency. The use of population balance models (PBMs) can assist in the design of mineral processing circuits and the scale-up of laboratory mill results to full-scale. However, since each model has its own capabilities and limitations, it is believed that a combined use will provide more accurate information for the reliable description of the process. In this study, the simulation of grinding of quartz is investigated in order to identify the optimal mill operating parameters. With the use of population balance modeling the specific rate of breakage and the cumulative breakage parameters can be determined from mono-size, short grinding time batch tests. The determined breakage parameters were back calculated by minimizing the residual error between experimental and reproduced size distributions. By combining two software packages the back calculated breakage parameters were used for the prediction of the optimum ball filling volume. The proposed procedure can be also applied for the identification of optimal mill operating parameters for other minerals.

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Section: Introductionmentioning

confidence: 99%

Identification of Optimal Mill Operating Parameters during Grinding of Quartz with the Use of Population Balance Modeling

Petrakis¹,

Stamboliadis²,

Komnitsas³

2017

KONA

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“…These functions define the fundamental size-mass balance equation for fully mixed batch grinding operations. Many researchers have underlined the advantages of these functions [26][27][28], while the scale-up from laboratory to industrial mills has also been discussed in a number of recent studies [1,[29][30][31][32]. Furthermore, several studies investigated the effect of the variation of kinetic model parameters, when different mill operating conditions were used.…”

Section: Introductionmentioning

confidence: 99%

Improved Modeling of the Grinding Process through the Combined Use of Matrix and Population Balance Models

Petrakis

Komnitsas

2017

Minerals

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Abstract:The mechanistic approach has proven so far to be flexible and successful for simulation of the grinding process. The basic idea underlying mechanistic models, namely the matrix and population balance models, is based on the identification of natural events during grinding. Since each model has its own capabilities and limitations, their combined use may offer additional advantages on this aspect. In this study, the matrix model and the selection function, namely the probability of breakage of the population balance model, were combined through a MATLAB code to predict the size distribution of the grinding products of quartz, marble, quartzite and metasandstone. The modeling results were in very good agreement with the particle size distributions obtained after grinding the feeds in a ball mill.

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“…The aim of this work was to study the effects of ball size on milling kinetics, operating at different mill speeds and with a wide range of feed particle size. This was done through dry milling and batch grinding tests, following the methodology proposed by Austin et al [7] and developed in [9,29]. In addition, it studied the relationships amongst the evolution of Sn, Ta and Nb content, as metals of interest, determined by XRF, the specific rate of breakage S i , and the operational conditions for both samples, Bedrock and Tailings Pond, from the Penouta mine.…”

Section: Introductionmentioning

confidence: 99%

Kinetics of Dry-Batch Grinding in a Laboratory-Scale Ball Mill of Sn–Ta–Nb Minerals from the Penouta Mine (Spain)

Nava¹,

Llorens²,

Menéndez-Aguado

2020

Metals

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The optimization of processing plants is one of the main concerns in the mining industry, since the comminution stage, a fundamental operation, accounts for up to 70% of total energy consumption. The aim of this study was to determine the effects that ball size and mill speed exert on the milling kinetics over a wide range of particle sizes. This was done through dry milling and batch grinding tests performed on two samples from the Penouta Sn–Ta–Nb mine (Galicia, Spain), and following Austin methodology. In addition, the relationships amongst Sn, Ta and Nb content, as metals of interest, the specific rate of breakage Si, the kinetic parameters, and the operational conditions were studied through X-Ray fluorescence (XRF) techniques. The results show that, overall, the specific rate of breakage Si decreases with decreasing feed particle size and increasing ball size for most of the tested conditions. A selection function, αT, was formulated on the basis of the ball size for both Penouta mine samples. Finally, it was found that there does exist a direct relationship amongst Sn, Ta and Nb content, as metals of interest, in the milling product, the specific rate of breakage Si and the operational–mineralogical variables of ball size, mill speed and feed particle size.

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Wet grindability of an industrial ore and its breakage parameters estimation using population balances

Cited by 25 publications

References 15 publications

Identification of Optimal Mill Operating Parameters during Grinding of Quartz with the Use of Population Balance Modeling

Identification of Optimal Mill Operating Parameters during Grinding of Quartz with the Use of Population Balance Modeling

Improved Modeling of the Grinding Process through the Combined Use of Matrix and Population Balance Models

Kinetics of Dry-Batch Grinding in a Laboratory-Scale Ball Mill of Sn–Ta–Nb Minerals from the Penouta Mine (Spain)

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