Determination of the milling parameters of a platinum group minerals ore to optimize product size distribution for flotation purposes

Chimwani, Ngonidzashe; Glasser, David; Hildebrandt, Diane; Metzger, Mathew J.; Mulenga, François K.

doi:10.1016/j.mineng.2012.09.013

Cited by 49 publications

(30 citation statements)

References 9 publications

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“…From the results obtained it is observed that changes in ball filling volume do not entail any significant changes in the values of parameters Φ j , and γ. This observation is in accordance with earlier studies (Fuerstenau D.W. et al, 2004;Ozkan A. et al, 2009;Chimwani N. et al, 2013), which also state that the B i,j parameters are independent of the mill operating conditions.…”

Section: Determination Of the Cumulative Breakagesupporting

confidence: 93%

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: Determination Of the Cumulative Breakagesupporting

confidence: 93%

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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“…However, poorer fit of the experimental data can be seen when the coarse size, −3.35 + 2.36 mm, was used as feed. This may be due to the abnormal grinding behavior of large particles that need to be nipped and fractured by the grinding media, as also reported by other researchers [18,26,47]. The experimental and estimated size distributions for quartzite at each step are shown in Tables 8-11.…”

Section: Second Series Of Tests-effect Of Different Ball Diametermentioning

confidence: 56%

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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“…In this research, the simulations were built upon the research that was undertaken earlier by Chimwani et al (2012) in which the breakage and selection function parameters characterising the PGM ore were measured by means of batch tests using one-size fraction methods in a laboratory mill at the University of the Witwatersrand. The tests conditions were: ball filling J T = 20%, slurry filling U T = 0.75, mill speed / cT = 75% of critical speed and a feed size of (À850 + 600 lm).…”

Section: Methodsmentioning

confidence: 99%

“…The tests conditions were: ball filling J T = 20%, slurry filling U T = 0.75, mill speed / cT = 75% of critical speed and a feed size of (À850 + 600 lm). The measured parameters are shown in Table 1 (Chimwani et al, 2012).…”

Section: Methodsmentioning

confidence: 99%

“…The technological and operating specifications of the full scale mill whose RTD and milling kinetics have been studied by Makokha et al (2011) are given below (Chimwani et al, 2012;Mulenga and Chimwani, 2013). Mill power draw is about 9500 kW at 30% mill filling; mill full length L = 9.6 m; mill diameter D = 7.312 m inside liners; mill speed / c = 75% of critical; ball filling J ranging from 25% to 33%; steel ball diameter d = 40 mm.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Use of the attainable region method to simulate a full-scale ball mill with a realistic transport model

Chimwani

Mulenga

Hildebrandt

et al. 2015

Minerals Engineering

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Determination of the milling parameters of a platinum group minerals ore to optimize product size distribution for flotation purposes

Cited by 49 publications

References 9 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

Use of the attainable region method to simulate a full-scale ball mill with a realistic transport model

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